Quantitative Analyst at causaLens

London, Remote · Full Time
Our vision is to build a machine that predicts the global economy in real-time. Read More
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Job Description


We are looking for a motivated and high-achieving Quantitative Analyst based anywhere in our London Office to join the team working on Automated Machine Learning for time-series. This is a full time placement with significant opportunities for growth and advancement as one of the first employees of the company.
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The Company

causaLens is a deep-tech startup based in London. We are building a machine that predicts the global economy in real-time utilizing Automated Machine Learning for time-series.
Customers include some of the most prominent hedge funds, banks, technology companies and research institutions in the world.
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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

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.


Successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship, and opportunities for professional development.

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What We're Building

A machine that predicts the global economy in real-time.

Other Jobs at causaLens

causaLens Team

Darko Matovski
Co-founder and CEO @causaLens
Maksim Sipos
Experienced full-stack developer and data scientist. Excited to work on interesting, important problems.
Apostolos Lymperis
Meng Electrical And Computer Engineering, Research Analyst, Business Development.

causaLens Investors

Patrick Hable
Entrepreneur and investor.