Hybrid Quantitative Investment Engineer — Data Prototyping

Harbourvest Partners (U.K.) Limited

Boston (MA)

Hybrid

USD 95,000 - 105,000

Full time

14 days+

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Job summary

HarbourVest Partners seeks a Junior Quantitative Investment Engineer to join its Quantitative Investment Science (QIS) team. This role focuses on developing applications, expanding datasets, and translating business requirements into working prototypes within a cloud-based data analytics platform.

Hybrid work arrangement with 18 remote days per quarter, subject to manager approval. Candidates should be proficient in SQL and Python, have 1–3 years in investment management or FinTech, and be

Qualifications

  • Bachelor's degree or equivalent experience.
  • 1–3 years in investment management or FinTech preferred.
  • Proficiency in SQL and data analysis to support design and testing.
  • Proficiency in Python for rapid prototypes.
  • Experience with large datasets and data onboarding.
  • Familiarity with BI tools like Tableau or Power BI.
  • Understanding of DevOps, CI/CD practices.

Responsibilities

  • Translate business requirements into technical solutions and designs.
  • Develop prototypes and end-to-end data analytics solutions.
  • Collaborate with engineers, vendors, and IT to deliver platforms.
  • Document artifacts: task boards, use cases, release notes, and tech write-ups.
  • Onboard new datasets and resolve data exceptions.
  • Support data validation and testing across systems.

Skills

SQL
Python
Data analysis
Data modeling
BI tools

Education

Bachelor's degree or equivalent

Tools

Tableau
Power BI

Job description

HarbourVest Partners seeks a Junior Quantitative Investment Engineer to join its Quantitative Investment Science (QIS) team. This role focuses on developing applications, expanding datasets, and translating business requirements into working prototypes within a cloud-based data analytics platform.

Hybrid work arrangement with 18 remote days per quarter, subject to manager approval. Candidates should be proficient in SQL and Python, have 1–3 years in investment management or FinTech, and be

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