Support the team in identifying and exploring potential AI use cases, including basic research to inform buy-vs-build discussions.
Assist in designing and delivering AI prototypes, contributing across problem definition, experimentation, and pilot stages.
Help build AI-powered features and components under the guidance of senior engineers.
Contribute to the development of datasets, retrieval pipelines, and reasoning workflows across different business functionalities.
Explore integrations with vendor AI platforms and internal AI solutions, learning to reuse existing capabilities where possible.
Help instrument solutions to track adoption, quality, and performance metrics.
Collaborate with the technology team to learn how secure, compliant, and supportable solutions are built.
Requirements
Currently pursuing or recently completed a Bachelor's in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, or a related discipline.
Interest in the financial industry and a curiosity to learn about financial markets (prior exposure is a plus, not a requirement).
Some practical experience with ML/AI concepts through coursework, personal projects, hackathons, internships, or open-source contributions.
Awareness of cloud platforms (AWS preferred); any AWS learning paths or certifications are a plus.
Working proficiency in a modern programming language, ideally Python.
Familiarity with databases such as PostgreSQL, MS SQL, Snowflake, or similar—through coursework or projects.
Foundational understanding of how to build software applications (e.g., Python, APIs, basic system integration, testing).
Exposure to teamwork on software projects, with an appreciation for code quality, good design, and collaboration.
Familiarity with the software development lifecycle, version control (e.g., Git), and an interest in modern DevOps practices.
Ability to break down ambiguous problems into smaller tasks and communicate progress clearly.
Awareness of the importance of working responsibly with sensitive/confidential data, and a willingness to learn about governance, risk, and security practices.
Strong collaboration and communication skills—comfortable asking questions and working with people across business and technology teams.
Driven, curious, self-starter with an inclusive, team-oriented mindset and eagerness to learn.
Tech Stack
AWS
Cloud
Postgres
Python
SQL
Benefits
A professional, international, and high performing work environment
The opportunity to work within a matrix organization alongside cross-functional, international stakeholders
Exposure to multiple private market asset classes, including private equity, infrastructure, real estate, credit, and royalties
A collaborative environment with on-the-job training and mentorship opportunities
Participation in enjoyable office and team events, including volunteering activities that support local communities