Junior Quant Investment Engineer

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

Skills

• 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
• Bachelor of Arts (B.A), or equivalent experience
• 1-3 Years of business analyst experience in the investment management or FinTech industry

Benefits

• Discretionary annual bonus
• Long-term reward programs
• Comprehensive total rewards package
• Retirement
• Health
• Insurance
• Paid time off
• Wellness programs

Company Overview

Company H1B Sponsorship