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Internship: Quantitative Researcher
4 months ago
We are looking for bright and enthusiastic interns (Master/PhD graduates) to join the team to learn and develop skills used in quantitative research and algorithmic trading.
You will be supporting our quantitative researchers in the following areas:
- Researching vast amounts of market data to identify patterns and express your own fully algorithmic trading strategies
- Creating and implementing strategies into production which means direct feedback on your work
- Efficiently processing, storing, and retrieving huge amounts of market data to identify trading opportunities
- Generating novel ways of analysing and interpreting our proprietary data
- Improving the quality of our simulations and accuracy of forecasts
- Shaping our trading footprint by identifying new markets to trade on
Qualities that make you an ideal candidate may include:
- Complex problem solving, focusing on results rather than process
- Unconventional thinking, creativity and persistence
- Good mix of engineering and data science skills in the domain of time series analysis
- Ability to build whole data analysis pipelines from data preparation and feature selection to efficient training, hyper-parameter optimisation, validation and testing
- PhD, MSc from top tier universities in relevant STEM subjects (mathematics, physics, computer science)
This is a front office trading role and as such permanent remote work is not an option
You must have valid permission to work in the United Kingdom, your application will not be reviewed if you need a visa
- Competitive base salary
- Discretionary bonus scheme
- Private health insurance
- Auto enrolment in defined contribution pension scheme
- Free Friday lunches, drinks and snacks
- Conference budget
- Central London office
Some benefits may only be available for internships over 3 months.
You must be authorised to work in the UK.
If the above job description excites you please submit your CV together with a cover letter that clearly outlines the reason why you apply and what makes you a great fit for the role.
