Overview
You will join a leading financial institution within their Quantitative Risk Management team, supporting margin modelling, back-testing, and empirical risk analysis.
Quant Risk Management Consultant β Python β Financial Mathematics β MSc Graduate β 6 -Month Contract Key Skills:
- Masterβs degree in Mathematics, Finance, Economics, Statistics, or related quantitative discipline
- Strong understanding of probability theory, stochastic processes, and financial mathematics
- Experience or internship background in quantitative finance / risk management
- Hands-on programming experience with Python (live coding test required)
- Knowledge of C++, R, or SQL desirable
- Experience analysing derivatives pricing, volatility, and correlations highly advantageous
- Excellent analytical, written and verbal communication skills
Key Responsibilities
- Conduct empirical studies to inform margin modelling and risk mitigation strategies
- Support the back-testing of margin models and validation of assumptions
- Develop and execute quality assurance test cases for margin methodology code
- Build and enhance tools for data cleaning, analysis, and synchronization
- Contribute to risk model research and documentation within the Quant Risk function
- Location: London / Hybrid
- Duration: 6-month contract (replacement role)
- Start: ASAP
Apply now for immediate consideration for this Quant Risk Management Consultant β Python β Financial Mathematics β MSc Graduate β 6-Month Contract role.
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Contact Detail:
Orbis Group Recruiting Team