About the Company
Our client is a London-based private investment platform managing a diversified alternatives portfolio across private equity fund interests, co-investments, NAV lending facilities, preferred equity structures, and structured credit. Operating with a lean and highly analytical investment team, the firm deploys capital across institutional-quality opportunities in both private and public markets. As the platform continues to scale, the firm is making a foundational investment in its internal technology and data capabilities.
About the Role
This hire represents the first dedicated technology appointment within the business and will play a central role in building the infrastructure, tooling, and analytical systems that support investment decision-making across the platform.
Responsibilities
- The successful candidate will be responsible for designing and building the firm’s technology, data, and AI capability from the ground up, operating at the intersection of investing, quantitative analytics, and modern software engineering.
- The role spans investment infrastructure, machine learning, automation, data engineering, and analytics.
- The successful candidate will work closely with investors across both private and public markets to develop systems that enhance the speed, quality, and scalability of investment decision-making.
- Key responsibilities will include building portfolio monitoring and reporting infrastructure, automating investment and operational workflows, developing AI-enabled research tooling, and constructing proprietary data and sentiment systems used to generate differentiated market insight.
- The role also includes ownership of the firm’s broader technology architecture, including cloud infrastructure, vendor management, cybersecurity resilience, and data governance.
Qualifications
The ideal candidate will come from a quantitative development, data engineering, machine learning, or research engineering background, ideally within a hedge fund, asset manager, investment bank, fintech, or alternative investment platform.
Required Skills
- Candidates should demonstrate strong Python engineering capability alongside experience building production-grade data pipelines, analytics systems, automation tooling, or machine learning infrastructure.
- Experience working with financial datasets, alternative data, NLP workflows, or investment analytics platforms is highly desirable.
- Equally important is the ability to engage credibly with investment professionals and operate fluently across both technology and finance.
- The successful candidate should be comfortable discussing investment structures, portfolio analytics, and market dynamics while also remaining highly hands-on technically.
Preferred Skills
This role is best suited to individuals who enjoy operating in lean, high-performance environments with significant ownership, autonomy, and direct exposure to senior investment decision-makers.