Hedge Fund Risk & Investment Analytics Analyst

You are a strategic thinker passionate about driving solutions in “Hedge Fund Risk & Investment Analytics”. You have found the right team.

As “Hedge Fund Risk & Investment Analytics Professional ” within our dynamic team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities

• Partner with Risk and Data Analytics & Technology teams to manage data-driven projects and process enhancements.
• Develop repeatable workflows (intake → validation → remediation → publish) with clear documentation and ownership.
• Validate portfolio analytics dashboards to ensure accuracy, usability, and scalability of investment datasets.
• Investigate anomalies to determine root cause (data, logic, calculation, mapping) and implement fixes.
• Create quality checks and exception reporting to reduce recurring breaks and improve confidence in outputs.
• Support hedge fund due diligence by validating, curating, and maintaining manager data quality (completeness, consistency, timeliness).
• Produce analytics and data views that help stakeholders assess managers and identify trends/outliers.
• Implement monitoring for completeness, outliers, breaks, and stale fields with thresholds, escalation paths, and audit-ready evidence.
• Document remediation actions with clear ownership, controls, and repeatability.
• Review statistical packages/tooling and recommend improvements for maintainability and fitness for purpose.
• Identify high-value AI/LLM opportunities to accelerate analytics and data workflows (capture, flags, highlights, automation, query assistance).

Required qualifications, capabilities and skills

• At least 1 year of experience working with large datasets using SQL and Python.
• Experience developing or improving data management processes (controls, monitoring, documentation, repeatability).
• Experience at an investment firm.
• Bachelor’s or Master’s degree in a quantitative/analytical field (Finance, Economics, Statistics, Data Science, Computer Science, Engineering) or equivalent practical experience.
• Strong communication skills to translate data issues and technical choices into clear stakeholder updates.
• Detail-oriented approach to detect inconsistencies and drive issues through to resolution.
• Analytical skills to form hypotheses, test quickly, and validate outputs.

Preferred qualifications, capabilities and skills

• Experience with Tableau.
• Experience with Streamlit.
• Familiarity with RiskMetrics (or equivalent risk/analytics tooling).
• Prior exposure to hedge fund manager/ due diligence analytics and datasets.
• Experience applying or prototyping AI/LLM solutions for analytics and workflow acceleration.
• Experience evaluating and improving statistical tooling for process fit and maintainability.