Quantitative Investment Engineer

HarbourVest Partners•Boston, MA

2d•$105,000 - $115,000•Hybrid

About The Position

HarbourVest is seeking a Quantitative Investment Engineer with a passion for data, technology, automation, and finance to join their Quantitative Investment Science (QIS) team. This role involves developing applications and expanding datasets by collecting, clarifying, and translating business requirements into development specifications, conceptual designs, and working prototypes. The engineer will collaborate with a variety of teams, including engineers, researchers, QA, investment professionals, vendors, and IT, to deliver end-to-end solutions within a cloud-based data analytics platform. This platform is a key asset for driving data-driven research to improve investment decision-making in private markets. The ideal candidate will thrive in a fast-paced, evolving environment and possess a work style characterized by high energy, flexibility, integrity, quick learning, and collaboration. This is a unique opportunity to contribute to an industry-leading Quant Investment team building a distinctive platform in private markets.

Requirements

High energy and collaborative work style
Flexibility and willingness to tackle a broad range of analysis, testing, and support assignments
Proficient in SQL and data analysis skills, to support system design and testing
Data modeling and design understanding, including conceptual and logical modeling
Experience in onboarding new, large datasets, with structured and unstructured data while validating quality
Proficient in Python, to support quick prototypes
A track record of completed 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
Bachelor of Arts (B.A) degree or equivalent experience
Bachelor of Science (B.S) credential or equivalent experience
3-5 Years of business analyst experience in the investment management or FinTech industry preferred

Nice To Haves

Curiosity and willingness to continually learn about key business processes to identify potential improvements.
Strong analytical and problem-solving skills, with the ability to dissect and detail complicated situations and propose creative process & technical solutions.
Excellent facilitation and interpersonal skills, with the ability to communicate effectively at all levels, in all forms, and to all functional groups.
Ability to facilitate multiple intricate projects simultaneously.
Understanding of how to elicit and document requirements and issues into appropriate contexts.
Experience with investment data management, especially IBOR or other book of records systems.
Familiarity and experience with agile software development methodologies and tools.

Responsibilities

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