Risk Modelling Analyst
4 days ago
**Risk Modelling Analyst - Digital Banking****Experienced (Individual Contributor)**Location Singapore
Department Risk Management
SeaMoney is a part of Sea Group, a leading global consumer internet company. SeaMoney’s mission is to better the lives of individuals and businesses in our region with financial services through technology. SeaMoney’s offerings include mobile wallet services, payment processing, credit offerings, and related digital financial services and products. These are available in seven markets across Southeast Asia and Taiwan under various brands, including ShopeePay, SPayLater, and other brands.**About the team:**In the Regional Risk Modelling team, you will play a crucial role in developing, implementing, and maintaining credit risk, market/liquidity risk and other risk models such as anti-fraud and anti-money-laundering (AML), that align with the digital banks’ risk management strategy. You will collaborate with cross-functional teams, utilizing your expertise in statistical and quantitative modeling, machine learning, programming, and financial analytics to develop risk models that enhance our ability to assess and manage various types of risks effectively. Immediate area of focus is Expected Credit Risk (ECL) models.**Job Description:*** Design, develop, and implement risk models such as application / behavioral / collection (ABC) scorecards, Expected Credit Loss (ECL) models, Interest Rate Risk in the Banking Book (IRRBB) models, Liquidity Gap Report, stress test models, etc.* Utilize statistical and quantitative techniques, machine learning algorithms, and data analytics to enhance the predictive power and accuracy of risk models.* Conduct thorough data analysis to identify key variables and market trends that impact credit, market and liquidity risks.* Work closely with product managers and data owners to ensure the availability and quality of data required for model development.* Code and implement risk models using programming languages such as Python, R, or other relevant languages.* Collaborate with product managers and IT teams to integrate models into the organization's systems and ensure seamless execution.* Perform ongoing validation and back-testing of risk models to ensure accuracy, relevance, and compliance with regulatory requirements.* Identify and address any issues or weaknesses in the models through continuous monitoring and improvement processes.* Prepare comprehensive documentation for risk models, methodologies, and validation processes.* Ensure compliance with internal policies and regulatory guidelines.* Collaborate with risk management, finance, and other relevant departments to understand business requirements and align risk models with organizational goals.* Communicate model findings and recommendations effectively to both technical and non-technical stakeholders.**Requirements:*** Bachelor's or
Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Finance, or related discipline.* Ideally at least 1-year experience in risk modeling within the financial industry.* Experience with IFRS 9 accounting rules and ECL models is a plus.* Strong proficiency in programming languages such as Python, R, or other relevant languages.* Familiarity with machine learning techniques and statistical modeling.* Excellent analytical and problem-solving skills.* Knowledge of regulatory requirements related to risk modeling (e.g., Basel II/III).
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