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Experience:

6 years required

Skills:

Instrument, Excel, SAS, English, Thai

Job type:

Full-time

• Credit Risk Modelling - IFRS 9 model development, validation, Basel II/III solutions, including RWA optimisation, scorecard development, and PD/LGD/EAD model development.
• Market, Liquidity and Operational Risk - calculation of market, liquidity and operational risk capital under various regulations, assisting with implementation, and organisational review.
• Risk management advice: reviewing the current risk management framework, and designi ...
• Complex financial instrument valuation: assisting you in financial instrument valuation in order to evaluate its fair valuation in order to evaluate its fair value.
• Insurance modelling: developing and validating risk management models for insurers including liability.
• As Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Conduct financial risk models design and development, model validation and testing, and other advanced data analytics on a wide range of client portfolios (financial and non-financial services).
• Develop and apply credit risk methodologies including IFRS 9 and Basel II /III PD/LGD/EAD models etc.
• Analyse and interpret quantitative results to understand business impact.
• H andle and manage work streams, build relationships and manage clients during the implementation of projects.
• Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
• Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
• Uphold the firm's code of ethics and business conduct.
• Preferred skills.
• Experience in current financial regular landscape will be an advantage (Basel II /III, IFRS 9 etc.).
• Proficient in Excel and/or other analytics platforms (e.g. SAS, SQL, R, Python, Excel VBA).
• Excellent English and Thai written and verbal communication skills.
• Demonstrate strong inter-personal skills and good communication skills, including the ability to document reports and conduct presentations for clients and key stakeholders.
• University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics etc.).
• Analytical and independent thinker with strong English and Thai written and verbal communication skills.
• Between 3 and 6 years of relevant experience.
• If you have any questions, please feel free to contact Prangnart, Human Resources Team, on [email protected].
• We thank all applicants. Please note that only short-listed candidates will be contacted for interviews.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• Yes
• Government Clearance Required?.
• No
• Job Posting End Date.

Experience:

5 years required

Skills:

SAS, SQL

Job type:

Full-time

• ออกแบบ / สร้าง / ดูแล คลังข้อมูลที่เกี่ยวข้องกับงานด้าน Business Intelligence และ Retail Products and Performance บนระบบของธนาคารและบนระบบของผู้ให้บริการ Cloud.
• ออกแบบ / สร้าง / ดูแล เส้นทางการไหลของข้อมูลเพื่อสนับสนุนการวิเคราะห์ทางธุรกิจที่เกี่ยวข้องกับงานด้าน Business Intelligence และ Performance and Profitability.
• สนับสนุนด้านข้อมูลให้กับทีมงานด้าน Business Intelligence เพื่อใช้ในการวิเคราะห์ทางธุรกิจ และการสร้าง Operating Dashboard รวมไปถึงการสร้าง Data Mart ต่างๆ เพื่อใช้ในการบริหารจัดการ Business Performance ในด้านต่างๆ ให้เกิดประโยชน์สูงสุดต่อธนาคาร.
• สนับสนุนด้านข้อมูลเพื่อใช้ในการสร้าง Digital Lending Models and Platforms.
• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ด้านวิศวกรรมศาสตร์ วิทยาศาสตร์คอมพิวเตอร์ บริหารธุรกิจ เทคโนโลยีสารสนเทศ หรือสาขาวิชาที่เกี่ยวข้อง.
• มีประสบการณ์เกี่ยวกับงานด้านนวัตกรรมข้อมูล หรืองานอื่นๆ ที่เกี่ยวข้องไม่น้อยกว่า 5 ปี.
• มีประสบการณ์ในการพัฒนาคลังข้อมูลเฉพาะด้าน (Data Marts) ที่เกี่ยวกับข้อมูลลูกค้า ข้อมูลความเสี่ยง ข้อมูลการตลาด หรือข้อมูลทางการเงินอื่นๆ ที่เกี่ยวข้อง หรือการออกแบบโมเดลข้อมูล (Data Model) การจัดการโครงการพัฒนาระบบ.
• มีทักษะในการใช้โปรแกรมคอมพิวเตอร์ SAS, SAS Enterprise Guide, SAS Enterprise Miner and SQL.
• มีความรู้ด้าน Information Management / Business Analytics หรือมีประสบการณ์ในงานที่เกี่ยวข้องไม่น้อยกว่า 5 ปี.
• มีความรู้ในเทคโนโลยีที่หลากหลายในการพัฒนาระบบต่างๆ หรือมีประสบการณ์ด้านการบริหารระบบงานอย่างน้อย 5 ปี.
• มีความรู้ด้านธุรกิจของระบบงานที่เกี่ยวข้อง รวมถึงนโยบายของธนาคารในภาพรวมและนำมาออกแบบระบบงานและโครงสร้างพื้นฐานด้านเทคโนโลยีได้อย่างเหมาะสม.
• มีความรู้ความเข้าใจธุรกิจธนาคารในภาพรวม ผลิตภัณฑ์และบริการ รวมถึงมีความรู้ด้านการตลาดและการบริหารจัดการความเสี่ยงที่อยู่ในความรับผิดชอบ.
• มีความสามารถในการใช้ภาษาอังกฤษได้ในระดับดี.
• ผู้สมัครสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือกรุ๊ปเลือด ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของข้าพเจ้าแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย".

Skills:

Research, SAS, Matlab, English

Job type:

Full-time

• Review and develop financial and statistical modelling and analytics for a wide range of client portfolios (financial and non-financial services).
• Drive development of new methodologies and approaches.
• Analyse and interpret quantitative results to understand business impact.
• Conduct review and analysis of credit risk, Basel II capital, operational, and insurance risk models.
• Demonstrate strong communication skills, including the ability to document reports and presentations for clients.
• Demonstrate ability to apply judgment, initiative and lateral thought to problem-solving.
• Work closely with the engagement team and manager while understanding individual responsibilities and deliveries.
• Lead thought leadership groups and research and development activities as appropriate.
• Develop and maintain strong client relationships and share insights and experiences with clients.
• Support Partners in the development of the Risk Consulting team across SEA.
• Drive and develop internal initiatives to support the Risk Consulting teams across SEA and the wider consulting practice.
• Preferred skills.
• Understand the current financial regulatory landscape (Basel II/III, IFRS9, etc.).
• Quantitative skills and ability to work with large complex datasets.
• Credit risk modelling experience (PD/LGD/EAD, stress-testing, economic capital, etc.).
• Insurance modelling experience (Pricing, Reserving, IFRS17, etc.) SAS, MATLAB, SPSS, R, Python (or similar statistical analytic tool).
• University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics, etc.).
• Analytical and independent thinker with strong English written and verbal communication skills.
• Minimum years experience required.
• Minimum 10 years of relevant experience.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

Skills:

Accounting, Java, SAS

Job type:

Full-time

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Gather, interpret, and analyze massive volumes of data and apply financial, statistical, accounting, and computer forensics skills to provide cost-effective, proactive strategies and solutions to complex business disputes.
• You'll be responsible for front-line client services, including;Collection of electronic data and digital evidence using forensic technology tools and procedures.
• Recovery of corrupted digital information or deleted digital evidence using PwC's proprietary forensic techniques,.
• Examination of digital evidence to discover facts and validate the allegations.
• Analysis of information stored in the database using forensic analytical tools to discover trends, patterns, anomalies, potential red flags of fraud, and other insights.
• Developing and implementing the information management systems, which allow clients to manage the data.
• Delegate to others to provide stretch opportunities and coach to help deliver results.
• Develop new ideas and propose innovative solutions to problems.
• Use a broad range of tools and techniques to extract insights from from current trends in business area.
• Review your work and that of others for quality, accuracy and relevance.
• Share relevant thought leadership.
• Use straightforward communication, in a structured way, when influencing others.
• Able to read situations and modify behavior to build quality, diverse relationships.
• Uphold the firm's code of ethics and business conduct.
• Preferred skills.
• Experience in programming on various platforms e.g. JAVA, Visual Studio, NET and C++, using data manipulation tools and/or RDBMS driver.
• Knowledge of these technologies: CAAT (Computer Assisted Auditing Technologies), ACL, SAS and ERP Systems.
• Strong interpersonal skills and a demonstrated ability to work in team environments and client-facing situations are essential.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• Yes
• Job Posting End Date.

Experience:

6 years required

Skills:

Instrument, Excel, SAS, English, Thai

Job type:

Full-time

• Credit Risk Modelling - IFRS 9 model development, validation, Basel II/III solutions, including RWA optimisation, scorecard development, and PD/LGD/EAD model development.
• Market, Liquidity and Operational Risk - calculation of market, liquidity and operational risk capital under various regulations, assisting with implementation, and organisational review.
• Risk management advice: reviewing the current risk management framework, and designi ...
• Complex financial instrument valuation: assisting you in financial instrument valuation in order to evaluate its fair valuation in order to evaluate its fair value.
• Insurance modelling: developing and validating risk management models for insurers including liability.
• As Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Conduct financial risk models design and development, model validation and testing, and other advanced data analytics on a wide range of client portfolios (financial and non-financial services).
• Develop and apply credit risk methodologies including IFRS 9 and Basel II /III PD/LGD/EAD models etc.
• Analyse and interpret quantitative results to understand business impact.
• H andle and manage work streams, build relationships and manage clients during the implementation of projects.
• Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
• Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
• Uphold the firm's code of ethics and business conduct.
• Preferred skills.
• Experience in current financial regular landscape will be an advantage (Basel II /III, IFRS 9 etc.).
• Proficient in Excel and/or other analytics platforms (e.g. SAS, SQL, R, Python, Excel VBA).
• Excellent English and Thai written and verbal communication skills.
• Demonstrate strong inter-personal skills and good communication skills, including the ability to document reports and conduct presentations for clients and key stakeholders.
• University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics etc.).
• Analytical and independent thinker with strong English and Thai written and verbal communication skills.
• Between 3 and 6 years of relevant experience.
• If you have any questions, please feel free to contact Prangnart, Human Resources Team, on [email protected].
• We thank all applicants. Please note that only short-listed candidates will be contacted for interviews.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

Experience:

7 years required

Skills:

Statistics, Research, SAS

Job type:

Full-time

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.
• This is an individual contributor role.
• We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
• 7+ years of experience in performing data exploration and feature engineering.
• 8 -10 years of professional work experience in banking, payments, or related industry.
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
• Excellent presentation and storytelling skills, including strong oral and written capabilities.
• Storyboarding and data storytelling including strong Excel and PowerPoint skills.
• In market experience and/or knowledge of local language, culture as well as industry regulations.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Skills:

Statistics, Excel, Data Analysis, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Experience:

2 years required

Skills:

Tableau, Big Data, SQL

Job type:

Full-time

• Able work with data user for implementing and developing the data analyze to actionable insight.
• Gathering, understanding and analyzing detailed of business requirements by using appropriate tools and techniques.
• Creating, monitoring and reviewing the data dashboard report.
• Experience using business intelligence tools or data visualization tool eg.Tableau.
• Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist, data engineer.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel eg.Pivot table, vlookup and PowerPoint.
• Designing and reviewing the test cases including the campaign designs.
• Having a business mind and detail oriented.
• Skills Require Programming languages, such as SQL.
• Analytic Tools such as Tableau, SAS VA, Power BI.
• Statistical Knowledge.
• The ability to analyse, model and interpret data.
• A methodical and logical approach.
• The ability to plan work and meet deadlines.
• Accuracy and attention to detail.
• Interpersonal skills.
• Teamworking skills.
• Communication skills such as Story Telling.
• At least 2-3 year of experience with Data Analysis.
• Understanding ofbusiness intelligence, data analyst, big data, Tableau andSQL.
• Understanding of Teleco industry, Customer Value Management.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง), Waritta Kongsab (วริษฐา กองทรัพย์)

Skills:

Product Owner, Coordinate, Software Testing

Job type:

Full-time

• Job Summary Provide application development including: technical requirement gathering, impact analysis, design/build/test, database design, integration testing, deployment and technical documentation
• Job Description Provide application development including: technical requirement gathering, impact analysis, design/build/test, database design, integration testing, deployment and technical documentation
• Assists in the design, coding and testing the system of technical solutions.
• Understand the requirement and detailed design to develop application which meet requirement target. Able to clarify requirement and match requirement to programming algorithm to development.
• Analyzing and solving system issues, controlling system integration project management
• Support and solve problems of fixed broadband business applications by analyzing production errors, finding root cause and find out interim and long-term solution after project launch. Job Specification Bachelor's or Master's Degree in Computer Engineering, Computer Science or related field. Expert in ANSI C Programming, JAVA
• At least 2 years' experience in Interaction Management, programming and system analysis, project management, software development and design.
• Experience in Omni-Channel management, channel sales/dealers & partners application, call center, campaign, retail application, online/self-service application is preferred.
• High dependency, teamwork, high responsibility and result oriented, strong quantitative analytical, problem-solving and conceptual skill. Skill/Knowledge Computer Language - web application, C, C#. Net, Java, J2EE, JSP, Javascript, Java Servlet, Spring, Hibernate, EJB, Strut, Shell Script, PL/SQL, OOP, Android & IOS
• OS & Database - Oracle, Teradata, Greenplum, Hadoop, Unix, Linux, MySQL, SQL Command/Server, Tunning and Data Stage.
• Reporting Tool - Oracle OBIEE, SAS VA, Tableau, Cognos, Crystal Report.
• Software Interaction Management - Pega, Teradata, Adobe, Salesforce. Recruiter Atitaya Dechpan (อทิตยา เดชปาน), Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)

Skills:

Problem Solving

Job type:

Full-time

• Develop a strategic direction/objectives and roadmap for managing ESG within FWD that aligns with the organization's vision, context, and business strategy. This includes analyzing internal/external factors such as stakeholder expectations, market conditions, and business environmental trends, as well as trends in sustainable management at both national and international levels (Local/International Trends).
• Conduct impact analysis, identifying opportunities and risks related to climate change, including Transition Risks and Physical Risks, to establish a framework for busi ...
• Work with relevant functions to ensure ESG agenda is incorporated in function master plans, business plans, and operational plans for managing ESG impact within the organization, including emissions and greenhouse gas capture.
• Monitor and evaluate the progress of operations according to master plans, business plans, and operational plans, prepare operation progress reports, analyze changes, propose improvement directions, and manage issues for senior management and various committees to establish corrective and preventive measures promptly and effectively.
• Corporate with relevant ESG units such as The Dow Jones Sustainability Indices (DJSI), MSCI, ESG, etc.
• Drive the implementation of ESG initiatives to achieve reduction of paper, gasoline usage, etc that help to improve ESG score or index locally and internally.
• Bachelor s degree or higher in economics, engineering, science or other relevant fields.
• Knowledge of sustainability framework/standards such as GRI Standards, SASB.
• At least 1-3 years experiences in sustainability will be advantaged.
• Understanding of insurance business, insurance operations and regulations relate to financial institution will be an advantage. Strong analytical and problem solving. Good communication skill and stakeholder management.
• 5 years of experience working in the relevant area of expertise.