This is an analytics development position within the Counterparty Credit Risk Quantitative Research group with a focus on Counterparty Risk models. The role affords the new team member opportunities to gain cross-asset experience in a wide range of business areas and its products and models, while contributing to the model development for business specific as well as bank-wide models.
Core Responsibilities :
- Implementing a wide variety of software including: product payoffs, frameworks for pricing and risk management and pricing algorithms and models
- Supporting, upgrading, and debugging the software, partnering with other Quants, Traders, and Technologists
- Liaising with technology groups to deliver the analytics to systems for use by the business
Qualifications :
Essential skills, experience and qualifications :
- Knowledge of at least one of Python/C++
- Strong analytical and problem solving abilities.
- Good communication.
- Degree educated or equivalent in a technical discipline
Desirable skills, experience and qualifications :
- Strong C++ development skills in a numerical (scientific) programming setting.
- Strong C++ design skills
- Prior experience in Python an advantage
- Professional software development experience
- Experience in High-Performance Computing (eg grid computing, GPU)
- Knowledge of basic options pricing
- Knowledge of basic probability theory
- Banking experience is a distinct advantage
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