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CausaLens
,
London, Greater London
Quantitative Analyst
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Job Type: Full-time |
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Contract Type: Permanent |
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Salary: 30000 - 70000 per annum |
Overview
Summary 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 causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on infocausaLens.com . Follow us on LinkedIn and Twitter . causaLens in the News Best Deeptech Company 2019 - Artificial Intelligence Awards ‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies ’ – Yahoo Finance ‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes ‘Auto ML Platform Draws Interest from Discretionary Funds’ - machineByte ‘ AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times ‘Machine Learning Companies to watch in Europe’ - Forbes ‘ Best Investment in Deeptech ’ award - UK Business Angels Association awards ‘100 Most Disruptive UK Companies’ - Hotwire ‘causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire 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. Benefits The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference Competitive remuneration Share option scheme Pension scheme 32 days paid holiday allowance (incl. bank holidays) Equipment you need to get the job done (MacBook Pro etc.) Good work-life balance 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 Logistics 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. 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)