Key responsibilities
Are you passionate about data analytics and enjoy being a brand ambassador for high-quality cross-referenced data? Do you thrive in complex setups and have a keen attention to detail? Are you a firm believer in teamwork with the ability to motivate and innovate? Do you excel in fostering collaboration with diverse teams and stakeholders to achieve impactful outcomes? If so, this role is for you.We're looking for a Data Steward to help us:
• Execute daily client static data production and maintenance in line with SLAs and controls
• Investigate cross-reference data issues across domains, document root causes, and drive sustainable fixes
• Build and run structured queries using Databricks, SQL, and Python to support data quality remediation
• Support product vision with input to new processes, governance, controls, and implementation
• Maintain audit trails, create and update SOPs, and execute data controls, checks, and reporting
• Continuously improve process robustness and efficiency, embracing AI and building skills in data analysis
The team
Reference Data Services provides critical data services for the business divisions within our organization enabling the divisional teams to provide accurate reporting to market regulators. You will be working in the Service Execution (RTB) Cross Reference team. This team will be responsible to identify and analyze cross reference issues within Reference data domains.Your skills and experience
To succeed in this role, you bring:•Strong Databricks capability, with SQL and Python skills to build structured database queries
• Proven ability to manage data quality issues end-to-end, including investigation, remediation, and root-cause documentation
• A broad data management toolkit spanning information management, data cleaning, data governance, and preservation
• Solid non-financial risk control mindset, including audit trail discipline, SOP creation/maintenance, and control execution
• Ability to influence stakeholders and propose solutions to cross-reference issues across varied data domains
• Hands-on approach to documenting and continuously improving process efficiency and robustness
• Comfort embracing AI in day-to-day work, with a coaching and self-upskilling mindset in data analysis
•You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.We know that great work is never done alone. That is why we place collaboration at the heart of everything we do. Because together, We are more than ourselves. Want to find out more? Visit ubs.com/careers.
How we hire
We may request you to complete one or more assessments during the application process. Learn moreJoin us
At UBS, we know that its our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We are 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. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That is why collaboration is at the heart of everything we do. Because together, We are more than ourselves.We are 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 SAUBS Recruiting