เงื่อนไขการค้นหา

ทักษะ:

SAS

ประเภทงาน:

งานประจำ

• Understand and ensure that business requirements, expectations and opportunities for business are identified, prioritized and represented in IT strategies, also identify the key success factors, current issues and potential solutions to measure the success of the project/strategies.
• Provide technical expertise in assessing IT applications and initiatives to improve and support business processes.
• Lead and provide solutions for application development throughout the lifecycle to b ...
• Manage Stakeholder Relationships: Lead workshops and discussions with business leaders, users, and external vendors to define project scope, manage expectations, and drive consensus.
• Architect the Future State: Lead the analysis and design of business processes, mapping the "AS-IS" state and architecting the optimal "TO-BE" solution.
• Translate requirements into blueprints: Convert high-level business needs into detailed functional specifications, user stories, and process flows for the development team.
• Document business requirements, test cases, and workflow, including training (e.g. SAS, In-House application development).
• Champion Technical Excellence: Provide expert guidance on the capabilities of IT applications and platforms, ensuring solutions are scalable, efficient, and secure.
• Work closely with business users and vendors to ensure the best practices of IT software development life cycles.
• Act as a focal point or Project manager, manage and coordinate the project team, project-related third-party relationships (e.g. offshore providers, Software vendors) deliver on its commitments from solution/vendor selection to go live.
• Enable Business Readiness: Drive business change management, process reengineering, and user training to ensure successful adoption of new solutions.
• Uphold Quality Standards: Lead user acceptance testing (UAT) to ensure software quality.
• Investigate and resolve application functionality-related issues, troubleshoot and identify modifications needed to meet business processes..
• Job QualificationsBachelor s degree in information technology, computer science, engineering, IT or a related field.
• Minimum of 5 years of hands-on experience in business analysis, system analysis or project management.
• Flexible, creative, and up-to-date in the Technology movement to create business solutions.
• Able to multitask and prioritize workload, supporting multiple projects.
• Demonstrable experience translating business logic into technical requirements and system diagrams.
• Proven experience in stakeholder management and influencing senior leaders.
• Good command in English (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Automation, Python

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Finance, Statistics, Python, English

ประเภทงาน:

งานประจำ

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Risk Management, Project Management, Statistics, English

ประเภทงาน:

งานประจำ

• Engage with clients to understand business goals, provide advisory support, and proactively address technical and functional challenges while effectively supporting presentations and demonstrations.
• Build strong relationships with senior client stakeholders to consistently exceed expectations.
• Independently gather and analyze client requirements, developing tailored business solutions.
• Provide expertise on risk management technologies, methodologies, and regulatory frameworks (e.g. Basel, IFRS9, Liquidity, Credit Risk, Market Risk, Operational Risk, Banking Regulations, etc), while developing, maintaining, and enhancing quantitative risk models to ensure accuracy and regulatory alignment.
• Collaborate effectively with senior consultants, managers, and cross-functional teams to achieve project objectives.
• Coordinate regional teams across Southeast Asia to foster consistency and excellence.
• Support project management activities, including scope definition, planning, execution, and delivery.
• Contribute to knowledge-sharing initiatives, training programs, and professional development activities.
• Contribute to proposal development, bid participation, and market expansion efforts to strengthen the firm s presence.
• Your role as a team member: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Consultants across our Firm are expected to:Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
• Understand how our daily work contributes to the priorities of the team and the business.
• Demonstrate strong commitment to personal learning and development.
• Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
• You are someone with:Possesses a degree, preferably in Actuarial Science, Statistics, Economics, Mathematics, Finance, Accountancy, Risk Management, or a related field.
• Professional certifications (e.g., FRM, PRM, CFA) are an added advantage.
• Minimum of 1 to 2 years of relevant experience, ideally within consulting, banking, or financial services.
• Demonstrates strong domain and technical-functional knowledge in regulatory frameworks and risk management solutions, including Basel, IFRS 9, Liquidity, Credit Risk, and Banking Regulations.
• Hands-on experience with data analytics and visualization tools such as SQL, Power BI, Python, and SAS preferred.
• Proficient in Microsoft Excel, PowerPoint, and Word, with advanced skills.
• Strong analytical, problem-solving, and data interpretation skills with high attention to detail.
• Excellent communication, interpersonal, collaboration, and client management abilities.
• Proficient in business-level English, both verbal and written.
• Capable of working independently, multitasking, and managing projects effectively.
• Works efficiently against demanding timelines.
• A high-performing, coachable team player who prioritizes continuous development, puts clients first, and exemplifies a value-driven mindset.
• Due to volume of applications, we regret only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 108502In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Risk Management, Finance, Statistics

ประเภทงาน:

งานประจำ

• Develop and manage databases to support risk management and portfolio analysis.
• Prepare and analyze credit data to assess loan portfolio quality and support credit policy development.
• Manage data systems for IFRS 9 and regulatory reporting to the Bank of Thailand.
• Coordinate with internal teams, auditors, and regulators to ensure compliance with relevant guidelines.
• Bachelor s degree or higher in Finance, Economics, Statistics, Computer Science, or related fields.
• 2-5 years of experience in risk management, credit analysis, or data management in the banking industry.
• Strong analytical and data management skills (SQL, SAS, Python, or similar tools).
• Good understanding of credit portfolio management and regulatory requirements (e.g., IFRS 9, BOT reporting).
• Strong coordination and communication skills.
• Only shortlisted candidates will be contacted**..
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ทักษะ:

Data Analysis, Big Data, Statistics, English

ประเภทงาน:

งานประจำ

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.
• Bachelor's degree or higher in Data Science, Statistics or related fields.
• AI and machine learning professional certification.
• More than 3-5 years of experience in data science and big data using tools, e.g., SPSS, SAS, Alteryx, Spark, Jupyter Notebook and Databricks.
• Excellence communication in Thai and English.

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Master s degree or higher in Sustainability, Environmental Management, Business Administration, Economics, or a related field.
• Minimum 10-15 years of experience in sustainability strategy, ESG management, or corporate environmental programs, with at least 5 years in a leadership or strategic role..
• Proven experience in developing and implementing Net Zero or carbon reduction roadmaps..
• Strong understanding of ESG frameworks and reporting standards (e.g., TCFD, GRI, SASB, SBTi, CDP)..
• Demonstrated ability to collaborate across functions and subsidiaries in large organizations.
• Experience in engaging with government agencies, regulators, and external partners.
• Strong analytical, strategic thinking, and stakeholder management skills.
• Excellent communication and presentation skills in both Thai and English..
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LinkedIn: Krungsri.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

ทักษะ:

Golang, TypeScript, Kafka, English

ประเภทงาน:

งานประจำ

• Design and build backend services with Golang and TypeScript that are secure, scalable, and maintainable..
• Develop REST/gRPC APIs and asynchronous processing with queues/streams (Kafka/RabbitMQ/NATS)..
• Work with PostgreSQL and Redis, including schema design and query performance tuning..
• Establish CI/CD, automated testing, and observability (logging/metrics/tracing) for production systems..
• Design and develop frontend applications with React (Next.js) that are responsive, accessible, and maintainable..
• Integrate frontend applications with backend APIs, manage state using Redux Toolkit or React Query, and ensure smooth data flow across the stack..
• Collaborate with designers to implement pixel-perfect, user-friendly interfaces and ensure consistent UX across web platforms.
• Co-design architectures (Clean/Hexagonal/DDD) with Product, QA, Infra, and Security teams.
• (Optional) Integrate internal Web3/blockchain services where applicable.
• Job Description:Implement microservices using Go (Gin/Echo/Fiber) and TypeScript (NestJS/Express), plus background workers/schedulers..
• Develop and maintain frontend applications with React (Next.js), implementing responsive, accessible, and reusable UI components..
• Integrate frontend applications with REST/gRPC APIs, handle authentication flows, and manage state with Redux Toolkit..
• Optimize frontend performance, bundle size, and rendering speed, ensuring smooth user experience and adherence to web vitals metrics..
• Define API contracts, manage Protobuf/OpenAPI specs, and maintain API versioning..
• Author robust tests (unit/integration/contract) with go test/testify, Jest, etc..
• Build and maintain Docker/Kubernetes pipelines on AWS/GCP with GitHub Actions/GitLab CI..
• Operate monitoring/alerting (Prometheus/Grafana, OpenTelemetry) and do performance profiling (pprof)..
• Enforce application security (authn/authz, OWASP) and conduct regular code reviews.
• Write technical docs, pair program, support agile ceremonies, and participate in on-call rotations..
• Collaborate closely with Product, Design, QA, and Infrastructure teams to deliver high-quality, reliable, and user-focused features..
• Bonus: Build Flutter (Dart) for mobile development, integrating APIs/sockets with proper state management (Bloc/Riverpod) and release pipelines..
• Bachelor s in CS/CE or equivalent experience; we prioritize impact and depth over tenure..
• Proficiency in Golang and/or TypeScript/Node.js (including Go concurrency patterns)..
• Strong foundation in data structures/algorithms and system design (scalability/reliability).
• Hands-on with PostgreSQL and Redis..
• Knowledge of REST/gRPC, API versioning, and secure API practices (JWT/OAuth2/Key management)..
• Practical experience with Git/CI/CD, Docker, basic Kubernetes, and production observability..
• Clear communication, cross-functional collaboration, and strong ownership.
• Thai/English for technical work (read/write).
• Nice-to-have / Bonus.
• Flutter (Dart) for mobile (Bloc/Riverpod, Clean Architecture, Fastlane/Firebase) Bonus.
• Kafka/RabbitMQ/NATS; event-driven architectures.
• GraphQL, WebSocket, real-time systems.
• OpenTelemetry, ELK/OpenSearch, SLO/Error budget, chaos/load testing.
• Web3/blockchain familiarity (optional).
• Practical security (secret management, least privilege, SAST/DAST).
• Container Technology such as docker.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Collaborate with sale teams to gather requirements from customers
• Study and assessment to understand customer IT areas to identify and a group requirement
• Finding the best-fit tech solution among all possibilities to meet customer group requirement
• Define features, pros and cons of the product in order to support production selection
• Create presentation document and explain for entire solution to internal teams and customers
• Supply the technical details of proposed solutions, draft project duration and manday estimation
• Keep up-to-date knowledges in Networking, Security, and associated technologies.
• Experience.
• 2-5 Years s working experience delivering technical networking design & implementation of solutions to customers
• Have experiences of completing low level and high-level designs, following full technical pre-sales and project life cycle
• Be able to design of system, networking, security and managed service solutions with a high level of accuracy. This includes defining solution hardware, licenses, professional services budgets and services. The related products/services relate system, networking and security such as virtualize machine technology, enterprise backup solutions, Microsoft services,
• firewall technologies, next generation firewall technologies, endpoint security platform.
• Familiar with enterprise products such as Vmware, Nutanix, Cisco, TrendMicro, Palo Alto, Veeam Backup, Could services (AWS or Azure)
• Understand security conceptual such as Zero Trust, SASE, Could Security, Security for IoT/OT.
• Prefer a candidate who have worked with IS company background or experienced in implementation engineer or sale which have strong technical background and would like to change to be a presale.
• Good command in English
• Good presentation skill.
• Good communication skill.
• Good team player.
• Good logical thinking.
• Good negotiation and management skill..