Data Analyst - FinCrime

Job Title: Data Analyst – FinCrime (Banking Domain)

Location: Gurgaon, Bangalore, Chennai - India

Experience: 7+ Years

Job Type: Full-time, Permanent

Job Summary:

We are looking for a Data Analyst – FinCrime with expertise in Business Intelligence (BI) & Data Visualization to join our Financial Crime (FinCrime) department within the banking domain. The ideal candidate will have experience working with large datasets, developing insightful reports and dashboards using Tableau, Power BI, and Matplotlib, and supporting fraud detection, anti-money laundering (AML), and other financial crime risk initiatives.

Key Responsibilities:

• Design and develop BI dashboards and reports using Tableau, Power BI, and Matplotlib to support FinCrime investigations and decision-making.
• Analyze and interpret large financial datasets to identify suspicious activities, fraud patterns, and potential financial crime risks.
• Collaborate with compliance, risk management, and fraud prevention teams to improve data-driven insights for FinCrime monitoring.
• Extract, transform, and analyze structured and unstructured data from banking systems and external sources.
• Support the development of machine learning models for fraud detection and AML monitoring.
• Conduct data profiling, data mapping, and root cause analysis to ensure data accuracy and integrity in FinCrime investigations.
• Work closely with regulatory teams to ensure compliance with AML, KYC, and other financial crime regulations.
• Optimize data pipelines and ETL processes to improve the efficiency of FinCrime analytics.
• Present insights and findings to senior management and external regulatory bodies when needed.
  
  
  

Required Skills & Qualifications:

• 7+ years of experience in Data Analytics, Business Intelligence, and Data Visualization.
• Strong expertise in Tableau, Power BI, and Matplotlib for data visualization and reporting.
• Experience in the banking and financial services domain, specifically in financial crime risk, AML, fraud detection, and compliance.
• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Knowledge of ETL processes and data warehousing concepts.
• Experience working with big data tools and cloud platforms (e.g., AWS, Azure, or GCP).
• Strong understanding of regulatory compliance frameworks related to financial crime (e.g., AML, KYC, CFT).
• Ability to translate complex data into meaningful insights for non-technical stakeholders.
• Excellent problem-solving, communication, and stakeholder management skills.
  
  
  

Preferred Qualifications:

• Experience with AI/ML models for fraud detection and risk analysis.
• Knowledge of graph analytics for fraud network analysis.
• Familiarity with compliance and risk management reporting.
• Experience working in an agile environment with JIRA and Confluence.
  
  
  

Why Join Us?

• Work on cutting-edge financial crime analytics projects within the banking sector.
• Collaborate with global stakeholders and regulatory bodies.
• Opportunity for professional growth and exposure to FinTech and AI-driven risk solutions.
• Competitive salary and benefits package.
  
  
  

If you are passionate about leveraging data analytics to combat financial crime and enhance banking security, we encourage you to apply!