ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Procurement, Market Research, Research

ประเภทงาน:

งานประจำ

• Develop and implement procurement strategies for IT products and services, ensuring alignment with Procurement Policy and budget.
• Collaborate with IT department to understand their needs and ensure that procurement activities meet those requirements effectively.
• Conduct market research to identify potential vendors and evaluate their offerings, pricing, and service levels.
• Negotiate contracts and agreements with suppliers to secure favorable terms and pricing, ensuring compliance with legal and regulatory standards.
• Manage the entire procurement process from requisition to purchase order creation and delivery, ensuring timely and accurate fulfillment of IT needs.
• Monitor supplier performance and conduct regular evaluations to ensure adherence to contract terms and service level agreements (SLAs).
• Maintain relationships with key vendors, resolving any issues related to performance, quality, or delivery.
• Analyze spending patterns and identify opportunities for cost savings and process improvements.
• Prepare and present reports on procurement activities, market trends, and vendor performance evaluation to management.
• Liaise with Finance & Accounting team to estimate IT cost accruals.
• Stay updated on industry trends, emerging technologies, and best practices in IT procurement.
• Bachelor s degree in Business Administration, Information Technology, Supply Chain Management, or a related field. Master s degree is preferred.
• 5+ years of experience in procurement, with at least 3 years specifically in IT procurement or technology sourcing.
• Strong understanding of IT products, services, and solutions, including software, hardware, networking, and cloud services.
• Proven experience in vendor negotiation, contract management, and supplier relationship management.
• Excellent analytical skills with the ability to assess market trends, perform cost analysis, and identify opportunities for improvement.
• Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Proficient in Microsoft Office (Excel, Word, PowerPoint).

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.

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.

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:

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).

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Market Research, Research, Digital Marketing

ประเภทงาน:

งานประจำ

• Support Go-To-Market Strategies: Assist in the execution of go-to-market strategies for digital products and services, including conducting market research to identify growth opportunities within digital channels.
• E-commerce Support: Help optimize our e-commerce platform by analyzing trends and customer behavior to improve user experience and conversion rates.
• Content Creation: Contribute to content development efforts across digital platforms, ensuring it aligns with our brand voice. Work with creative teams to produce engag ...
• Lead Management Assistance: Support the implementation of lead generation strategies to aid in customer acquisition and retention. Use analytics and insights to help refine lead management processes.
• Digital Customer Platforms: Assist in maintaining digital customer platforms that enhance user experience. Help implement initiatives that personalize digital interactions and improve overall customer satisfaction.
• Super App Support: Participate in the development and enhancement of the Super App, ensuring it provides a user-friendly experience for customers managing their accounts and interactions.
• Bachelor s degree in Marketing, Business, Digital Media, or a related field.
• 2-5 years of experience in digital marketing, e-commerce, or a related field.
• Basic understanding of digital marketing strategies and e-commerce platforms.
• Familiarity with content management systems and lead generation processes.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities to collaborate with various stakeholders.

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.

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.