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14 Jan 2020

Full-timeQuantitative Analyst

causaLens – Posted by Apostolos Lymperis London, Greater London, England, United Kingdom

Job Description

We are looking for a motivated and high-achieving quantitative analyst based in London to join one the team working on our exciting machine learning product. This is a full-time placement with significant opportunities for personal development.
We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.

The Company

We are on a mission to develop a machine that predicts the global economy in real-time. Our technology helps organisations plan and optimise business outcomes, thus improving efficiency and protecting the environment.

causaLens in the News

  • “Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies” – Yahoo Finance [Link]
  • causaLens in “The U.K.’s Most Exciting AI Startups Race To Scale” [Link]
  • causaLens’ Auto ML Platform Draws Interest from Discretionary Funds [Link]
  • causaLens wins the “Best Investment in Deeptech” award by the UK Business Angels Association awards [Link]
  • causaLens in the 100 most disruptive UK companies [Link]
  • Financial Times – ‘AllianzGI taps virtual data scientists amid war for talent’ [Link]
  • Forbes – ‘Machine Learning Companies to watch in Europe’ [Link]
    causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board [Link]

Roles and Responsibilities

This is an exciting role for a smart, creative person to build sophisticated predictive models on time-series data using the causaLens platform.


 The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
 An employee share option scheme
 Competitive salary
 32 days paid holiday allowance (incl. bank holidays)
 Equipment you need to get the job done (MacBook Pro etc.)
 Opportunities for continued learning and self-development, including courses, conferences and book budget
 Flexible work-from-home and remote days
 Cycle to work scheme
 Weekly journal club and knowledge sharing presentations
 Regular team outings, pizza Thursdays and annual company retreats
 Fruits, snacks and soft drinks in the office
 Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm.


Our interview process consists of an intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.


 Experience building predictive models
 Highly capable, self-motivated, collaborative and personable
 Strong academic record
 Interest in advanced technologies such as machine learning
 Ability to demonstrate integrity and drive
 Naturally curious and effective problem solver
 An excellent written and verbal communicator with a high level of business acumen
 Ability to effectively work independently and remotely (from home or coworking space).

How to Apply

Please send your CV and cover letter to or

Job Categories: Technology. Job Types: Full-time. Salaries: Competitive.

Job expires in 280 days.

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