Portfolio Risk Analytics & Reporting VP, Large Hedge Fund, NYC
New York
Ref: PRAR-1104
Up to $300k USD total + benefits
Leading Credit Hedge Fund
Portfolio Analytics, Risk Reporting, Structured Credit, Lending, Convertible Arb, Risk Arb, Intex, Python, SQL, R
Hugely successful multi-strat Hedge Fund manages nearly $80 billion across a range of Credit & Real Estate strategies, now seeks to hire a quantitative risk manager for risk reporting, risk analytics and data management of one or more credit and/or arb strategies, including credit solutions, structured credit, middle market lending, convertible arbitrage, and risk arbitrage. Working work closely with PMs, technology, data management, treasury & marketing, you’ll ensure a high level of report and data quality, understanding portfolio risk and returns for risk & PMs. You’ll synthesize & investigate data & explain risk outputs to a broader audience.
KEY RESPONSIBILITIES:
- Work closely with senior quantitative and risk management personnel, front office and technology team to develop, maintain risk reporting and risk application analytics;
- Maintain and develop various risk applications including VaR, stress tests, capital allocation, liquidity reserve etc.
- Monitor daily risk and PnL changes and oversight of the production of risk reports for use by senior management and the front office.
- Design and analyze hedging strategies for credit portfolios, as well as portfolio rotation and portfolio construction.
- Investigate and coordinate resolution of report production and data issues with other company stakeholders.
- Work with the Analytics and Technology to deploy risk measures for portfolio reporting
KEY SKILLS:
- Minimum 6 years’ in a buy side or sell side firms with strong risk management & Quantitative analysis experience
- Significant hands-on Data and programming experience using SQL, VBA, Python, R or some combination thereof
- Deep understanding of Credit products and Derivatives, across Structured Credit, Convertibles, Risk arb, Lending, etc.
- Masters or PhD in scientific discipline from a top university (e.g. Physics, Quant finance, Mathematics, Engineering, etc.)
Contact us
+44 20 7589 8000
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