Coller Capital Expands Data Science Team Amid Surge in Private Equity Secondaries Demand

Coller Capital, a well-established secondaries firm in the market, is seeking to hire an additional data scientist as part of its expansion of its tech platform. The position is based in London and involves collaborating with data, machine-learning, and software engineers, as well as investment professionals to develop data-driven private equity tools. Key responsibilities include implementing predictive models, conducting quantitative analysis, and creating tools to impact multi-million dollar deals. Candidates must hold a master’s or Ph.D. degree in computer science or a STEM subject.

Coller Capital has a history of innovation in private markets secondaries and utilizes over 30 years of proprietary data in its investment process. The firm’s data science team provides quantitative analysis to enhance investment decision-making alongside fundamental analysis. The addition of a new data scientist reflects the firm’s commitment to expanding its team and investing in talent across the board.

The secondaries industry as a whole has been incorporating data science and artificial intelligence to improve efficiency and speed, as previously reported by Secondaries Investor. These tools can provide buyers with a competitive advantage, streamline LP secondaries sales, and bring secondaries market transactions closer to real-time, similar to trading public market securities over-the-counter.

Josh Lowe, a principal at Coller, leads the firm’s data science team and was appointed in 2020. There are currently three other data scientists at the firm. The departure of former data scientist Harry Vander Elst in 2020 led to the launch of RockSling Analytics and his subsequent role as a partner at tech-focused secondaries firm Clipway. The new data scientist position is not a direct replacement for Vander Elst