Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.
We are looking for a Business Analyst who has a passion for data, technology, automation, and an understanding of finance to join our Quantitative Investment Science (QIS) team. As a member of the team, you will play a key role in developing applications, and expanding our dataset by collecting, clarifying, and translating business requirements into development specifications, conceptual designs, and working prototypes. You will work closely with engineers, researchers, QA, investment professionals, vendors, and IT teams to advance complete end-to-end solutions within our cloud-based data analytics platform, a strategic asset that drives data-driven research to enhance investment decision-making within private markets. You should thrive in an evolving, fast-paced environment, and bring a work style marked by high energy, flexibility, integrity, quick learning, and collaboration. This is a great opportunity to be a part of an industry-leading Quant Investment team that is building a one-of-a-kind platform in private markets.
The ideal candidate is someone who:
- Is curious and willing to keep asking "why?", continually learning about key business processes to help identify potential improvements.
- Has strong analytical and problem-solving skills, the skill to dissect and detail complicated situations and propose creative process & technical solutions.
- Possesses excellent facilitation, interpersonal skills, and can communicate optimally at all levels, in all forms, and to all functional groups.
- Can facilitate multiple intricate projects at a given time.
- Understands how to elicit and document requirements and issues into appropriate contexts.
- Is familiar and experienced with agile software development methodologies and tools.
What you will do:
- Capture business requirements, translating them into 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 write-ups.
- 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.
What you bring:
- High energy and collaborative work style.
- Flexibility and willingness to tackle a broad range of analysis, testing, and support assignments.
- Expert experience in requirements capture, design, and testing experience focused on data platforms supporting business analytics, data science, statistical analysis, and/or quantitative research.
- 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.
Education Preferred:
- Bachelor of Arts (B.A), or equivalent experience.
Experience:
- 3-5 Years of business analyst experience in the investment management or FinTech industry is preferred.
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