Santander is looking for a Quantitative Analyst to join their Market Risk team to enhance their risk management and financial modeling capabilities, specifically focusing on fixed income quantitative finance and securitized product modeling, ensuring compliance with regulatory requirements.
Requirements
- Proficiency in Python, R, MATLAB, or SQL.
- Hands-on experience with one or more of Python, R, MATLAB, and SQL
- Advanced Python programming (NumPy, Pandas, SciPy)
- Statistical modeling and machine learning.
- Risk modeling frameworks, financial time series analysis.
- Strong foundation in stochastic calculus, Monte Carlo simulations, and numerical methods.
- Experience with pricing and risk models for fixed income products – particularly securitized products, MBS, RMBS, Agency, Non-Agency, Residential, Commercial, Asset Backed Securities.
Responsibilities
- Conduct qualitative and quantitative assessment of risk models, ensuring data quality, theoretical soundness, and ongoing performance testing.
- Perform independent testing of model assumptions and assess conceptual robustness.
- Utilize statistical and machine learning techniques to analyze model risks and validate outputs.
- Evaluate emerging risks, reach conclusions on strengths and limitations of the model, and provide recommendations to enhance model resilience.
- Develop, test, and enhance risk analytics frameworks for new financial products.
- Implement infrastructure improvements to support new risk analytics models, including performance monitoring controls.
- Implement model changes, enhancements, and remediation plans to align with regulatory expectations.
Other
- Master's or Ph.D. in a quantitative field such as Finance, Physics, Mathematics, Business, Engineering or a related discipline with a modeling background.
- 5-7+ years of experience in market risk model development and/or validation within the financial services industry is highly desired.
- Excellent communication skills to interact with trading desks, risk teams, and regulatory stakeholders.
- Excellent written and verbal communication skills, with the ability to translate complex quantitative concepts into actionable insights for senior management.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
