Venkata Rahul Murarisetty
Financial Crimes Data Analyst | Risk & Compliance Analytics
About
Analytical and results-oriented professional with 5 years of experience in risk analytics, financial crimes data, and compliance monitoring. Expert in building data-driven logic for transaction monitoring across card, ACH, and digital asset activity using advanced SQL and Python. Proven track record of optimizing rule performance, reducing false positives, and delivering production-ready risk segmentation frameworks. Skilled in translating complex regulatory requirements into scalable technical solutions and interactive dashboards for financial intelligence units.
Professional Experience
Financial Crimes Data Analyst
BlackRock
May 2024 -- Present
- --Optimized transaction monitoring logic for card and wire transfers using complex SQL window functions and aggregations to enhance detection quality.
- --Analyzed 10M+ financial records to detect emerging fraud patterns, reducing false positive alert rates by 22%.
- --Designed production-ready monitoring rules for digital asset transactions, integrating signals from blockchain intelligence tools like Chainalysis.
- --Developed automated risk dashboards in Power BI, increasing operational visibility into investigator efficiency by 35%.
Compliance Risk Analytics Consultant
Syneos Health
August 2023 -- April 2024
- --Built data-driven Know Your Customer and Know Your Business (KYC/KYB) risk segmentation frameworks using Python and SQL on Snowflake.
- --Evaluated rule performance and alert-to-case conversion rates, recommending optimizations that improved detection quality by 18%.
- --Partnered with investigations leadership to ensure compliance monitoring logic reflected real-world risk signals and regulatory expectations.
Risk & Fraud Analytics Associate
Accenture
August 2020 -- July 2022
- --Developed automated ETL pipelines for financial transaction data, accelerating reporting cycles by 40% for multi-national accounts.
- --Implemented rule-based monitoring logic and predictive models to identify outliers in high-volume payment flows and remittance activity.
- --Managed data-driven risk analyses across diverse geographies to identify control gaps in Anti-Money Laundering and Bank Secrecy Act (AML/BSA) frameworks.
Skills
Education
Master of Science in Applied Computer Science
Grand Valley State University -- Michigan, USA
August 2022 -- April 2024
Bachelor of Technology in Electronics and Communication Engineering
Kalasalingam Academy of Research and Education -- Tamil Nadu, India
August 2018 -- May 2022
Contact
Interested in working together? Feel free to reach out.
New Jersey, NJ (Open to Relocation)