Data Analyst - FinCrime

Derisk360; London; On-site; GBP 30,000 - 50,000; Full time

Job summary

A leading company in financial crime analytics seeks a Data Analyst specialized in Business Intelligence and Data Visualization. This role involves working on significant datasets, developing insights for fraud detection, and adhering to AML regulations. The ideal candidate will possess strong skills in Tableau and Power BI and have a solid understanding of the banking sector. If you're passionate about enhancing banking security through data analytics, apply now.

Benefits

Competitive salary and benefits package

Opportunity for professional growth in FinTech

Qualifications

• 7+ years of experience in Data Analytics and BI.
• Proficient in SQL and Python for data analysis.
• Strong expertise in Tableau and Power BI.

Responsibilities

• Design and develop BI dashboards using Tableau and Power BI.
• Analyze large financial datasets to identify fraud patterns.
• Support the development of machine learning models for fraud detection.

Skills

Business Intelligence

Data Visualization

Fraud Detection

Anti-Money Laundering (AML)

SQL

Python

Tools

Tableau

Power BI

Matplotlib

Job description

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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.

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!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services

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