The latest opportunities from ecm.

See what we can offer you, and tell us you're interested. We'll do the rest.

The ecm guarantee.

We know what it's like to be looking for a high-tech job - we've worked in the industry ourselves! Here's how we work:

  • If you send your details to ecm, we treat them as confidential.
  • We only send your CV to a company with your express prior permission.
  • We will speak to you before we do anything.
  • All ecm consultants have a technical background in engineering, maths or the physical sciences.
  • Let us do the hard work – if you can't see quite the right job for you, let us look for you.

Machine Learning Quant Analyst (23425)

to £outstanding + top bens

machine learning, ML, quant, finance, Bayesian, neural network, London, PhD

This company is a market leader in applying the newest ML and mathematical techniques to commercially successful products used in the finance industry. They maintain their competitive advantage by continually seeking out the best talent, researching and adopting the newest tools and techniques, and providing a robust support and maintenance ‘back-end’ team that allows their ‘quant’ team to focus solely on research and analysis.

They are looking for candidates with experience in Machine Learning, and perhaps related technologies, as they expand their teams to keep up with demand. Successful candidates will enjoy a standout remuneration package with plenty of perks and benefits, working in a friendly but ambitious team.

Your CV will need to show:

  • a stellar academic profile, with a Master’s (more usually a PhD) degree in machine learning from a top-ranking university – related numerate subjects may be considered, top A-levels are a must;
  • an excellent understanding of the theories of Machine Learning, coupled with practical experience implementing these methods to real-world problems;
  • an intuitive knowledge of the underlying mathematics behind ML theories – you’ll be working with large and noisy data sets, so understanding where things can go wrong is crucial;
  • a deep familiarity with specific aspects of ML, such as neural networks, Bayesian methods, approximate inference, etc. – there is no set list, but you can’t just be a generalist.

On top of this, any experience with either OO or functional programming, and relevant hobby interests would be of interest. You may be a regular contributor to data science competitions or have played around with personal ML projects – the more evidence you show of a passion for Machine Learning, the more your application will stand out.

Based in Central London, this company is near to multiple train stations and tube lines, making commuting in from most locations easy. With relaxed working hours, an informal dress code, and freedom to explore and research your own interests to come up with possible leads, this is a unique opportunity that only the best will be able to contribute to. Think you’re one of these individuals? Send in your CV now!

Keywords: machine learning, ML, quant, finance, Bayesian, neural network, London, PhD

Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.