Front-Office Trading AI Engineer

UBS AG

Hong Kong

Sur place

HKD 941 000 - 1 359 000

Plein temps

Il y a 9 jours

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Résumé du poste

UBS in London is seeking a Trading AI Developer to design, build, and deploy production AI solutions for the front-office trading desk. You will work on quantitative models, analytics, and AI-powered systems in collaboration with Trading, Structuring, and Sales across regions.

The role emphasizes production-grade Python development, strong analytical and architectural skills, and close collaboration with global front-office partners.

Qualifications

  • Ambitious and intellectually curious; combine technical experience with practical problem solving.
  • Proficient in Python with production changes to large complex systems.
  • Able to communicate ideas clearly and build relationships globally within the front office.
  • Strong analytical, problem-solving, and architectural design skills for a front-office environment.
  • Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or related STEM field.

Responsabilités

  • Participate in design, development, and implementation of quantitative models and analytics across Global Markets.
  • Design and implement the next generation of AI-powered systems with Trading, Structuring and Sales from idea to production.
  • Build and maintain relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners globally.

Connaissances

Python
Communication
Front-office collaboration
Analytical thinking
System architecture
Quantitative Finance background

Formation

Quant/ STEM background

Description du poste

UBS in London is seeking a Trading AI Developer to design, build, and deploy production AI solutions for the front-office trading desk. You will work on quantitative models, analytics, and AI-powered systems in collaboration with Trading, Structuring, and Sales across regions.

The role emphasizes production-grade Python development, strong analytical and architectural skills, and close collaboration with global front-office partners.

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