Poland
Digital, Product Management and Development
Global Wealth Management
Job Reference #
321366BR
City
Kraków, Warsaw, Wroclaw
Job Type
Full Time
Your role
Are you passionate about directly impacting the largest wealth management business in the world by utilizing analytical and machine learning skills?
Do you want to play a key role in mining large datasets, build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems?
Do you have hands-on experience with LLM models?
We are looking for the Data Scientist to:
If you are a skilled Data Scientist with a passion for innovation and business growth, we encourage you to apply for this opportunity.
Do you want to play a key role in mining large datasets, build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems?
Do you have hands-on experience with LLM models?
We are looking for the Data Scientist to:
- Collaborate with stakeholders to identify opportunities to leverage data analytics and machine learning to support Wealth Management business,
- Analyse and explain financial data from various sources to provide actionable insights for Financial Advisors and their Clients,
- Build and deploy machine learning and statistical methods to optimize the business process and help with targeted marketing and sales efforts for financial products,
- Leverage LLM models to bring business and data science even closer together,
- Develop processes and tools to monitor and analyze model performance and data accuracy,
- Produce relevant documentation related to model performance, model review and model governance,
- Independently manage projects,
- Work 10:00 am - 6:00 pm CET.
If you are a skilled Data Scientist with a passion for innovation and business growth, we encourage you to apply for this opportunity.
Your team
You will be part of the Data Science team in Smart Technologies and Advanced Analytics Team (STAAT), WMA in our Krakow location, Fabryczna Office Park. We are open to hybrid work schedule. Our Data Science team is at the heart of STAAT’s function to manage and support data science efforts across different business areas. Our team is global based in US, Poland, and China. At the heart of this project is the ability to systematically analyze and build statistical and machine learning models with a goal for the Wealth Management business to make optimal decisions.
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
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 or PhD in Data Science, Machine Learning, Statistics, or a related STEM field,
- 3+ years of relevant experience, with a preference for candidates with finance industry experience,
- Hands-on experience with Large Language Models (LLM) and machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XGBoost, and natural language processing,
- Strong understanding of mathematical underpinnings and their real-world applications and limitations,
- Proficiency in programming languages (Python, R, SQL, etc.) for data manipulation, model development, and insights derivation,
- Familiarity with industry-standard database and analytical technologies (Greenplum, Dataiku, Hadoop, etc.),
- Experience deploying analytical models to solve business problems,
- Ability to design experimental and analytical plans for data modeling processes and A/B testing,
- Availability to work 10:00 am – 6:00 pm CET.
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.
We have a presence in all major financial centers in more than 50 countries.
How we hire
We may request you to complete one or more assessments during the application process. Learn more
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. 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.
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
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.
Report misconduct: If you are made aware of any of our employees or individuals acting on behalf of UBS engaging in acts of misconduct under the Poland Whistleblowing Act, you may report your concerns through Poland-Whistleblowing@ubs.com
Report misconduct: If you are made aware of any of our employees or individuals acting on behalf of UBS engaging in acts of misconduct under the Poland Whistleblowing Act, you may report your concerns through Poland-Whistleblowing@ubs.com