Salary: £200k base + £150 – £400k bonus // All experience levels
Client:
One of the world’s top market makers is expanding their Machine Learning and related AI teams. Already a market-leader, in the past few years they have invested extensively in their data offerings and are ready to expand their ML and AI teams to stay ahead of the curve.
A cross-asset liquidity provider, they do a huge volume of trades daily and are working with massive data sets that require enormous computational power.
Role:
You’ll be extracting signals from vast datasets of market data to gain beneficial insights. Your time could be split between alpha generation in a trading team and time in the core engineering team – working very collaboratively as a firm to maximise PnL for the collective. For example, if you’re sat on an FX desk and find something useful, you’ll share the knowledge with the Equities team. You’ll be using ML to find ways to cut through the noise – how can you improve day-to-day performance with ML techniques? Is there AI assistance you can utilise to make everyone’s life easier – from traders to operations, and ML tools for engineers?
Requirements:
Extensive ML experience
Strong programming skills in any OO language
Collaborative nature with excellent communication skills
Ability to balance pragmatism and great tech
Benefits:
Shape the firm and, to an extent, the industry’s ML developments
Attend conferences
Excellent compensation package
Good work-life balance
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
:quality(80))
:quality(80))
:quality(80))