Job Description

Business DivisionsGroup FunctionsYour roleDo you have working knowledge of Spark/Scala? Do you have experience in Azure?

• support innovation initiatives by developing and deploying technical skills related to data automation.
• develop and drive a collaborative relationship with our Group Technology partners
• utilizing best in class digital technologies to drive automation and innovation
• analyse and test incremental development
• manage migration to new business processes

Function CategoryFinanceJoin usAt 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?Your teamYou\'ll be working in the PnL and Valuations Crew. We have c.130 staff across 13 pods, across the UK (London) and India.
The Crew supports the Product and Valuation Control teams to adopt more efficient and effective processes. One of the key priorities is to disconnect from legacy technologies and onboard the Controllers to new strategic platforms.
As a Product Manager, you\'ll play an important role in the successful implementation of new strategic front-to-back architecture.Your expertise

• the candidate should preferably have a degree in computing or Engineering
• proficient in Python and SQL
• experience on Predictive Modelling using advanced mathematics and statistics, Segmentation & clustering, Time series analysis on financial market data
• experience with algorithms for Rule/pattern mining, Text mining, Anomaly Detection, Machine learning and AI with their implementation using standard API\'s and computational packages such as TensorFlow, PyTorch, Scikit-Learn, NumPy, SciPy, Pandas, Spark ML etc.
• good to have experience with Azure and equivalent cloud technologies with some experience in implementing machine learning models on Azure environment using Azure AI/ML, Azure Data Bricks etc
• good to have working knowledge of Spark/Scala

About usUBS 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 hireAt 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?

UBS