Financial Risk Analyst
Mumbai, Maharashtra, India · Jornada completa
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- Experiencia
- 2–3 años
- Salario
- —
- Vacantes
- 1
- Al corriente
- Hace 4 horas
- Modo de trabajo
- En la oficina
- Educación
- Master's or Bachelor's in quantitative disciplines
- Reanudar
- Se requiere solicitud
Dónde trabajarás
Descripción del trabajo
Overview
BDO India is looking for a meticulous and analytical individual to join as a Financial Risk Analyst in Mumbai. The role involves supporting model development, validation, and analytics within the capital markets domain. Responsibilities include building derivatives pricing models, statistical and liquidity/treasury models, conducting data-driven analyses, and aiding risk management activities. Familiarity with machine learning and AI models is advantageous.
Key Responsibilities
- Create and validate comprehensive models using advanced statistical methods and programming algorithms.
- Perform model validation and back-testing to evaluate current models, identifying their strengths and potential weaknesses for enhancement.
- Understand and contribute to Model Risk Management practices, maintain Model Inventory, and support Risk Control procedures.
- Document model methodologies, inputs, and outputs thoroughly for audits and regulatory compliance.
- Process, clean, and analyze extensive datasets to support assumptions and validation of models.
- Develop efficient dashboards for tracking model performance and reporting outputs.
- Conduct specialized analyses and reporting for valuation and analytics teams as required.
- Support risk management efforts via statistical analysis and modeling of mortgage asset behavior.
- Analyze hedge activities including interest rate risks associated with different financial instruments and assist in structuring hedge programs.
- Perform scenario analysis and stress testing leveraging macroeconomic indicators.
Qualifications & Skills
- A Master's or Bachelor's degree in statistics, econometrics, quantitative finance, or a related quantitative discipline.
- Proficient in programming languages such as Python, R, SAS, or equivalents.
- Experience handling large datasets and using data analysis tools.
- Understanding of capital markets, mortgage assets, and risk management concepts is preferred.
- Strong analytical capabilities, problem-solving aptitude, and communication proficiency.
- 2 to 3 years of professional experience in consulting, investment banking, or asset management environments.