Address
Form of work
SalaryThey deploy systematic trading strategies across asset class; including equities, futures, and foreign exchange. Researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques.
They are recognised as a very successful spin out, with consistent, profitable returns. They take pride in being highly driven by research, data and technology. The team looking to expand is a highly successful quantitative strategies team based in London largely composed of traders, researchers and engineers.
The role
Key responsibilities will include
- Collaborating with other researchers to collect data and analyse targeted markets in search of trends and patterns.
- Utilising this data to develop predictive trading models and generate signals
- Backtesting signals and converting them into strategies, helping the team capitalise on opportunities in the market.
- Analysing strategy and performance, and optimising the portfolio
Ideal Candidates
- Bachelor's or Master's degree in Computer Science, Maths, Statistics, Physics or Computational Finance. Other STEM Subjects also considered.
- Ideally intern+ experience in technical role or quantitative role; covering coding, quant research, alpha generation or systematic trading
- Strong Python/C++ skills.
- Great interest in systematic/algorithmic trading.
- Strong communication
The benefits
- Highly competetive compensation package.
- Opportunity to work with the best technology in the market.
- Steep learning curve and internal fludity
- Offers great pension contribution.
- Flat collaborative structure.
- Top healthcare plan and comprehensive maternity/paternity policy.
- Access to an onsite gym, stocked pantry and free lunch.
Other
Visa sponsorship is available
