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Citi Business Analytics Analyst (AML) Hiring 2026 in Bengaluru | Python, SQL & Banking Analytics Opportunity | Placement Officer
💼 Citi Business Analytics Analyst (AML) Recruitment 2026 – Complete Career Guide
📋 Quick Summary
Looking to build a career in Data
Analytics, Financial Crime Prevention, AML (Anti-Money Laundering), Banking
Analytics, SQL, and Python? Here's an exciting opportunity from Citigroup
(Citi).
Citi is hiring Business
Analytics Analyst (AML) professionals for its Bengaluru office. This role
is ideal for candidates with 1-3 years of experience who possess strong
analytical thinking abilities and hands-on knowledge of Python, SQL, Data
Analysis, Banking Operations, and Statistics.
Working at Citi provides exposure
to one of the world's largest banking institutions, offering opportunities to
work on risk management, compliance analytics, AML monitoring, business
intelligence, and data-driven decision-making.
🏢 About Citi
Citigroup is one of the world's
largest multinational banking and financial services organizations, serving
millions of customers across more than 160 countries and jurisdictions.
With over 230,000 employees
worldwide, Citi offers exceptional career opportunities in:
🌍 Banking
📊 Data Analytics
💳 Financial Services
🛡️ Risk & Compliance
🤖 Technology & Digital
Transformation
📈 Business Intelligence
📍 Job Overview
|
Particulars |
Details |
|
Company |
Citi |
|
Position |
Business
Analytics Analyst (AML) |
|
Job Location |
Bengaluru,
Karnataka |
|
Employment
Type |
Full-Time |
|
Work Mode |
Hybrid |
|
Experience
Required |
1 – 3 Years |
|
Department |
Decision
Management |
|
Job Family |
Business
Analysis |
|
Job ID |
26970378 |
🎓 Educational Qualification
Candidates should possess:
✅ B.E./B.Tech
✅ BCA / MCA
✅ B.Sc / M.Sc
✅ B.Com / M.Com
✅ Statistics
✅ Mathematics
✅ Economics
✅ Data Science
✅ Finance
✅ Computer Science
or any equivalent degree with
strong analytical skills.
🎓 Eligible Batches
Based on the required experience
range of 1-3 years, the likely eligible batches are:
Preferred Eligible Batches
✔ 2021 Batch
✔ 2022 Batch
✔ 2023 Batch
✔ 2024 Batch (with relevant
internships or experience)
Candidates with analytics, banking,
risk, compliance, or data-related experience will have an advantage.
💰 Expected Salary
Based on current industry
compensation benchmarks for Business Analytics Analysts in Bengaluru banking
and financial services sector:
|
Experience |
Expected Salary |
|
1 Year |
₹7 LPA – ₹10 LPA |
|
2 Years |
₹9 LPA – ₹13 LPA |
|
3 Years |
₹11 LPA – ₹16 LPA |
Additional Benefits
✅ Annual Performance Bonus
✅ Health Insurance
✅ Hybrid Work Environment
✅ Learning & Development
Programs
✅ Global Career Mobility
✅ Employee Wellness Programs
Salary may vary based on skills,
prior experience, education, and interview performance.
📖 Detailed Job Description
The Business Analytics Analyst
(AML) role is a trainee-level professional position focused on analyzing
business data, supporting AML initiatives, evaluating risks, and assisting in
decision-making processes.
The selected candidate will
contribute to analytical projects, compliance monitoring, and business
intelligence initiatives while working closely with cross-functional teams.
🎯 Key Responsibilities
📊 Analytics & Reporting
·
Analyze
business and operational data.
·
Generate
meaningful insights from datasets.
·
Support
decision-making processes through analytics.
🔍 AML & Risk Management
·
Assist in
Anti-Money Laundering (AML) initiatives.
·
Support
compliance-related projects.
·
Help identify
suspicious trends and patterns.
🐍 Data Analysis
·
Utilize Python
and SQL for data extraction and analysis.
·
Build reports
and dashboards.
·
Perform data
validation and quality checks.
📈 Business Support
·
Assist in
implementing business solutions.
·
Support
strategic initiatives through data-driven recommendations.
·
Collaborate
with internal stakeholders.
⚖ Compliance & Governance
·
Follow
regulatory and compliance requirements.
·
Assess risks
while making business decisions.
·
Support
transparent reporting and governance practices.
🛠 Essential Skills Required
🔹 Technical Skills
Python
·
Data Analysis
·
Pandas
·
NumPy
·
Automation
·
Data
Manipulation
SQL
·
Joins
·
Stored
Procedures
·
Query
Optimization
·
Data
Extraction
·
Database
Management
Statistics
·
Descriptive
Statistics
·
Probability
·
Hypothesis
Testing
·
Data
Interpretation
Data Analytics
·
Reporting
·
Business
Intelligence
·
Data
Visualization
·
Trend Analysis
🔹 Domain Skills
Banking Knowledge
Understanding of:
🏦 Banking Operations
💳 Financial Transactions
📊 Risk Analytics
🛡️ Compliance Processes
🚨 Anti-Money Laundering
(AML)
🔹 Soft Skills
Communication
·
Stakeholder
Management
·
Presentation
Skills
·
Reporting
Skills
Analytical Thinking
·
Problem
Solving
·
Logical
Reasoning
·
Decision
Making
Teamwork
·
Collaboration
·
Cross-functional
Coordination
·
Professional
Communication
🌟 Why This Opportunity is Valuable
🏦 Work with a Global Banking Leader
Gain experience with one of the
world's most respected financial institutions.
📊 Analytics-Focused Career Path
Develop expertise in:
·
Data Analytics
·
AML
·
Compliance
·
Banking
Intelligence
🌍 International Exposure
Work within global teams and
enterprise-level analytics environments.
📈 Long-Term Career Growth
Potential future roles include:
·
Business
Analyst
·
Data Analyst
·
AML Analyst
·
Risk Analyst
·
Decision
Scientist
·
Compliance
Analyst
·
Senior
Analytics Consultant
🔥 Important Topics to Prepare
SQL
✅ Joins
✅ Group By
✅ Window Functions
✅ Subqueries
✅ Aggregations
Python
✅ Pandas
✅ NumPy
✅ Data Cleaning
✅ Data Manipulation
✅ Exploratory Data Analysis
Statistics
✅ Mean, Median, Mode
✅ Correlation
✅ Regression Basics
✅ Probability
✅ Sampling Techniques
AML & Banking
✅ KYC Concepts
✅ AML Monitoring
✅ Financial Crime Prevention
✅ Compliance Frameworks
✅ Transaction Monitoring
📝 Expected Selection Process
Round 1: Resume Screening
Evaluation of:
·
Python Skills
·
SQL Skills
·
Analytics
Projects
Round 2: Online Assessment
Topics:
·
SQL
·
Python
·
Analytics
·
Logical
Reasoning
Round 3: Technical Interview
Questions on:
·
Data Analytics
·
SQL Queries
·
Python Coding
·
Statistics
Round 4: Managerial Interview
Assessment of:
·
Problem
Solving
·
Communication
·
Business
Understanding
Round 5: HR Discussion
·
Compensation
·
Work
Preferences
·
Organizational
Fit
💡 Pro Tips to Get Selected
🚀 Master SQL
Practice advanced SQL queries
daily.
🚀 Build Analytics Projects
Include:
·
Banking
Analytics Dashboards
·
Fraud
Detection Models
·
Customer
Segmentation Projects
🚀 Learn AML Basics
Understand:
·
KYC
·
AML
·
Compliance
·
Risk
Assessment
🚀 Improve Python Skills
Focus on:
·
Pandas
·
Data Cleaning
·
Data
Visualization
🚀 Prepare Real Business Case Studies
Interviewers often test practical
analytical thinking.
📍 Benefits of Working in Bengaluru
🌟 India's Analytics Capital
🌟 Strong Banking &
FinTech Ecosystem
🌟 Excellent Networking
Opportunities
🌟 Exposure to Global
Companies
🌟 Higher Career Growth
Potential
❓ Frequently Asked Questions (FAQs)
Q1. What role is Citi hiring for?
Citi is hiring Business Analytics
Analyst (AML).
Q2. What experience is required?
Candidates with 1-3 years of
experience are preferred.
Q3. Is Python mandatory?
Yes, Python knowledge is
specifically mentioned in the requirements.
Q4. Is SQL required?
Yes, SQL is one of the primary
skills required.
Q5. Is banking experience mandatory?
No, but banking exposure is
considered a strong advantage.
Q6. What is the job location?
Bengaluru, Karnataka.
Q7. What is the expected salary?
Approximately ₹7 LPA to ₹16 LPA depending on experience and
skillset.
Q8. Is this a remote role?
No, it follows a Hybrid work model.
🏆 Conclusion
The Citi Business Analytics
Analyst (AML) Recruitment 2026 is an excellent opportunity for
professionals interested in Data Analytics, Banking, AML, Risk Management,
Python, SQL, and Business Intelligence.
With a globally recognized brand,
competitive compensation, hybrid work flexibility, and strong career growth
opportunities, this role is ideal for candidates aiming to establish themselves
in the financial analytics and compliance domain.
If you have strong analytical thinking, proficiency in Python and SQL, and a passion for solving business problems using data, this Citi opportunity can be a significant stepping stone toward a successful analytics career.
🔗 Apply Link: Click Here To Apply for Citi
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Disclaimer
The recruitment details shared above are for informational purposes only and have
been obtained from the organization’s official website. We do not guarantee any
job placements. Recruitment will be conducted according to the company's
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