Quantitative Risk Strategy Analyst
24 hours ago
Roles & Responsibilities About the Role We are hiring a Quantitative Risk Strategy Analyst to join a fast-growing fintech building risk intelligence and financing infrastructure for global trade and supply chain ecosystems. This role is hands-on and highly analytical — ideal for someone who enjoys building models, analysing data and shaping risk strategies that support real commercial decisions. You will join a lean, high-performing team where you will have ownership and visibility from day one , with the opportunity to grow into a senior or lead role over time. Key Responsibilities Develop and enhance quantitative risk models across credit risk, portfolio risk and exposure assessment Perform exploratory data analysis (EDA) and statistical testing to generate meaningful insights Design and implement predictive modelling frameworks using Python Build risk scoring mechanisms, default probability models and portfolio monitoring tools Translate business problems into data-driven risk frameworks Collaborate with risk, product and business stakeholders to support model deployment Document modelling methodology, assumptions and performance tracking Requirements 2–6 years of experience in risk analytics, quantitative analysis, modelling or data science Strong programming skills in Python (Pandas, NumPy, SciPy, scikit-learn) Hands-on experience working with real datasets and developing statistical or machine learning models Strong foundation in probability, statistics, linear algebra or econometrics Experience in credit risk or portfolio risk analytics Able to work independently to explore datasets and build models from scratch Degree in Mathematics, Statistics, Data Science, Financial Engineering, Computer Science, Economics or related field Bonus Experience in trade finance, SME/business lending or supply chain finance risk Familiarity with model validation, scorecard development or risk policy Experience with SQL, data wrangling or pipeline building Exposure to risk strategy or quantitative decisioning frameworks Why Join High-impact quantitative role in a real business environment Opportunity to shape risk strategy using data and models Fast career progression in a lean and growing team Cross-functional exposure across risk, product and commercial teams Strong learning environment and regional fintech exposure EA Personnel: Sim Ee Targa EA Reg ID: R EA Licence No.:24C2359 Tell employers what skills you have Machine LearningPandasQuantitative ResearchModelingFinancial EngineeringMathematicsQuantitative AnalysisExposure AssessmentQuantitative AnalyticsEconomicsStrategyQuantitative FinanceSQLPythonEconometricsStatisticsData ScienceCredit RiskAble To Work Independently
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