Business Data Analyst with Financial crime

Position –   Business Data Analyst (Business Analyst only with Data domain) with Financial Crimes

Location:     Irving Texas – 100% onsite 3 days from office mandate (All client interview will be In-Person pls inform candidate then only submit)

A Business Analyst specializing in Data and Financial Crime (AML/Fraud) bridges the gap between technical data teams and compliance officers, utilizing SQL, Python, or tools like Actimize/SAS to analyze, detect, and prevent financial crime. They define requirements for transaction monitoring, optimize detection algorithms, and ensure regulatory compliance. 

Key Responsibilities

Data Analysis & Mapping: Analyzing customer data, transaction monitoring, and conducting source-to-target mapping for data transformation.

System Implementation: Driving the implementation of AML and Fraud solutions, including case management system enhancement (e.g., , , Quantexa).

Requirement Documentation: Eliciting and documenting business (BRD), functional (FRD), and data requirements for financial intelligence units.

Risk & Regulatory Compliance: Translating regulations (e.g., FATF, AMLDs) into technical requirements and optimizing model-based scenarios to reduce false positives.

Data Integrity: Defining data quality controls, completeness, and correctness checks across end-to-end data lineage. 

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Required Skills & Tools:

Data Skills: SQL, Python, Tableau, SAS, Informatica, Snowflake.

Domain Knowledge: Anti-Money Laundering (AML), KYC, Sanctions, Fraud detection, Transaction Monitoring.

Analytical: Data profiling, data mapping, statistical modeling, and anomaly detection.

Soft Skills: Stakeholder management, Process modeling, UAT management, Communication. 

Typical Qualifications:

Background in Computer Science, Data Analytics, Statistics, or Engineering.

Relevant experience in Banking :& Financial Services Industry (BFSI) or Fintech. 

Common Job Titles you may come across.

Financial Crime Data Analyst/Business Analyst

AML Business Analyst

Lead - Fraud Analytics

Data Business Analyst - Global TM Optimization