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Bayesian Data Scientist QED

  • Salary Type: Per Annum
  • Salary: £39,518

Description

Job Reference # 216203BR City London Job Type Full Time Your role Do you love to use data to make decisions? Are you excited by the prospect of using Bayesian methods to make business decisions? We are looking for an entrepreneurial self-starter to join UBS Asset Management's Quantitative Evidence and Data Science (QED) Team in Europe or the US. This is a unique opportunity to shape the future of investing and scale our team's success into our client base.
Your main goal as a Data Scientist is to build great models that can be used in scalable investment decision workflows. Specifically you will:
• work with other technical specialists to build ETL and model pipelines
• build scalable model libraries customized to investment use cases
• work with the QED analysts to build solutions to Investment questions that span the entire data science workflow (ETL, Modeling, Visualization)
• provide model expertise and advice to teamwide modeling activities Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. Your team You will be working in the Quantitative Evidence and Data Science (QED) team based out of the US or UK. The team operates within UBS Asset Management division. Reporting into the divisional Head of Investments, we work with investment teams globally across all asset classes to leverage data and data science in the investment process in order to create better outcomes for our clients. Our diverse team composition, which combines investment, client-facing and data science skills, has allowed us to rapidly drive the adoption of data science in the investment process. Your expertise You are
• knowledgeable in SQL and PySpark is a plus
• focused and eager for learning and self-improvement
• open for career comeback applicants with flexible work schedules to accommodate family and cultural commitments
• open for remote work in European or US Time Zones
You have
• ideally 2+ years experience in a data related role
• track record of building decision pipelines using data science and statistics
• innovative and entrepreneurial spirit
• experience using Bayesian Inference:
o to inform decision making
o to build Cross-Sectional and Time Series models
o in the context of Natural Language Processing or Generation
• extensive Python experience in the Pydata stack: Pandas, Numpy, Matplotlib
• expertise in Bayesian and Probabilistic Programming librairies: Stan, PyMC3, Arviz, FBProphet
• PhD or Masters in applied technical field with experience using Bayesian Statistics in that field
*LI-GB Your colleagues About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.
We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us? Join us We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
  • Country / State: United Kingdom
  • Function Category: Research
  • Business Divisions: Asset Management
  • Salary: £39,518
  • Salary Type: Per Annum

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London, England, London, SE11, United Kingdom

  • Ad ID:  15252937
  • Ad Type:  Offered
  • Posted on:  12/08/2020, 02:51
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