is hiring for the role of Data Science Analyst in Bengaluru, India (Hybrid). This role sits inside Citi’s analytics and risk teams, where data is used to drive financial decisions, detect risks, and improve business performance across global banking systems.
Job Overview
- Company: Citi
- Position: Data Science Analyst
- Qualification: Bachelor’s / Master’s Degree
- Experience: Freshers / Experienced
- Location: Bengaluru, India (Hybrid)
- Job Type: Full-Time
- Domain: Data Science / Analytics / Financial Modeling
What This Role Is Really About
This is not a pure “model-building only” data science role. It combines:
- Data analysis
- Statistical modeling
- Business understanding
You will be working on financial datasets, where your analysis contributes to:
- Risk management
- Fraud detection
- Business insights
The focus is on turning data into decisions that impact banking operations.
How Your Work Fits Into Citi Systems
You will work within teams that handle:
- Risk analytics
- Customer data analysis
- Financial behavior modeling
Your work helps teams answer questions like:
- Which transactions look suspicious?
- What patterns indicate risk?
- How can business performance improve?
Core Responsibilities
- Analyze large financial datasets
- Build and apply statistical or machine learning models
- Identify trends, risks, and patterns
- Support decision-making with data insights
- Collaborate with business and technical teams
- Maintain data accuracy and model performance
What You’ll Actually Be Doing
Your daily work typically involves:
- Extracting and preparing data
- Running analysis using statistical methods
- Building or improving models
- Interpreting results
- Presenting insights to stakeholders
A big part of your role is not just building models, but explaining what the results mean in a business context.
Working With Financial Data
The datasets you handle are:
- Large and complex
- Sensitive and regulated
- Directly tied to business outcomes
This means your work must be:
- Accurate
- Logical
- Clearly documented
Technical Skills Expected
- Strong knowledge of Python / R
- Understanding of statistics and probability
- Experience with machine learning concepts
- Knowledge of SQL for data extraction
- Familiarity with data analysis libraries
You are expected to:
- Work with data independently
- Build models when required
- Interpret results correctly
Analytical Thinking Required
This role requires you to constantly ask:
- What does the data indicate?
- Why is this pattern occurring?
- What action should be taken?
It’s a mix of technical analysis and business reasoning.
Work Environment & Structure
Citi operates in a structured, compliance-driven environment, especially in analytics roles.
You will experience:
- Defined workflows
- Data governance and regulations
- Collaboration with global teams
- Hybrid work setup
The work is organized and detail-focused.
A Realistic Day in This Role
- Work on a dataset or analysis request
- Clean and prepare data
- Run models or statistical analysis
- Identify insights or anomalies
- Share findings with team members
- Improve models or reports
Your day is a mix of technical work and interpretation.
What Makes This Role Different
You are not just building dashboards or simple reports.
You are:
- Working on financial data with real impact
- Supporting risk and decision-making systems
- Combining data science with business logic
Who This Role Is Best For
- Someone strong in data and statistics
- Someone who enjoys analyzing patterns
- Someone interested in fintech or banking
- Someone comfortable with structured environments
Growth You Can Expect
- Move into Senior Data Scientist roles
- Transition into Risk or Quantitative Analyst roles
- Work on advanced machine learning systems
- Build expertise in financial analytics
Why This Role Is Valuable
- Exposure to real financial datasets
- Strong foundation in data science and analytics
- Opportunity to work in global banking environment
- High demand skill set (data + finance)
Long-Term Value of This Experience
Working at Citi helps you:
- Understand how data drives financial decisions
- Gain experience with regulated systems
- Build strong analytical and modeling skills
This opens opportunities in:
- FinTech companies
- Data science roles
- Risk and analytics domains
How to Apply
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