Python Job: AI Developer

Job added on

Company

UBS

Location

Zürich - Switzerland

Job type

Full-Time

Python Job Details

Switzerland - Zürich
Compliance
Group Functions

Job Reference #

261893BR

City

Zürich

Job Type

Full Time

Your role

Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background?

We're looking for a model developer who will:

  • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks
  • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures
  • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements.
  • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders.
  • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure

Your team

Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.

Diversity helps us grow together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

  • master's degree in Computer Science, Physics, Statistics or Mathematics
  • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain
  • fluent in Python (alternatively R) with strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques
  • front-end prototyping experience in R Shiny or JS React advantageous
  • understanding of model risk management processes
  • basic understanding of IT and software engineering principles
  • good communication, writing & presentation skills
  • fluency in English required, other languages (e.g. German) advantageous

About us

UBS is the world’s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

How we hire

This role requires an assessment on application. Learn more about how we hire: www.ubs.com/global/en/careers/experienced-professionals.html

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

Contact Details

UBS Recruiting Switzerland and Italy

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.