Data Analyst Technical
@ UBS

Pune, Maharashtra, India
$120,000
On Site
Full Time
Posted 21 days ago

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Job Details

About the Role

UBS is seeking a Data Analyst Technical who is curious about financial instruments, benchmarks, and indices used within the Asset Management lifecycle. This role supports daily and periodic index calculations, validation and distribution tasks including benchmark setup, maintenance, reconciliation, and deactivation within agreed SLAs.

Key Responsibilities

  • Perform index calculations and data validations.
  • Manage benchmark setup and system reconciliations.
  • Analyze and control static and time series data.
  • Document standard operating procedures and conduct UAT.
  • Collaborate with data vendors, operations teams, and stakeholders.

Your Team

Working within the Data Services team under the Asset Management Chief Data Office, you will support day-to-day processes, ensuring accurate benchmark, index, and analytics data delivery. The team provides 24x6 coverage with members in Chicago, Zurich, Krakow, Singapore, and Pune.

Your Expertise

  • University degree in Business Mgmt, Finance or IT.
  • Strong knowledge of benchmarks, indices, and asset classes.
  • Proficiency in Excel/VBA/Macro, SQL, and ETL tool (Alteryx).
  • Experience with market data platforms like Rime, Bloomberg, ICE, Refinitiv.
  • Basic scripting skills in Python or Shell.

Additional Qualifications

Experience with PowerBI, SimCorp Dimension, Power Automate or Power Apps is a plus. Candidates should be intellectually curious, accountable, self-starters, and capable of explaining technical topics to various stakeholders.

Key skills/competency

  • Data Analysis
  • Reconciliation
  • SQL
  • ETL
  • Excel
  • Automation
  • Benchmarking
  • Indices
  • UAT
  • Troubleshooting
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How to Get Hired at UBS

🎯 Tips for Getting Hired

  • Research UBS's culture: Study their mission, values, and employee testimonials.
  • Customize your resume: Highlight technical skills in SQL, ETL, and Excel.
  • Prepare for technical assessments: Review data analysis and troubleshooting methods.
  • Practice interview insights: Prepare examples of process improvements and collaboration.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Excel VBA and data manipulation.
Study ETL processes and Alteryx workflows.
Familiarize with market data platforms.

Behavioral Questions

Describe a challenge in data reconciliation.
Explain your approach to process documentation.
Tell a time you collaborated across regions.
Discuss handling unexpected data issues.

Frequently Asked Questions