Analyst, Junior Quantitative Investment Engineer

About the role

We are looking for a Junior Quantitative Investment Engineer 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 part of an industry-leading Quant Investment team building a one-of-a-kind platform in private markets.

Responsibilities

• 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 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.

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.

Qualifications

• 1-3 years of business analyst experience in the investment management or FinTech industry preferred.
• Bachelor of Arts (B.A.) degree or equivalent experience.
• Bachelor of Science (B.S.) credential or equivalent experience.

Ideal Candidate Traits

• 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 ability to dissect and detail complicated situations, and propose creative process and technical solutions.
• Possesses excellent facilitation and 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.
• Has experience with investment data management, especially IBOR or other book of records systems.
• Is familiar and experienced with agile software development methodologies and tools.

Benefits

• Hybrid work arrangement with 18 remote workdays per quarter (subject to manager approval).
• Discretionary annual bonus determined by individual and firm performance.
• Eligibility for long-term reward programs.
• Comprehensive total rewards package including retirement, health, insurance, paid time off, and wellness programs.

Pay

Base Salary Range: $95,000.00 - $105,000.00 (USD). This range represents only one component of total compensation. Total compensation may also include eligibility for a discretionary annual bonus and long-term reward programs.