Quantitative Analyst

Job description


We are looking for a motivated and high-achieving Quantitative Analyst based in London to join 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 wins 'Best Investment in Deeptech'. The scaling round was led by a top deep tech investor (see recent press FT, TechCrunch)

 - causaLens in the 100 most disruptive UK companies

 - causaLens in the Forbes 'Top 15 Machine Learning Companies to watch in Europe'

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 successful candidate will have:

  • The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference

  • Access to guidance, mentorship, and opportunities for turbo-charged professional development

  • Competitive salary

  • An employee share option scheme

  • A pension scheme

  • 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 and book budget

  • Conference budget

  • Opportunity to publish work and patents

  • Work-from-home days

  • Cycle to work scheme

  • Regular team outings, pizza Thursdays and annual company retreats

  • Fruits, snacks and drinks in the office

  • Amazing, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm. We are an international team passionate about innovation and making a difference 

Hiring Steps

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

Job requirements

Core requirements: 

● 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)