Junior Quantitative Investment Engineer

HarbourVest Partners•Boston, MA
•$95,000 - $105,000•Hybrid

About The Position

HarbourVest is seeking a Junior Quantitative Investment Engineer to join its Quantitative Investment Science (QIS) team. The role develops applications and expands the team’s dataset by gathering and clarifying business requirements and translating them into development specifications, conceptual designs, and working prototypes. The position works with engineers, researchers, QA, investment professionals, vendors, and IT teams to deliver end-to-end solutions on a cloud-based data analytics platform that supports data-driven research and investment decision-making in private markets. The successful candidate is curious, analytical, collaborative, flexible, and comfortable working in a fast-paced, evolving environment. They will help improve business processes, manage complex projects, elicit and document requirements, and support investment data management. The position uses SQL, Python, and other relevant technologies for prototypes, data analysis, testing, and data-quality validation. This is a hybrid role with 18 remote workdays per quarter, subject to manager approval. The position is not eligible for immigration sponsorship; candidates must be authorized to work in the United States without current or future HarbourVest sponsorship. The base salary range is $95,000–$105,000, with eligibility for a discretionary annual bonus. Total rewards may also include retirement contributions, health insurance, income protection, paid time off and leave benefits, and well-being programs; eligibility varies by position and geography.

Requirements

  • High-energy, collaborative work style.
  • Flexibility and willingness to handle a broad range of analysis, testing, and support assignments.
  • Proficiency in SQL and data analysis to support system design and testing.
  • Understanding of data modeling and design, including conceptual and logical modeling.
  • Experience onboarding large datasets, including structured and unstructured data, while validating quality.
  • Proficiency in Python for developing quick prototypes.
  • Track record of completing high-intensity, high-complexity projects.
  • Experience with business intelligence tools such as Tableau, Power BI, or equivalent.
  • Understanding of DevOps, CI/CD practices, and tools.
  • 1–3 years of relevant business analyst experience, preferably within investment management or FinTech; internship or co-op experience is included.
  • Bachelor of Arts degree, Bachelor of Science credential, or equivalent experience.

Nice To Haves

  • Experience with investment data management, especially IBOR or other book-of-records systems.
  • Familiarity and experience with agile software development methodologies and tools.
  • Relevant business analyst experience in investment management or FinTech.

Responsibilities

  • Capture business requirements and translate them into implementable technical solutions, integrations, system designs, tests, transformations, and reports.
  • Build working relationships with investment teams, platform users, developers, vendors, and suppliers.
  • Create and update project artifacts, including task boards, use cases, application documentation, release notes, and technical writeups.
  • Identify, document, and facilitate the onboarding of new datasets.
  • Develop quick functional prototypes and identify manual and automated tests for data and functionality using SQL, Python, and other relevant technologies.
  • Work with internal data sources and external vendors to understand and resolve data exceptions and irregularities.
  • Perform other responsibilities as required.

Benefits

  • Discretionary annual bonus based on individual and overall firm performance.
  • Retirement contributions.
  • Health insurance.
  • Income protection.
  • Paid time off and leave benefits.
  • Well-being programs.
  • Long-term reward program participation may be available, typically for more senior-level roles.
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