Risk & Data Analyst (Multi Strategy Hedge Fund) Job at Coda Search│Staffing, New York, NY

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  • Coda Search│Staffing
  • New York, NY

Job Description

The Performance and Risk Analyst will play a critical role in monitoring, analyzing, and reporting on the performance and risk metrics of [Firm Name]’s diverse investment strategies. This role requires a blend of quantitative expertise, technical skills, and a strong understanding of financial markets. The ideal candidate will have 1-2 years of experience in performance and risk analysis, coupled with strong Python and SQL programming skills.

Key Responsibilities

  • Measure and evaluate the performance of various investment strategies, identifying key drivers and trends.
  • Develop and maintain risk metrics and dashboards to provide insights into portfolio exposures, VaR, stress tests, and other risk factors.
  • Extract, clean, and manipulate large datasets from multiple sources to support performance and risk analysis.
  • Prepare detailed performance and risk reports for internal stakeholders, including portfolio managers, risk committees, and senior leadership.
  • Develop tools and scripts in Python and SQL to automate data processing, analysis, and reporting workflows.
  • Conduct ad hoc analyses to support decision-making, including scenario analysis, portfolio optimization, and risk attribution.
  • Work closely with portfolio managers, data scientists, and risk teams to align on methodologies and enhance analytical frameworks.

Key Qualifications

  • 1-2 years of experience in performance analysis, risk management, or a related field within an asset management, hedge fund, or financial services environment.
  • Proficiency in Python and SQL is essential. Experience with data visualization tools (e.g., Tableau, Power BI) and statistical packages is a plus.
  • Bachelor’s degree in Finance, Economics, Computer Science, Mathematics, or a related field. Advanced degrees or certifications (e.g., CFA, FRM) are advantageous.
  • Strong analytical and quantitative abilities, with experience in statistical modeling, portfolio analysis, and risk metrics.
  • Excellent written and verbal communication skills, with the ability to present complex analyses clearly to non-technical stakeholders.
  • High level of accuracy and attention to detail in handling data and reporting.
  • A proactive approach to identifying and solving problems, with the ability to work independently and manage multiple priorities.
  • Solid understanding of financial markets, investment strategies, and risk management concepts.

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