Junior Quant Investment Engineer at HarbourVest Partners in Boston, MA

Summary: HarbourVest Partners is a global firm dedicated to delivering impactful solutions to clients and investing partners. They are seeking a Junior Quant Investment Engineer to join their Quantitative Investment Science team, responsible for developing applications and expanding datasets to enhance investment decision-making within private markets. 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 - And other responsibilities as required Required Qualifications: - Strong analytical and problem solving skills, the skill to dissect and detail complicated situations and propose creative process & technical solutions - Excellent facilitation, interpersonal skills, and can communicate optimally at all levels, in all forms, and to all functional groups - Ability to facilitate multiple intricate projects at a given time - 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 - 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 Preferred Qualifications: - Bachelor of Arts (B.A), or equivalent experience - 1-3 Years of business analyst experience in the investment management or FinTech industry Required Skills: SQL, Python, Data analysis Important Skills: Investment data management, Agile methodologies, Data modeling Nice-to-Have Skills: Interpersonal skills, Problem solving, Facilitation skills, Collaboration, Flexibility Benefits: Discretionary annual bonus, Long-term reward programs, Comprehensive total rewards package, Retirement, Health, Insurance, Paid time off, Wellness programs