Role Overview
The role holder will be responsible for ensuring that an appropriate model risk framework is in place and that the Group operates in line with that framework, with a particular focus on algorithmic models. They will also be expected to support broader Market, Credit, and Liquidity risk activities within FRM.
Role Responsibilities
Framework Design
1. Ensure that policies and procedures remain compliant with regulatory requirements and aligned with industry best practices
2. Maintain an up-to-date inventory of TP ICAP’s algorithmic trading systems, including third-party vendor models
3. Partner with model developers, quantitative analysts, and IT teams to embed robust risk management practices throughout the model lifecycle
Periodic Model Review
4. Assess, validate, and review model development, implementation, operation and usage
5. Evaluate model assumptions, methodologies, and conceptual soundness
6. Perform independent validations and oversee both internal and external validation processes
Oversight & Engagement
7. Monitor the operation and performance of algo trading systems, including the design and effectiveness of relevant core controls
8. Support the Chair of the Global Algo Forum by defining agendas and preparing and reviewing papers
9. Prepare detailed reports and presentations for senior management, executive committees, and regulators
10. Lead training sessions and workshops to promote model risk awareness and foster a risk-conscious culture across the organisation
Experience / Competences
Essential
11. A Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or a related discipline
12. Experience in model risk management or a closely related field
13. Proven exposure to algorithmic trading systems and order types, including benchmark algorithms (e.g., TWAP, VWAP, POV) and liquidity-seeking strategies (e.g., dark pool aggregators)
14. Demonstrated foundation in statistical analysis, econometric theory, and data modelling
15. Demonstrated ability to analyse complex datasets, assess model performance, and make sound, data-driven decisions
16. Excellent verbal and written communication skills, with the ability to translate technical concepts into clear, actionable insights for non-technical stakeholders
17. A meticulous approach to work, ensuring accuracy and consistency in all aspects of model evaluation and reporting
Desired
18. A Master’s degree or relevant professional certification (e.g., FRM, CFA)
19. Experience with electronic trading platforms such as Trading Technologies, Fidessa, or equivalent
20. Experience in programming languages such as Python, R, SAS, or SQL
Job Band & Level:
21. Manager / 6
#LI-MID #LI-Hybrid