UBS Financial Services AI/Machine Learning Quantitative Researcher - Global Equities in London, United Kingdom

Your role:

Are you a talented, data engineer that wants to get closer to the business? Are you passionate about data and how it can be used in investing? If so, we need people like you to help us:

• Build solutions to collect, enrich and automate data for use in customer experience enhancement, and alpha generation

• Research and deploy novel AI/Machine learning approaches

• Develop reporting and data visualization solutions, as well as looking to build out a dynamic platform

What we offer:

Together. That’s how we do things. We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance.

Take the next step:

Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. 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.

Your team:

A brand new group based around Big Data and Artificial Intelligence, looking at what is available when you take an un-siloed approach to information from the trading floor. We thrive on innovation and work as a start-up within a well-established and well-funded investment bank. We will eventually specialize in various analytical techniques which could include web harvesting, geospatial, social media, market research, and data science, but will start with the proprietary information which is already contained within the bank. You will be joining a team of ex-traders, quants and programmers that are helping to scale and build the business. The team partners with different teams across the Equities Trading floor, and with clients, to develop innovative data pipeline solutions and expand the department into new areas. We will have both a clear revenue, and a clear cost saving monetary attribution

Your experience and skills:

You have:

• Bachelor’s degree in STEM or finance related disciplines

• Experience in AI/Machine learning modelling approaches

• Excellent project management skills and ability to prioritize issues

• Excellent oral and written communication, organizational and customer service skills

• Strong analytical and problem solving skills (data analysis and requirement documentation)

• Outstanding data skills (Excel, SQL, Data Visualization)

• Experience with working in Hadoop and distributed computing frameworks is a plus

• Prior experience of working within Investment Banking or Hedge Fund industries is a plus

You are:

• ready to join a fast growing team in a dynamic and challenging environment

• relentless in pursuing new ideas and self-improvement

• Ability to self-manage and prioritize workload

• full of energy and able to persevere through technical issues

• a team player willing to learn / share solutions and best practices from your colleagues

• performance and detail-oriented

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 almost 900 offices and more than 50 countries. Do you want to be one of us?

Job Reference #: 158649BR

Business Divisions: Investment Bank

Title: AI/Machine Learning Quantitative Researcher - Global Equities

City: London

Job Type: Full Time

Country / State: United Kingdom

Function Category: Quantitative Analysis