Data Scientist

Key Skills

Apache Hadoop, Clustering, Data science techniques, Dataiku, Finance, Machine learning techniques, Natural Language Processing (NLP), Optimization, Python Programming, R Programming, Random forests, SQL, Tableau, XGBoost

Job Description

We are looking for Associate Director Data Scientist to:

• work with stakeholders to identify opportunities to leverage data analytics and machine learning to support Wealth Management business
• analyze 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
• 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

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/remote 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, China, and Switzerland. 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.

Your expertise

• master's degree or PhD in Data Science, Machine Learning, Statistics, or related STEM fields

• 3+ years of relevant or equivalent experience, experience in finance industry is a plus
• knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc
• good understanding of mathematical underpinning and their real-world advantages/drawbacks
• hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights
• hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc
• hands-on experience deploying analytical models to solve business problems
• ability to develop experimental and analytical plans for data modeling processes and A/B testing
• experience with Tableau will be an asset

*LI-UBS

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.