Quantitative Risk Model Developer
1 week ago
Unlock your potential and excel in a challenging role as a Quantitative Risk Model Developer.
About the RoleThis is a senior leadership position within our Global Risk Analytics (GRA) Traded and Operational (TnO) team. We are responsible for developing cutting-edge risk models that help identify, measure, and manage risk across HSBC.
The successful candidate will be part of a Krakow-based team and work closely with other GRA teams globally to develop and maintain robust risk models and methodologies.
Main Responsibilities- Develop and maintain advanced risk models for various asset classes, including credit, interest rates, equity, and FX.
- Assess and validate model performance using real-world data.
- Understand model features, assumptions, and limitations, and propose validation approaches.
- Identify target market data and undertake validation activities.
- Create new models to cover emerging risks and articulate modeling approaches to stakeholders.
- Ph.D./M.Sc./Bachelor's degree in Quantitative Finance/Physics/Mathematics or related fields.
- Strong experience in quantitative finance and risk modeling.
- Sound understanding of financial mathematics, mathematical analysis, statistics, and linear algebra.
- Knowledge of derivative products and their pricing.
- Proficiency in Python programming language.
- Excellent communication skills and ability to articulate complex ideas.
- A dynamic and supportive work environment.
- Ongoing training and professional development opportunities.
- Collaborative teamwork and international projects.
- Competitive salary and benefits package.
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