Data Analyst
@ UBS

London, England, United Kingdom
$120,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXX******* @ubs.com
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Job Details

About the Data Analyst Role at UBS

Do you want to apply your expertise in software engineering to propel hypothesis-driven empirical research? As a Data Analyst at UBS, you will join a diverse and globally distributed team to design and implement analytical tools for sell-side equity research.

Your Role

  • Design and implement analytical tools for enterprise statistical computing.
  • Develop a shared ecosystem enabling reproducible, scalable, and collaborative data analysis workflows.
  • Drive development of LLM-powered tools and Agentic AI workflows.
  • Build and maintain applications that facilitate dynamic, real-time collaboration.
  • Provide one-on-one coaching and lead workshops for investment professionals.
  • Collaborate with cross-functional teams to integrate research workflows with enterprise systems.

Your Expertise

  • Proven experience with software development principles applied to empirical research workflows.
  • Strong track record in developing applications using Python and object-oriented programming.
  • Solid foundation in statistical modelling, causal inference, or machine learning.
  • Formal training in empirical methods or equivalent professional experience.
  • Hands-on experience with designing or deploying LLM-based systems is a major plus.

About UBS

UBS is the world’s largest and only truly global wealth manager, with a presence in over 50 countries. Join a team that values diversity, global collaboration, and innovation in sell-side equity research.

Key Skills/Competency

  • Data Analysis
  • Python
  • Statistical Modeling
  • Machine Learning
  • Empirical Research
  • LLM Systems
  • Software Engineering
  • Collaboration
  • Workshops
  • Real-time Data
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How to Get Hired at UBS

🎯 Tips for Getting Hired

  • Research UBS culture: Study mission, values, and recent news on Glassdoor.
  • Customize your resume: Tailor experience to data analysis and software projects.
  • Highlight technical skills: Emphasize Python and statistical background.
  • Prepare for interviews: Practice real-world problem solving scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice statistical model exercises.
Test object-oriented programming tasks.
Study LLM system deployment basics.

Behavioral Questions

Describe a team conflict resolution experience.
Explain handling project deadlines under pressure.
Share initiative in cross-team collaboration.
Discuss adapting to new technologies quickly.

Frequently Asked Questions