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Your role

We are seeking a highly skilled and detail-oriented individual to join our team as a Data Science Model Document Control Specialist.

In this role, you will be responsible for managing the documentation process of data science models and coordinating efforts related to model risk control.

Scope of responsibilities:

1. Model Documentation:

  • develop and maintain comprehensive documentation for data science models, including methodologies, algorithms, and model validation procedures;
  • collaborate with data scientists and other stakeholders to gather necessary information for documentation.

2. Model Risk Control Coordination:

  • work closely with cross-functional teams to ensure compliance with model risk control policies and procedures;
  • implement and enhance processes for monitoring and mitigating risks associated with data science models.

3. Quality Assurance:

  • conduct regular audits of model documentation to ensure accuracy, completeness, and adherence to industry standards;
  • identify and address any gaps or issues in model documentation and risk control processes.

4. Communication:

  • effectively communicate model documentation requirements and risk control measures to relevant teams and stakeholders;
  • provide training and support to teams involved in the model development lifecycle.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Your team

You will be part of the Data Science team in Data, Analytics and Foundational Platforms (DAFP), WMA. Our Data Science team is at the heart of DAFP’s function to manage and support data science efforts across different business areas. Our team is global based in US, Poland, China, and Switzerland.

Your expertise

  • Bachelor’s or advanced degree in Data Science, Statistics, Computer Science, or related field;
  • proven experience in data science model documentation and risk control coordination;
  • experience with data science tools and programming languages (e.g., Python, R);
  • knowledge of best practices in model documentation and validation;
  • strong analytical and problem-solving skills;
  • excellent communication and collaboration abilities;
  • familiarity with regulatory requirements related to model risk management;
  • fluent knowledge of English.

About us

UBS is the world’s largest and the 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..

We have a presence in all major financial centers in more than 50 countries.

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 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.

Data Science Model Product Manager | UBS - Experienced professionals - job boards

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Confirmed 18 hours ago. Posted 19 days ago.

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