Hybrid Quantitative Investment Engineer

Harbourvest Partners (U.K.) Limited

Boston (MA)

Hybrid

USD 105,000 - 115,000

Full time

14 days+
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Job summary

HarbourVest invites applications for a Quantitative Investment Engineer to join the QIS team. The role focuses on developing applications, expanding data sets, and translating business requirements into technical solutions on our cloud-based data analytics platform for private markets.

We operate with a Hybrid Work Arrangement: Remote work 18 days per quarter, managed at the supervisor’s discretion. Ideal candidates bring strong SQL and Python skills, data analysis capabilities, and experience

Qualifications

  • Bachelor’s degree in a related field or equivalent experience.
  • 3–5 years of business/financial investment data experience preferred.
  • Experience translating business requirements into technical solutions.

Responsibilities

  • Capture and translate business requirements into technical solutions, integrations, and system designs.
  • Build and maintain prototypes using SQL, Python, and other relevant technologies.
  • Develop quick functional prototypes and identify tests on data and functionality.
  • Collaborate with engineers, researchers, QA, investment professionals, vendors, and IT teams through the solution lifecycle.
  • Identify, document, and onboard new data sets.
  • Update project artifacts such as task boards, use cases, and release notes.

Skills

SQL
Python
Data analysis
Strong communication
Agile

Education

BA/BS degree or equivalent

Tools

Tableau
Power BI
CI/CD tools

Job description

HarbourVest invites applications for a Quantitative Investment Engineer to join the QIS team. The role focuses on developing applications, expanding data sets, and translating business requirements into technical solutions on our cloud-based data analytics platform for private markets.

We operate with a Hybrid Work Arrangement: Remote work 18 days per quarter, managed at the supervisor’s discretion. Ideal candidates bring strong SQL and Python skills, data analysis capabilities, and experience

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