Quantitative Data Analyst

Investment Data Analyst | $60+ B Quantitative Hedge Fund | Boston (hybrid)

One of Boston’s most prestigious quantitative hedge funds has an exciting opportunity for a data analyst to work directly with investment teams. This firm is known for their outstanding culture, quality of life, learning opportunities, and retention. This is a great opportunity to grow into a securities data expert, build automation solutions, and onboard new data sets.

As a Quantitative Data Analyst, you will play a critical role in supporting investment and operational teams. You’ll be at the heart of their data operations, ensuring the integrity and usability of the data that powers their investment decisions. This is a high-impact role with direct exposure to front-office teams and the opportunity to influence investment outcomes through data excellence.

• Data Management: manage the data flow of securities and reference data within internal databases and Black Rock Aladdin
• Data Validation & Remediation:
  Identify, investigate, and resolve data quality issues across fixed income and equity datasets.
• Process Improvement: analyze data and conduct research across multiple databases using Python, SQL, Excel, and 3rd party tooling to create solutions to proactively improve data quality and automate processes
• Data Onboarding:
  Collaborate with external vendors and internal stakeholders to evaluate, acquire, and integrate new data sources.
• Cross-Functional Collaboration:
  
  Work closely with investment teams to understand data needs and deliver actionable insights.

• 3+ years of experience in a data analyst or data engineering role working with investment data and using SQL/Python
• Experience working Black Rock Aladdin

• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Finance, Engineering, Statistics).
• Experience with Python for data manipulation, validation, analysis, and automation.

• Work directly with top-tier investment professionals and quantitative researchers.
• Be part of a data-driven culture where your work has immediate and visible impact.
• Competitive compensation and benefits package.
• Opportunities for growth, learning, and innovation in a fast-paced environment.

• Mid-Senior level

• Full-time

• Administrative, Analyst, and Finance

• Financial Services, Investment Management, and Software Development

• Medical insurance
• Vision insurance
• 401(k)
• Paid paternity leave
• Tuition assistance
• Paid maternity leave
• Student loan assistance
• Child care support
• Pension plan
• Disability insurance