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DTG Capital Markets
New York, New York, UNITED STATES
(on-site)
Posted
4 days ago
DTG Capital Markets
New York, New York, UNITED STATES
(on-site)
Job Function
Analytics
Quantitative Researcher (Risk Management)
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Quantitative Researcher (Risk Management)
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Job Title: Quantitative Analyst/Quant Dev-RiskLocation: New York, NY
Team: Risk / Quantitative Research
Role Overview
We are seeking a highly skilled Quantitative Analyst/Quant Dev with focus on Risk Management to join our New York-based hedge fund. The firm operates anon-pod, centralized investment platform with significant assets under management and a collaborative investment culture.
This role is critical to the development and enhancement of quantitative risk frameworks across multi-asset portfolios and works closely with senior Portfolio Managers, Trading, and Research teams.
The successful candidate will help drive firm-wide risk transparency and provide actionable insights that inform trading, portfolio construction, and capital allocation decisions.
Key Responsibilities
-
- Develop, implement, and maintain quantitative models to measure and monitor market, credit, liquidity, and tail risks across portfolios
- Design and maintain risk metrics including VaR, CVaR, stress testing, scenario analysis, drawdown analysis, and factor-based risk attribution
- Analyze portfolio exposures across equities, fixed income, and derivatives, with a cross-asset perspective
- Partner closely with Portfolio Managers and Trading teams to provide real-time and forward-looking risk insights
- Build and enhance tools and dashboards for risk monitoring, reporting, and escalation
- Conduct ad hoc analyses related to portfolio construction, leverage, concentration, correlation dynamics, and hedging effectiveness
- Validate and backtest risk models; assess assumptions, limitations, and performance under stressed market conditions
- Support firm-wide risk governance, including risk limits, controls, and documentation
- Stay current on market structure, quantitative risk methodologies, and evolving risk best practices
Required Qualifications
-
- Advanced degree (Master's or PhD) in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative field
- 3-10 years of experience in buyside quantitative risk management
- Strong understanding of financial markets and portfolio theory
- Proficiency in Python
- Experience with statistical modeling, time series analysis, and numerical methods
- Ability to work with large datasets and develop production-quality analytics
- Strong communication skills with the ability to explain complex quantitative concepts to investment professionals
Preferred Qualifications
-
- Strong knowledge of cross-asset derivatives (equity, rates, FX, credit, or commodity derivatives) significant plus
- Experience supporting discretionary or systematic hedge fund strategies in a non-pod environment
- Familiarity with factor models and risk decomposition across asset classes
- Experience with real-time risk systems
- Prior involvement with institutional or firm-wide risk frameworks
What We Offer
-
- Competitive compensation including base salary and performance-based bonus
- Opportunity to work at a sizable hedge fund with a centralized investment platform
- Direct impact on portfolio and risk decisions at the firm level
- Collaborative, high-performance culture
- Access to senior investment professionals and cutting-edge quantitative research
- Comprehensive benefits package
Job ID: 82167829
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