Job Description
We are looking for a highly analytical and strategic Senior Quantitative Risk Analyst to join our elite risk management division in London. In this role, you will be at the forefront of our financial strategy, utilizing advanced statistical modeling and machine learning to safeguard our assets against market volatility. You will drive the development of predictive risk frameworks that ensure regulatory compliance while maximizing profitability.
Key Benefits:
- Competitive salary and bonus structure.
- Hybrid working model (3 days in office).
- Access to premium professional development programs.
- State-of-the-art tech stack and trading floor environment.
Responsibilities
- Design, implement, and validate quantitative models for credit, market, and operational risk exposure.
- Conduct rigorous stress testing and scenario analysis to evaluate the resilience of the trading portfolio under extreme market conditions.
- Interpret complex model outputs and translate them into clear, actionable insights for the Executive Committee and Risk Committee.
- Ensure all risk models are fully compliant with regulatory standards, including Basel III/IV and UK FCA requirements.
- Monitor real-time market data feeds to adjust risk parameters and hedging strategies dynamically.
- Lead research initiatives into new statistical methodologies and emerging fintech risk trends.
- Mentor junior analysts and contribute to the continuous improvement of the risk team's technical capabilities.
Qualifications
- Master’s or PhD degree in Mathematics, Statistics, Financial Engineering, Economics, or a related quantitative discipline.
- Minimum of 5 years of experience in quantitative risk analysis within the banking or financial services sector.
- Strong proficiency in programming languages such as Python, R, or C++.
- Deep understanding of financial derivatives, portfolio theory, and stochastic calculus.
- Experience with database management systems (SQL) and data visualization tools (e.g., Tableau, PowerBI).
- CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) certification is highly preferred.