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Casualens
,
London, Greater London
Quantitative Analyst
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Job Type: Full-time |
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Salary: £30,000 per annum |
Overview
causaLens, an award-winning deeptech startup based in London with multimillion funding in place, has an exciting opportunity for a motivated and high-achieving Quantitative Analyst to join the team. As our Quantitative Analyst, you will be working on automated machine learning for time series. This is a full-time placement with significant opportunities for personal development. This is an exciting role for a smart, creative person to build sophisticated predictive models on time-series data using the causaLens platform. Requirements: Experience building predictive models Highly capable, self-motivated, collaborative and personable Strong academic record (MSc/MEng, but PhD & PostDoc preferred) Ability to translate advanced machine learning algorithms into code (Python preferred) 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) About the Company: Our vision is to optimise the global economy. We develop autonomous predictive technology for complex and dynamic systems, leading causality and time-series research. Our technology helps large organisations optimise business outcomes at scale. causaLens has been awarded as the Best Deeptech Company and Best Deeptech Investment of 2019 and has won other prestigious awards in the AI industry. Team achievements in AI are regularly cited in the most widely recognised business and tech news sources (Forbes, Yahoo Finance etc.), naming causaLens as one of the currently most exciting startup companies in the AI industry. causaLens is well supported by the most prominent deeptech investors, that invest primarily in the companies that develop their own Intellectual Property to build their products. We have secured multimillion funding in the course of the last few years. What’s on offer: 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 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 Sounds interesting? Click the APPLY button now. Please include your cover letter in the same document as your CV. The interview process consists of an intelligence test, interview and an on-site visit. Candidates with previous experience or job titles including; Quantitative Analyst, QA, , may also be considered for this role.