Data Scientist

Poland

Quantitative Analysis

Asset Management

Job Reference #

257021BR

City

Kraków

Job Type

Full Time

Your role

Do you love to use data to make decisions? Are you excited by the prospect of using science to help make better investments for clients and for the planet? We are looking for an innovative and entrepreneurial self-starter to join UBS Asset Management's Quantitative Evidence and Data Science (QED) Team in Poland. This is a unique opportunity to shape the future of investing and scale our team's success within the investment function.
Your main goal as a Data Scientist is to build great models that can be used in scalable investment decision workflows. Specifically you will:
• work with other technical specialists to build ETL and model pipelines
• build scalable model libraries customized to investment use cases
• work with the QED analysts to build solutions to Investment questions that span the entire data science workflow (ETL, Modeling, Visualization)
• provide model expertise and advice to teamwide modeling activities

Your team

You will become a member of the Quantitative Evidence and Data Science (QED) team operating within UBS Asset Management’s Investments function. The team reports into the divisional Head of Investments, we work with investment teams globally across all asset classes to leverage data and data science in the investment process in order to achieve better outcomes for our clients. Our diverse team composition, which combines investment, client-facing and data science skills, has allowed us to rapidly drive the adoption of data science in the investment process.

Your expertise

• Innovative and Entrepreneurial Spirit
• Focus and hunger for learning and self-improvement
• Track record of building decision pipelines using data science and statistics
• Evidence of emotional intelligence and empathy in complex situations
• Extensive Python experience in the Pydata stack: Pandas, Numpy, Matplotlib
• Experience creating visualizations and dashboards in Streamlit, Tableau, Power BI or Dash
• Knowledge of SQL and PySpark is a plus
• Expertise in Machine Learning libraries in Python is a plus: Scipy, Scikit-learn, TensorFlow
• Expertise in Bayesian and Probabilistic Programming librairies is a plus: Stan, PyMC3, Arviz, FBProphet
• Basic financial and investing knowledge is a plus but not required
• Open for career comeback applicants with flexible work schedules to accommodate family and cultural commitments
• Located in Krakow, Poland

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?

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.