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Data Analyst - FinCrime

Derisk360

London

On-site

GBP 45,000 - 65,000

Full time

7 days ago

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Job summary

A leading company in financial crime analytics is seeking a Data Analyst with expertise in Business Intelligence to join their team in London. The ideal candidate will have in-depth experience working in the banking sector, focusing on fraud detection and compliance. You will develop critical reports and visualizations with BI tools like Tableau and Power BI to support various regulatory initiatives and investigations, collaborating with cross-functional teams. If you are passionate about utilizing data to enhance banking security, this role presents an excellent opportunity for professional growth.

Benefits

Competitive salary and benefits package

Professional growth opportunities

Cutting-edge project exposure

Qualifications

7+ years of experience in Data Analytics and BI.
Strong expertise in Tableau, Power BI, and Matplotlib.
Experience in banking and financial crime risk management.

Responsibilities

Design and develop BI dashboards and reports for FinCrime.
Analyze large financial datasets to identify fraud patterns.
Collaborate with teams to improve data-driven insights.

Skills

Data Analytics

Business Intelligence

Data Visualization

SQL

Python

Analytical Skills

Tools

Tableau

Power BI

Matplotlib

2 months ago Be among the first 25 applicants

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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