
Chief Quantitative Analyst
7 days ago
The Quantitative Analytics group is responsible for developing and implementing models to support business decisions.
This role involves working closely with model developers and risk functions to ensure that models are accurate, reliable, and meet business requirements.
- Model validation: Evaluating the conceptual soundness of model specifications, appropriateness of methodologies, reasonableness of assumptions, and reliability of inputs.
- Ongoing performance monitoring: Conducting regular tests to ensure model performance is acceptable and fit for purpose.
- Model governance: Assisting with model inventory management, issue resolution, and ad-hoc tasks as required.
Required qualifications:
- Analyst or Associate position based on number of years of experience in banking/financial services industry with good understanding of econometric modeling.
- Advanced degree in math/statistics, finance, economics, engineering, or related quantitative discipline.
- Strong writing, organizational, communication, and negotiation skills.
- Strong quantitative and analytical skills, with ability to communicate complex ideas clearly and concisely.
Preferred qualifications:
- Knowledge and interest in Python programming.
- Experience in financial products/markets and regulatory stress testing (CCAR/ICAAP).
About the Role
This is a full-time, permanent position within the Data Science & Analytics department. The ideal candidate will have a strong background in quantitative analysis and be able to work independently or as part of a team.
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