UBS Data Analyst Job Openings 2025 – Apply Soon!

Qualifications

• A university degree, ideally in – Business Mgmt. / Finance / Information Technology
• Solid knowledge of benchmarks, indices and asset classes, financial instruments.
• Solid experience with reconciliation, root cause analysis, complex troubleshooting and document findings.
• Proficiency in data manipulation, analysis tools (Excel/VBA/Macro, SQL) and ETL tool (Alteryx).
• Strong communication skills (English) both verbal and written. Able to explain technical and non-technical topics to stakeholders.
• Working knowledge of leading market data platforms (e.g., Rime, Bloomberg, ICE, Refinitiv).
• Basic knowledge of scripting (Python, Shell) to aid in automation.
• Nice to have – experience with tools such as: PowerBI, SimCorp Dimension Platform, Power Automate and other Power Apps.
• Nice to have – familiarity with index licensing, vendor management.

You are:

• intellectually curious, accountable, and data-driven
• a self-starter with the ability to work with minimal supervision as part of a team.
• an individual who possesses a positive, action-oriented attitude and initiative taker
• able to challenge the status quo and suggest viable and actionable alternative approaches.

Your Roles & Responsibilities

Are you curious about how financial instruments, benchmarks and indices are used within the Asset Management lifecycle? Are you organized and have an eye for detail? Are you motivated by analytical challenges? We’re looking for someone who can:

• Support daily and periodic index calculations, validation and distribution tasks including benchmark setup, maintenance, reconciliation, and deactivation within agreed Service Level Agreements (SLAs) throughout its lifecycle.
• Respond to internal requests to clarify, verify, reconcile, and control security, index, benchmark, and performance data ensuring completeness, accuracy, and timeliness.
• Control, analyze, calculate, and maintain systems/databases to ensure the accuracy and integrity of static and time series data across applications.
• Follow, document, and review standard operating procedures, to ensure its fit for purpose.
• Conduct comprehensive business analysis and define requirements for data management processes and system workflows.
• Engage in User Acceptance Testing (UAT) and oversee Production releases, collaborating with data vendors, operations teams, and stakeholders to resolve data issues and ensure adherence to (SLAs).