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