Risk & Data Analyst (Multi Strategy Hedge Fund)

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.