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3 days ago
We are seeking a skilled Quantitative Risk Analyst to join our team. As a key member of our engagement teams, you will have the opportunity to work on complex risk management projects related to asset liability management, interest rate risk in banking book, behavioral modelling, Pillar 1 risks, and Pillar 2 Risks.
- Develop advanced statistical models using Python and Excel to validate cashflow, valuation, and sensitivity models for banking and derivative products.
- Design and implement end-to-end functionalities for modelling macro-economic factors and market prices like Interest Rate, Credit Spread, FX, Commodities, and Volatility.
- Collaborate with cross-functional teams to deliver high-quality solutions that meet client expectations.
The ideal candidate will have strong knowledge of Banking risks and quantification, Basel accords on Banking risk management, financial instrument valuation, and risk assessment. Additionally, proficiency in use of back-end server-side languages like Python, database management systems like MSSQL and PostgreSQL, and experience with statistical, econometrics, and time series analysis is highly desirable.
Key Responsibilities- Work closely with engagement teams to develop and execute risk management strategies.
- Build and maintain complex data models using Python and Excel.
- Validate and refine risk analysis models to ensure accuracy and reliability.
- Provide technical guidance and support to colleagues as needed.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work effectively in a team environment.
- Proficiency in Python programming language.
- Experience with database management systems.
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