Staff Data Scientist - Quant Research
Staff Data Scientist - Quant Research
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
We are seeking a Talented Markets Data Scientist (Quantitative researcher) with expertise in FX risk modelling to join our dynamic Treasury team. This role focuses on driving our FX risk and pricing models and optimising their impact on our trading strategies.
Our FX team manages the risk on our GBP 105bn FX book and our GBP 15bn of customer assets.
Heres how youll be contributing:
FX Risk modelling and analysis:
- 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
Customer-centric insights:
- 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.
Collaborative strategy development:
- 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 companys risk appetite and business objectives.
Qualifications :
A bit about you:
- 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.
Some extra skills that are great (but not essential):
- 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)
Additional Information :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
