Coller Capital, a well-established secondaries firm in the market, is looking to expand its tech platform and has put out a job advertisement for an additional data scientist to join its team. The position, based in London, will require working closely with data, machine learning, and software engineers as well as investment professionals to develop data-driven private equity tools.
The main responsibilities of the role include implementing predictive models and algorithms, conducting quantitative analysis, and creating tools that can impact multi-million dollar deals. Ideal candidates for the position are required to have a master’s or PhD degree in computer science or a STEM subject. Josh Lowe, a principal at Coller, leads the firm’s data science team which currently consists of three other data scientists.
Coller Capital is known for its history of innovation in private markets secondaries and has been leveraging over 30 years of proprietary data in its investment process. A spokesperson for the firm emphasized the importance of their data science team in providing quantitative analysis to enhance investment decision making. With the industry trend towards incorporating data science and artificial intelligence, Coller is dedicated to growing its team and investing in talent to stay ahead in the market.
As reported by Secondaries Investor, firms in the secondaries industry are increasingly incorporating data science and artificial intelligence capabilities to improve efficiency and speed. These tools can offer advantages to buyers such as streamlining LP secondaries sales processes and bringing secondaries market transactions closer to real-time trading akin to public market securities.
