
Role:
This is an excellent opportunity for a Senior quantitative professional to work in a high-impact, analytical, and fast-paced investment environment, supporting a premier markets-focused investment manager. The role involves providing hands-on technical leadership and mentorship, developing and enhancing advanced quantitative risk models, and translating complex mathematical analysis into clear, actionable insights to support investment and risk decision-making.
Role and Responsibilities:
- Mentor and provide technical leadership to junior quantitative staff
- Review, enhance, and validate quantitative risk models and methodologies
- Develop advanced financial risk models (credit risk, portfolio risk, stress testing, econometric models)
- Conduct risk analysis to support portfolio strategy and investment committees
- Perform econometric and statistical analysis on financial and macro datasets
- Translate complex quantitative findings into clear, business-focused insights
- Collaborate with investment, risk, and operations teams
- Contribute to research and thought leadership on emerging/frontier market risks
Candidate Profile:
- PhD in Mathematics, Applied Mathematics, Mathematical Finance, Statistics, Econometrics, or related field
- 7-10+ years' experience in quantitative finance or financial risk
- Strong expertise in probability, statistics, econometrics, and numerical methods
- Proficient in Python, R, or C++ and experienced with large financial datasets
- Strong understanding of credit risk, portfolio risk, VaR, and stress testing
- Excellent communication skills with the ability to translate math into business language
- Proven mentoring and leadership capability
Preferred:
- Experience in emerging or frontier markets
- Publications or research in quantitative finance or risk
- Exposure to Monte Carlo simulation, portfolio optimization, or fixed income risk
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