Senior Quantitative Risk Opportunity at Leading Equity Focussed Firm
4 weeks ago
OCR has partnered with a multi-billion dollar global long/short equity manager, founded in the noughties, this firm has consistently outperformed equity markets. Our client is looking to hire a Senior Quantitative Risk Analyst to drive the firm’s Risk Management and Portfolio Construction efforts. The role is integral to the firm’s equity-focused Long-Short strategy, requiring a blend of technical expertise and comprehensive knowledge of modern equity risk practices.
This is a strategic growth role, where the joining professional will work closely with the CIO and Portfolio Management teams to enhance risk management frameworks across sectors. You’ll be hands-on in building quantitative tools to support portfolio sizing and risk adjustments while integrating and monitoring risk datasets within the firm’s advanced cloud infrastructure.
The firm highly values innovation, and collaboration, and offers a competitive salary and exceptional overall package focused on professional growth and well-being.
Key Responsibilities:
- Partner with the CIO to monitor and develop the firm’s risk management processes.
- Design and implement quantitative tools for portfolio construction and risk-related solutions.
- Maintain and source new datasets, integrating them within the firm’s cloud-based architecture.
- Customize and enhance factor risk systems, contributing to firm-wide optimization frameworks.
Ideal Candidate:
- 8+ years in quantitative risk analysis, with strong expertise in equity risk models and factor systems.
- Proficient in Python (numpy, scipy, pandas) and SQL; experience with multi-threading and cloud data integration.
- Familiarity with multi-manager or multi-strategy risk management is preferred.
- Technical skills in linear algebra, optimization, probability theory, and time-series analysis.
This role is an urgent hire, and the team is looking to onboard the new hire as soon as possible. If you meet the requirements, please apply now
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