Staff Data Scientist - Quant Research

• Develop and maintain advanced FX risk models, leveraging cutting-edge quantitative techniques to assess and manage FX risks (scenario modelling, stress testing, BAU risk metrics).
• Perform back-testing and calibration of models to ensure accuracy, robustness, and regulatory compliance.
• Collaborate with engineering teams to implement models within the risk and trading platforms, ensuring scalability and operational efficiency.
• Develop bespoke models and analyses in preparation for market stress events and new product launches

• Conduct in-depth quantitative analysis to support pricing strategies and deliver insights on FX impacts on customer portfolios and products.
• Model customer behaviour under various FX and market scenarios, informing decisions that maximise customer value and minimise risk.
• Proactively monitor and assess the customer impact of FX fluctuations, recommending risk mitigation strategies that align with customer needs and regulatory standards.

• Work closely with FX dealers to integrate model findings into real-time risk management and FX hedging strategies underpinned by customer behaviour models across a multi-region portfolio of products and currencies, including many exotics.
• Partner with product and operational teams to translate complex FX risk scenarios into actionable insights for customer-focused solutions.
• Document and present model results and risk assessments to senior stakeholders, controllers and the Risk team (the second line of defence). Explain complex concepts and propose strategies that align with the company's risk appetite and business objectives.

• Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineers.
• Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation.
• A good understanding of FX market fundamentals and risk management methods and techniques, including VaR/sVAR, EVT/ES, PFE, XFA and Monte Carlo methods.
• A strong product mindset with the ability to work in a cross-functional and cross-team environment;
• Good communication skills and ability to get the point across to non-technical individuals;
• Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.

• Experience in interest rate and cashflow modelling, derivatives pricing (including exotic options), behavioural models
• Real FX trading experience (especially with algorithms)
• Experience with building and maintaining backtesting engines and quantifying backtesting output using standard industry metrics (e.g. Sharpe, Sortino)

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