ทักษะ:

Finance, Negotiation, English

ประเภทงาน:

งานประจำ

• Underwrite New Business case of A&H according to the underwriting standard.
• Proactively prepare for account renewal review&sponsor campaigns with marketing staffs. Work with sales staff to identify and produce new products and/or packages to meet current or potential market needs and to generate underwriting profits. Ensure approvals from appropriate regional and regulatory authorities are obtained timely. Initiate account and product reviews with sales staff.
• Liaise with other functional groups to ensure appropriate and timely flow of technic ...
• Support the implementation and maintenance of new and existing products.
• Qualifications & ExperienceBachelor s Degree in insurance or related fields (master s degree preferred).
• Solid proficiency of underwriting and insurance industry theories and practices.
• 3years experience in A&H, PA Underwriting.
• Strong background in Group marketing.
• Background in Product innovation and development.
• Comfortable and effective in verbal and written communications in English.
• High level of interpersonal and negotiation skills at multiple levels.
• Experience working within a profit center environment with a mid-size to large multinational company.
• Able to team lead and provide excellent leadership to the department to drive results.
• Ability to work in a fast-paced growth environment and multi-task.
• Effective technical and analytical skills.
• Problem-solving skills and a logical approach to work.
• Strong interpersonal and communication skills, both written and verbal.
• Team work skills but also a willingness to work using your own initiative.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Research, Finance, Excel, English

ประเภทงาน:

งานประจำ

• Regularly update market intelligence, understand the assigned portfolio, and come up with initiatives that increase sales productivities and revenue for both company and business partners.
• As a P&L owner; constantly monitor and analyze performance results of related points; top line numbers, sales production performance, solicitation cost, profit and loss, plan vs actual report, and portfolio mix to make sure bottom line meets company target. Recommend and/or implement appropriate changes.
• Research the current policyholder base and work with data analytic team to recommend segmenting the database, developing retention and conservation programs; launching campaigns.
• Develop action plans to ensure achievement of financial and strategic plans. This includes establishing annual launch schedules, including alternative launches, test launches relaunches, add-on and cross sell campaigns, etc. with recommend measurable profitable production objectives which can be achieved. It also includes submitting completed launch justifications on time.
• Provide guideline for improvement actions and accelerate/prioritize action needed for identified improvement solutions.
• Ensure DM team members and portfolio under supervision are monitored and expanded by identifying targeted list or other new campaigns.
• Understand reports and sources of data, and be able to give feedback.
• Team support for internal and external negotiations.
• Maintaining control over the Profit and Loss ratio.
• Implement a strategy that ensures timely billing collection through a comprehensive, end-to-end approach.
• This involves initiating the billing process, setting clear payment terms, actively following up with clients, and addressing any issues promptly.
• Effective control of your portfolio and billing process will help improve cash flow and financial stability.
• Project Management.
• Brief, negotiate and ensure all internal and external parties agree on concepts, responsibilities, procedures and timetables for each launch. External parties may include government regulators, sponsors, agencies letter shops and other vendors. Internal parties include Customer Service, Underwriting, Telemarketing, Direct Sales, Finance and Management in a country, regional and home office.
• Understand, able to communicate end-to-end process and manage assigned projects within timeline.
• Give guidance and make judgements for campaign implementation solutions.
• Make sure list management is as agreed with sponsors.
• Issue handling; such as business partners' specific requests and customer complaint.
• Any other duties as assigned. Skilled.
• Computer skills with proficient in Microsoft Excel, Word, and PowerPoint.
• High level of interpersonal skills at multiple levels.
• Strong presentation and negotiation skills.
• People and Team skills with strong leadership.
• Logical thinking and able to challenge existing ideas and way of doing things.
• Able to work independently/under pressure and multi-tasking.
• Experience.
• At least 4 years experience in Key Account Management.
• Experience which indicates success in institutional selling in insurance field or Telemarketing or Bancassurance would be an advantage.
• Bachelor or Master Degree in Business Management / Marketing or related fields.
• Efficient in verbal and written communications in native language and in English.
• Skilled.
• Computer skills with proficient in Microsoft Excel, Word, and PowerPoint.
• High level of interpersonal skills at multiple levels.
• Strong presentation and negotiation skills.
• People and Team skills with strong leadership.
• Logical thinking and able to challenge existing ideas and way of doing things.
• Able to work independently/under pressure and multi-tasking.
• Experience.
• At least 4 years experience in Key Account Management.
• Experience which indicates success in institutional selling in insurance field or Telemarketing or Bancassurance would be an advantage.
• Bachelor or Master Degree in Business Management / Marketing or related fields.
• Efficient in verbal and written communications in native language and in English.

ทักษะ:

Big Data, Java, Python

ประเภทงาน:

งานประจำ

• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.
• Educational.
• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, Finance, Risk Management

ประเภทงาน:

งานประจำ

• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.
• Educational.
• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Product Development, Internal Audit, Finance, English

ประเภทงาน:

งานประจำ

• Main Interfaces: Underwriting and Product Development, Claims Department, Operations and Business Integration, Line of Business Team (Direct Marketing, Travel, Brokerage).
• Partner, Broker, Agent, Direct Customer.
• Major Duties and ResponsibilitiesUnderwriting Management.
• Underwrite New Business case of A&H and approve cases within assigned authority according to the underwriting standard.
• Oversee and direct submissions to Head of Underwriting for review beyond delegated underwriting authority.
• Obtain approval by Regional Management or Global Underwriting when appropriate.
• Ensure all business is underwritten within established Internal Audit Guidelines.
• Establish, implement and communicate country underwriting policies and procedures, response timetables and quality standards.
• Proactively prepare for account renewal review & sponsor campaigns with marketing staffs. Work with sales staff to identify and produce new products and/or packages to meet current or potential market needs and to generate underwriting profits. Ensure approvals from appropriate regional and regulatory authorities are obtained timely. Initiate account and product reviews with sales staff.
• Loss Control (appropriate use of the available services).
• Quality Control.
• Underwriting Plan/Monitoring Control.
• Pricing Management (using the Burning Cost Model as appropriate).
• Catastrophe Management.
• Portfolio Planning, including Account Management.
• Portfolio Pricing.
• Portfolio Monitoring and Control.
• Train, mentor and guide Underwriters to be technically proficient in underwriting and product development. Initiate and lead in reviewing underwriting proficiency and customer focus efficiency of Underwriters and Underwriting team.
• Liaise with other functional groups to ensure appropriate and timely flow of technical information into and out of the Underwriting Unit: e.g., Finance and Claims.
• Support the implementation and maintenance of new and existing products.
• Rating and Form development and approval.
• Product library updates.
• Review Regulatory Rate Filing and approval management.
• U/W Coordination with marketing.
• Reporting Relationships
• Reports to: Head of A&H Underwriting
• SkillsComfortable and effective in verbal and written communications in English.
• High level of interpersonal and negotiation skills at multiple levels.
• Experience working within a profit center environment with a mid-size to large multinational company.
• Able to team lead and provide excellent leadership to the department to drive results.
• Ability to work in a fast-paced growth environment and multi-task, also under pressure.
• Advanced excel skill and actuarial knowledge / background is plus.
• ExperienceMinimum 5 years of experience in A&H underwriting.
• Minimum 7 years of experience in insurance industry.
• QualificationsBachelor s Degree in insurance or related fields (master s degree preferred).
• Male, Female age 30-40 years old.
• Solid proficiency of underwriting and insurance industry theories and practices.

ทักษะ:

Industry trends, Project Management

ประเภทงาน:

งานประจำ

• Develop and lead change management strategies and methodologies for the successful execution of various projects and initiatives.
• Collaborate with senior management to create and implement change management plans, ensuring clear communication and understanding throughout the organization.
• Conduct thorough assessments of factors impacting change, including potential risks, challenges, and opportunities.
• Proactively identify and address resistance to change by establishing buy-in from key stakeholders, including employees, management, and external partners.
• Utilize effective communication channels and tools to deliver clear, concise, and timely messages related to changes in business practices and processes.
• Train and mentor employees on change management practices, fostering a positive and collaborative environment conducive to change.
• Collaborate with cross-functional teams to identify areas for improvement in business processes.
• Analyze existing business processes, pinpoint gaps, and recommend and implement process improvements to enhance efficiency and effectiveness.
• Lead project teams to drive the successful implementation of business process improvements, ensuring alignment with organizational goals and objectives.
• Continuously monitor and evaluate the effectiveness of implemented changes, making necessary adjustments as needed.
• Stay up-to-date with industry trends and best practices related to change management and business process management.
• Bachelor's degree in Business Administration, Human Resources, Organizational Development, or a related field (Master's degree preferred).
• Proven experience (>10 years) in leading change management initiatives within complex organizations.
• Strong knowledge and understanding of change management methodologies, tools, and best practices.
• Experience in process improvement methodologies, such as Six Sigma or Lean, is highly desirable.
• Exceptional project management skills, with the ability to successfully manage multiple projects simultaneously.
• Excellent interpersonal and communication skills, including the ability to influence and motivate stakeholders at all levels of the organization.
• Strong analytical and problem-solving abilities, with a keen attention to detail.
• Ability to adapt to changing priorities and thrive in a fast-paced, dynamic environment.
• Proficient in using business process management tools and software.
• Relevant certifications in change management or process improvement (e.g., Prosci, BPMN) are a plus.

ทักษะ:

Project Management, Power BI, English

ประเภทงาน:

งานประจำ

• Collaborate with APAC Senior Leadership team in formulating agency recruitment, training, and development strategies to achieve Chubb Life s strategic ambitions in targeted markets. Develop Chubb Training as USP for go to-market recruitment strategy.
• Lead and design the training and development roadmaps for new and existing agents and leaders in different cohorts in markets to deliver the ambition of agency business growth in manpower and sales. Ensure high activation rate on early-stage onboarding for new recruits and consistent performance for existing agency force.
• Lead and design the scalable and sustainable quality agency model in markets to deliver the ambition of agency business growth in manpower and sales. Use persistency and early-stage warning/health indicators to ensure quality and sustainable new business.
• Lead and formulate key training and development initiatives according to market level strategies, set direction of how these initiatives translate into execution priorities and actions with key stakeholders, work with delivery team on prioritization, business case gating and the delivery to achieve quality agent and leader development.
• Align training and its results with compensation (including commission, allowance and indirect expenses) scheme philosophy and design.
• Act as APAC Center of Excellence to support markets in Agency Recruitment & Retention. Training and Development, covering uplift agency trainers, agency leaders management capabilities and mindset, cultivate quality recruitment.
• Lead and design a regional Next Gen Agent, Next Gen Leader, mid-tier agency leader as well as senior agency leader development framework & standard to develop Chubb home-grown MDRTs and agency heads. Drive Early- bird MDRT, Repeat MDRT and MDRT Builder initiatives.
• Lead and design a regional recruitment selection and on-boarding standard to uplift the new recruits experiences, sales performance and retention. Review, enhance and make recommendations on recruitment criteria, requirements and process to ensure effectiveness and competitiveness.
• Lead and design sales, recruitment and agency management tools and digital support in markets to enhance efficiency and effectiveness of the productivity, coaching and performance management. Ensure high adoption rate align with timeline, targets and objectives. This is also part of USP for go-to-market and easier to do business with.
• Manage agency leader cohorts with appropriate training and development programs and incentives for manpower uplift and promotion among cohorts. Design and plan for leader career path including promotion to higher rank with competitive promotion and maintenance of contract criteria.
• Possess sound knowledge of life insurance industry in terms of distribution strategies, agency training and development, agency award and recognitions as well as agency compensation to formulate opportunities for supporting company key performance indexes.
• Apply project management skills with multi-tasking competency, work closely with multiple stakeholders companywide.
• Strong data analytics and leverage digital platform or tools (eg. Power BI) to manage business performance.
• Proactively address current and potential challenges, as well as opportunities, anticipate obstacles, develop contingency plans, make well-reasoned decisions and generate options to solve problems.
• Strong leadership, interpersonal and influencing skills.
• Strategic planning and proven execution in short and long-term plans.
• Degree holder, preferably FLMI holder.
• Minimum 10 years relevant experience in Life Insurance Agency Recruitment, Training, and development. On-site experience in SEA is a plus.
• Good team player with creative mindset.
• High degree of independence of decision making and project execution.
• Strong business sense and willing to accept challenges.
• Good command in English and another SEA native language both in speaking and writing would be advantageous.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Compliance, Legal, Risk Management, English

ประเภทงาน:

งานประจำ

• Serve as the subject matter expert of and provide advice on Distribution and Consumer Compliance matters, including the requirements of the Chubb Life Agency Compliance Standards Interpretive Guidance (ACSIG), Telemarketing, and other standards.
• Engage distribution channels to discuss and create awareness of market conduct, distribution and sales compliance issues. Assist distribution channels to implement preventative control(s) and monitor issues identified.
• Monitor and review the proper implementation of the Company s distribution and sales ...
• Implement Chubb Life s Distribution, Consumer or Market Conduct initiatives.
• Regular communication and conduct training for staff, distributors, and relevant stakeholders on Chubb s Three Lines of Responsibility, Business Compliance Framework to ensure understanding of the roles and responsibilities of the Three Lines; fraud awareness and management; regulatory and ethical standards on market conduct, and other related subjects.
• Review policies, procedures, and guidelines (PPGs) related to the distribution channels to ensure alignment with laws, regulations, and internal policies, including reviewing the procedures from business units that have connection with distribution compliance requirements and standards.
• Conduct Line 2 monitoring of field sales practices to identify compliance risks and recommend timely risk-mitigating actions, working in collaboration with Line 1 (Business) and Line 3 (Internal Audit) to ensure the Line 2 work is complementary and not duplicative.
• Investigate complaints related to market conduct, conduct investigations related to sales force, employee and third-party fraud and misconduct, prepare the investigation report, and recommend appropriate disciplinary action.
• Support the Head of Compliance in driving the analytics capabilities and insights to better identify emerging Distribution, Consumer and Market Conduct risks, and monitor the trends of complaints, investigations, key compliance risk indicators and sales metrics, including reporting to the relevant Governance Committee(s) in the form of regular Complaint and Market Conduct Committee reporting.
• Work closely with relevant business units to develop conduct risk and fraud parameters, and to leverage findings from various data sources to identify areas of concern or clusters of issues or risks requiring further investigation.
• Provide objective and quality reports, regular or ad hoc, within the expected timeframe to inform the progress of Distribution Compliance tasks.
• Administer the organized and timely conduct of Complaint and Market Conduct Committee meetings, including the scheduling and management of attendance, preparation and proper record keeping of meeting minutes etc.
• Maintain and conduct Fraud Risk Assessment related to the Company s Anti-Fraud Program in a timely manner as required by Chubb Group.
• Undertake and perform any additional duties as required.
• Minimum of at least 3years experience in Distribution and Consumer Compliance and/or Anti-Fraud in the insurance industry including work experience in relation to agent sales practices and behaviour, fraud and misconduct, training and communication, investigations, dealing with regulators and minimum of at least 5 years experience in insurance business or financial business.
• Good understanding of conduct risks, and distribution & sales compliance issues and governance framework.
• Experience, confidence and maturity to communicate and deal with chief agency officer, agency leaders, agents and management on distribution, consumer and market conduct issues.
• Experience in data analytics including trend analysis and alerts in early fraud detection.
• High integrity and professionalism.
• Strong knowledge of legal, compliance, and risk management requirements in order to provide sound and practical advice to the business units.
• Strong knowledge of insurance products, compliance processes and regulatory requirements.
• Strong investigation, communication and training skills.
• Excellent command of written and spoken Thai and English.
• Good interpersonal skills and ability to work in a team and independently.
• Proactive, high initiative, with the ability to multi-task and deliver to tight deadlines.
• Experience in multinational matrix environments, audit and/or sales compliance advantageous.
• Certification in fraud investigation; other Compliance professional accreditation advantageous.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Software Development, Electrical Engineering, Product Owner

ประเภทงาน:

งานประจำ

• Background in computer science, information systems, or another related field OR MS/BS degree in software development, computer science, information systems, or electrical engineering.
• Able to link the architectural vision with the business vision and building solutions that focus on business value, not just technical excellence.
• Use Agile engineering practices and other technologies to rapidly develop creative and efficient solutions to enhance customer and agent experience Identify and communi ...
• Work with Digital Product Owner and members to refine and maintain product backlog and estimate resourcing/timing requirements for development.
• Build solutions as required by the Small commercial division, while adhering to best-in-class integration standards and practices.
• Comply with standard processes and procedures including change control, configuration management and logical access control.
• Engage with Chapter in the spirit of continual development; upgrade skillset and expertise continuously to improve problem solving ability and engineering craft .
• Functional Competency.
• Able to provide technical excellence while embracing flexibility over building bulletproof systems.
• Passionate learner who keeps up with evolving technologies and is willing to experiment to test what would work for the business.
• Experience in or willingness to learn Agile methodology and working in a cross functional team.
• Experience of relational database development (e.g. SQL and JDBC).
• Working knowledge of file transfer protocols and configuration (e.g. SFTP, FTP).
• Strong background in XML (e.g. DOM, SAX, XPath and Schemas).
• At least 8 years of software engineering experience and deep expertise with 1-2 core programming languages (e.g., Java,.NET, Ruby, JavaScript or Typescript).
• Track record of successful delivery of technical components of integration platforms and transformation projects.
• Knowledge of non-functional considerations (scalability, availability, reliability, manageability) for complex, distributed environments.
• Educational.
• Background in computer science, information systems, or another related field OR MS/BS degree in software development, computer science, information systems, or electrical engineering.
• Able to link the architectural vision with the business vision and building solutions that focus on business value, not just technical excellence.
• Use Agile engineering practices and other technologies to rapidly develop creative and efficient solutions to enhance customer and agent experience Identify and communicate issues/risks to the relevant stakeholders (Digital Product Owners, Service/Platform owner, Domain lead).
• Work with Digital Product Owner and members to refine and maintain product backlog and estimate resourcing/timing requirements for development.
• Build solutions as required by the Small commercial division, while adhering to best-in-class integration standards and practices.
• Comply with standard processes and procedures including change control, configuration management and logical access control.
• Engage with Chapter in the spirit of continual development; upgrade skillset and expertise continuously to improve problem solving ability and engineering craft .
• Functional Competency.
• Able to provide technical excellence while embracing flexibility over building bulletproof systems.
• Passionate learner who keeps up with evolving technologies and is willing to experiment to test what would work for the business.
• Experience in or willingness to learn Agile methodology and working in a cross functional team.
• Experience of relational database development (e.g. SQL and JDBC).
• Working knowledge of file transfer protocols and configuration (e.g. SFTP, FTP).
• Strong background in XML (e.g. DOM, SAX, XPath and Schemas).
• At least 8 years of software engineering experience and deep expertise with 1-2 core programming languages (e.g., Java,.NET, Ruby, JavaScript or Typescript).
• Track record of successful delivery of technical components of integration platforms and transformation projects.
• Knowledge of non-functional considerations (scalability, availability, reliability, manageability) for complex, distributed environments.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

Accounting, Compliance, Finance, English

ประเภทงาน:

งานประจำ

• Prepare and perform analysis of monthly, quarterly and annual reports, including regulatory reports, internal financial reports and other reports upon requirements, submitted to regulators and regional office and ensure submission within set time frame, data providing with the completeness, accuracy and compliance with regulation and accepted accounting policies and principles.
• Provide assistance to prepare statutory financial statements and Board of Director pack and ensure accuracy and submission within due date.
• Liaise with auditors and be a coordinator with other departments in order to finalize and complete Financial Statements.
• Provide timely and accurate responsiveness to regulatory requests for any financial information.
• Prepare or liaise with relevant parties i.e. Operations / IT / Business dept. / regional office in preparing any adhoc reports requirement either from internal or external request.
• Update any accounting standards and OIC rules / notifications which have impact to the regulatory reports or financial data and bring concern to or discuss with Manager.
• Other duties as assigned.
• Required knowledge, Skills and qualifications.
• Bachelor of Accounting or Finance.
• Have strong accounting practices in Life Insurance Industry.
• Overall working experience at least 10 years.
• Audit background & US GAAP experience are advantageous.
• CPA is preferable.
• Strong analytical skills with the ability to set priorities, complete work with minimal supervision, and meet deadlines.
• Thrive in problem-solving.
• Excellent English writing and communication skills.
• Diplomatic in handling internal and external stakeholders.
• Developed financial management/ accounting skills are essential.
• Experience in managing multiple priorities and stakeholders in a culturally diverse environment.
• Meticulous with a strong analytical mind and ability to work under pressure to meet tight schedules.
• Strong in leadership & coaching skill.

ทักษะ:

Automation, Product Owner, Python

ประเภทงาน:

งานประจำ

• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.
• The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
• Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
• Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
• Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
• Write up and maintain technical specifications, design documents and process flow.
• Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
• Elaborate user stories for technical team and ensure that the team understands the deliverables.
• Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
• Provide direction to the Agile development team and stakeholders throughout the project.
• Assist in Data Architecture design, tool selection and data flows analysis.
• Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
• Handle ad-hoc analysis & report generation requests from the business.
• Respond to data related inquiries to support business and technical teams.
• 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
• Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
• Extensive experience developing complex solutions focused on data ecosystem solutions.
• Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• In depth knowledge of data engineering and architecture disciplines.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Solid understanding of P&C Insurance data.
• Technical expertise regarding data architecture, models and database design development.
• Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
• Working knowledge/familiarity with Git version control.
• Strong Knowledge of analyzing datasets using Excel.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
• Good communication and presentation skills.
• Solid problem solving, decision making and analytical skills.
• Knowledge & working experience with Duck creek is an added plus.
• Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
• Experience with JIRA.
• Experience being part of high-performance agile teams in a fast-paced environment.
• Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
• Proven ability to produce results in the analysis, design, testing and deployment of applications.
• Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
• Strong coaching / mentoring skills.
• Applies technical knowledge to determine solutions and solve complex problems.
• Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
• Excellent communication and negotiation skills.
• Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.