Analyst Jobs

About The Position

Requirements

• 3+ years of experience in the investment industry, ideally within a quantitative investment, risk management, or portfolio analytics function at an asset management firm.
• Strong foundational understanding of risk analytics for derivatives and multi-asset instruments.
• Proven ability to build quantitative risk models and manage large-scale financial data.
• High proficiency in Python and SQL for data analysis and scripting.
• Excellent analytical and problem-solving skills, with a strong attention to detail and the ability to explain complex quantitative concepts clearly to business stakeholders.
• A proactive, results-oriented professional who can manage multiple high-priority projects in a fast-paced investment environment.

Nice To Haves

• Experience with liquid alternatives strategies including global macro, trend following and arbitrage highly desirable.
• Master’s degree in a quantitative discipline (such as Computer Science, Physics, Mathematics, Economics or a related field) is desirable.
• CFA or FRM designation is strongly preferred.
• The ability to enhance and debug core Python libraries is a distinct advantage.
• Direct, hands-on experience with institutional risk systems (e.g., RiskMetrics, Barra) is highly desirable.
• Experience building stakeholder-facing dashboards using tools like Tableau, Python-Dash, or Python-Streamlit is a plus.

Responsibilities

• Validate daily risk analytics across our liquid alternative portfolios, monitoring key metrics such as Greeks, factor exposures, systematic/idiosyncratic risk, performance attribution, stress testing, and Value at Risk (VaR).
• Lead root-cause analysis when unexpected variances in risk metrics occur, troubleshooting issues related to instrument data quality, security master setups, portfolio holdings, and the analytical representation of thinly traded securities.
• Play a crucial role in bringing new liquid alternative strategies onto our risk platform.
• Design and implement the business logic and codebase that translates complex instrument terms and conditions into clean inputs for our security pricing engine.
• Collaborate with engineering teams to build and validate robust instrument loaders and data export pipelines.
• Contribute to the design of our internal data architecture to ensure secure, high-integrity storage of analytics and the establishment of rigorous data quality controls.
• Partner with risk managers to design and launch intuitive risk reports and dashboards that improve transparency and deepen our understanding of portfolio risk.

Benefits

• comprehensive health care coverage
• emotional well-being support
• market-leading retirement
• generous paid time off
• parental leave
• charitable giving employee match program
• educational assistance including student loan repayment
• tuition reimbursement
• learning resources to develop your career