Delmar Nord
Investment Data Analyst | $60+ B Quantitative Hedge Fund | Boston (hybrid)
Delmar Nord, Boston, Massachusetts, us, 02298
Overview
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.
The Opportunity As an Investment 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.
Key Responsibilities
Data Management: manage the data flow of securities and reference data within internal databases and BlackRock 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
Required Experience
3+ years of experience in a data analyst or data engineering role working with investment data and using SQL
Experience working BlackRock Aladdin
Nice to have
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
Why Join
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.
#J-18808-Ljbffr
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.
The Opportunity As an Investment 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.
Key Responsibilities
Data Management: manage the data flow of securities and reference data within internal databases and BlackRock 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
Required Experience
3+ years of experience in a data analyst or data engineering role working with investment data and using SQL
Experience working BlackRock Aladdin
Nice to have
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
Why Join
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.
#J-18808-Ljbffr