Salary/Package: £85,000 – £90,000 base salary
15% PnL payout
Executive Package (health, dental, pension etc.)
Location: London
Job Type: Permanent


This company was founded in the mid 2000´s and has established itself across Europe and Asia-Pacific as a recognized but still boutique proprietary Investment firm.   Their approach and philosophy focuses on the use of scientific approaches on systematic and diversified trading strategies across all asset classes, and superior risk management techniques to manage exposure. They use a blend of statistical and fundamental analysis to gain an edge for our investment strategies and produce strong PnL performance.  Their culture is best described as dynamic, relaxed, respectful, collaborative and somewhere where new ideas are encouraged and monetized.  It is a firm that recognizes and rewards individual performance and contribution as well as teamwork.  Their culture and environment is now very successful and has resulted in no leavers for over 1 year and their last two years financial performance have been the strongest in the company’s history.  The company also has an exceptionally powerful infrastructure built on low latency C++ on distributed Linux clusters, which is capable of supporting relatively high frequency and latency sensitive models. In addition they have very powerful back testing, simulation and data technologies to help you identify and capitalize on market opportunity.


We have a seat available on the Cash Equities Trading desk, which is a small but highly profitable team of 8 experienced Traders building and running low to mid frequency automated, and semi-automated trading strategies. They are now growing the team and business and would like to hire an experienced Prop Trader and risk taker with a quantitative and analytical mindset, and the ability and interest in designing and deploying new models and strategies, rather than just optimizing existing strategies already built by the team.  They trade Cash Equities, ETF’s, Equity Futures and Index linked products. The team has a strong focus on collaboration, learning and team work, but they will be running their own PnL, therefore experience of managing a book is important. They would also be happy to look at Quantitative Researchers who are perhaps looking to step up and trade their own strategies.


  • Design, build and back test new automated trading strategies and models
  • Deploy these new strategies into production
  • Effectively risk manage your positions in the market
  • Trade profitably, delivering strong PnL performance
  • Work as part of a team to optimize, calibrate and scale existing models and strategies
  • Work within the team to identify potential inefficiencies
  • Work with other teams such as IT, research, operations to streamline process


  • Excellent commercial knowledge and experience of Cash Equities, ETF’s, Equity Futures and Index linked products
  • Experience with low to mid frequency (1 day to 1 month holding period) automated and/or semi-automated trading models
  • Excellent analytical and quantitative ability
  • Can ideally code using at least one programming language, team using Python
  • Ideally have a live strategy/strategies to bring or have strategies back-tested with strong/positive results
  • Collaborative mindset and team player, with sound problem solving and logic skills
  • Experience generating signal from large data sets