Rivago Infotech Inc
Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst specializing in Financial Crimes, requiring 3+ years of experience in AML/Fraud within BFSI or Fintech. Contract length is unspecified, with a pay rate of "unknown". Work is 100% onsite in Irving, Texas. Skills needed include SQL, Python, and knowledge of regulatory compliance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Data Mapping #Documentation #Data Profiling #UAT (User Acceptance Testing) #SQL (Structured Query Language) #Business Analysis #Data Quality #Compliance #Computer Science #Monitoring #Statistics #Data Integrity #Informatica #SAS #Tableau #"ETL (Extract #Transform #Load)" #Anomaly Detection #Data Analysis #Data Lineage #Python #Snowflake
Role description
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., Actimize, SAS, 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.
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
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., Actimize, SAS, 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.
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
