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Fintech Apprentice

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Onsite

Fintech Apprentice

UBS

Fintech Apprentice

Skills

SQL QueriesPythonJavaC#RLinux

1 month ago

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Important information


Contract type:

Permanent

Location:

Shanghai, China

Work mode:

Onsite

Published on:

14 September 2026

What they need


Job Type Full Time

Job Reference # 343574BR

City Shanghai

Key Responsibilities We are looking for someone who can

  • Participate in the pricing and risk analysis of various portfolios. The analysis reports are basis for making trading or hedging decisions on the portfolio.
  • Develop light spreadsheet tools to help traders analyze and monitor their trading exposures.
  • Develop marking tools using market information using Python.
  • Develop library for the bank pricing and booking systems.
  • Develop, generate and validate regular analytic reports for the trading desks.
  • Documentation of theory and implementation (Latex)
  • Provide test and control framework for front to back operational testing / recoverability
  • Participate in technology design discussions for scalability and performance
  • Provide support/tools for explaining P&L, Risk and OTC products pricing.

The team The Shanghai Quantitative Analytics Group of UBS is an entrepreneurial, cross-asset team focusing on building the market-leading analytics across all asset classes and provides comprehensive quantitative analysis support to all business units throughout the Investment Bank in all regions. In collaboration with trading, the team also takes advantage of the fast growing FinTech trend. It was established in 2006 and located in Lu Jia Zui Financial Town of Shanghai Pudong. It has a stable team of quantitative analysts and developers with a diverse academic background (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics and Financial Engineering).

Your Skills And Experience

  • Graduate between Sep 2027 and Jul 2028. Minimum bachelor's degree from a top tier university, preferably in Science or Finance disciplines (e.g. Computer Science, Mathematics, Statistics, Quantitative Economics or Financial Engineering).
  • Strong analytical abilities and sound logic is required.
  • Familiar with Python, or other object oriented computer languages: C++ , C#, Java. Proficiency in Excel VBA is a plus.
  • Mastering a statistical program language such as R statistic package is a plus
  • SQL databases, KDB and Linux is a plus
  • Good sense with numbers, fast-learning and detail oriented.
  • Fluent in both written and spoken English. Minimum CET 6 or equivalent.
  • Good team spirits with excellent communication skills.

About Us UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Contact Details UBS Business Solutions SA

UBS Recruiting

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.

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