At a Glance
- Tasks: Develop and validate risk models using Python in a fast-paced financial environment.
- Company: Join a leading financial services firm driving regulatory transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a mix of technical and analytical challenges.
- Why this job: Make an impact on financial regulations while honing your technical skills.
- Qualifications: Strong Python skills and a background in financial services are essential.
The predicted salary is between 60000 - 80000 £ per year.
FRTB (Fundamental Review of the Trading Book) is a global regulatory initiative with compressed US timelines. It requires rapid iteration, testing, and validation of risk models and calculations.
Strategic Risk on P&L is part of an internal regulatory-driven transformation programme focused on:
- VaR (Value at Risk) methodology redesign
There is high complexity across enterprise risk and finance systems.
Role Reality: What This Job Actually Is
This is not a traditional BA role. The actual split is 80% Developer / Technical / Data work and 20% BA / coordination / requirements interpretation.
Candidates will:
- Work directly with risk data, pricing, and calculations
- Troubleshoot and reproduce risk and P&L outputs
- Write Python code regularly
- Participate in technical design and validation discussions
Core Responsibilities
Technical (Primary Focus)
- Use Python to:
- Reproduce risk and pricing calculations
- Identify breaks in P&L and risk outputs
- Resolve data inconsistencies and calculation discrepancies
- Work with risk/pricing platforms via APIs to support testing and validation of regulatory implementations
BA / Functional (Secondary Focus)
- Translate regulatory requirements into practical implementation approaches and technical and functional specifications
- Map end-to-end risk workflows, data lineage, and control frameworks
- Act as liaison between risk/quant teams and engineering teams
Required Skills
Technical (Non-Negotiable)
- Strong Python (core requirement)
- Experience working with analytical/computational systems
- Ability to debug calculations and investigate production issues
- Work hands-on with datasets
Domain Knowledge
- Financial services background (essential)
- Exposure to credit risk, capital, and liquidity
- Understanding of VaR and regulatory frameworks (Basel / FRTB preferred)
Analytical & Behavioural
- Strong problem-solving and investigative mindset
- Ability to explain complex results and discrepancies
- Comfortable operating in complex, large-scale regulated environments
- Able to engage in technical design conversations, not just requirements gathering
Technology Environment
- Enterprise risk/pricing platforms (internally built or similar to industry frameworks)
- API-driven architecture for risk calculations
- Limited cloud usage – more traditional internal platforms
