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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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2026 Off-cycle Internship – GWM Modelling & Analytics Portfolio Data

UBS
Found 2 months ago
Location
Zürich, Switzerland
Duration (Months)
9 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
paid internship
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python programming
  • VisualStudio Code
  • Gitlab version control
  • test automation
  • pytest
  • SQL
  • Databricks
  • Azure Data Lake
  • semantic data models
  • knowledge graphs
  • RDF
  • RDFS
  • SHACL
  • JSON-LD

Soft Skills

  • hard-working
  • trustworthy
  • dedicated
  • collaborative
  • strategic thinker
  • strong communication skills
  • curious

Job Description

Interested in working in finance, specifically as a wealth management professional serving clients, but not sure where to start? Do you want to work for a firm with a truly global footprint that consistently ranks among the world's top financial institutions? We're looking for ambitious students to join our 2026 Off-cycle Internship Program within our Global Wealth Management business. You’ll get to: • straddle the line between technology expertise and understanding the positions/transaction data domain • support the evolution of data contracts, writing converters converting data from local core banking systems into the agreed data contracts • support our software development activities (testing/test automation) • collaborate with different teams on strategic projects with a goal of improving our client experience and driving engagement • build an understanding of our industry, culture, and strategy, while learning about how we operate to effectively meet the needs of our clients • develop professionally by establishing a network of mentors and business contacts we believe are some of the best in the business • attend educational events led by senior leaders that provide extensive exposure and insight into the business

Requirements

  • completed at least 4 semesters of a bachelor's degree
  • graduated no longer than six months ago (bachelor's or master's degree)
  • excellent English (written and oral)
  • willing to learn about financial instruments, transactions, positions, banking relationships, portfolios, etc. and is keen to analyze such data with a keen attention to detail
  • willing to learn about concepts like Data Products, Data Mesh and would like to help implement them
  • understanding of Python programming (class-based and function-based) and the tools involved in writing software (VisualStudio Code, Gitlab version control, test automation with tools like pytest)
  • willing to learn about semantic data models & knowledge graphs (RDF, RDFS, SHACL, JSON-LD)
  • willing to learn about developing data processing pipelines on large-scale data platforms like Databricks/Azure Data Lake
  • Basic understanding of SQL and how to interact with relational databases
  • values that align with ours: hard-working, trustworthy, dedicated and collaborative
  • strategic thinker with strong communication skills
  • motivated to work in a business with high demands and tight deadlines

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Analysis

Languages

  • English

Nice to Haves

  • fluency in German
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