THARUN SIDDALA
Summary
Fraud Analyst with 3 years of experience in real-time fraud detection, AML/BSA compliance, Enhanced Due Diligence (EDD), and financial crime investigations within US banking institutions. Skilled in transaction monitoring, fraud risk analysis, SAR filing, and regulatory compliance with laws such as the Bank Secrecy Act (BSA), USA PATRIOT Act, Anti-Money Laundering (AML), and OFAC guidelines. Hands-on experience with SAS, Actimize, Feedzai, and Fiserv to detect and prevent ACH fraud, wire fraud, debit/credit card fraud, home loan fraud, and identity theft.
Overview
3
3
years of professional experience
Work History
Fraud & AML Analyst
US Bank
02.2022 - Current
- Monitored ACH, wire transfers, debit/credit card transactions, home loans, and check payments for suspicious activity
- Investigated flagged transactions using SAS, Actimize, and Fiserv risk scoring models
- Verified transactions with customers to confirm legitimacy and prevent unauthorized activities
- Conducted EDD reviews on high-risk accounts and business transactions
- Assisted in filing Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs)
- Ensured compliance with BSA, USA PATRIOT Act, and OFAC regulations
- Developed fraud detection models in SAS to analyze transaction trends
- Helped implement biometric authentication and MFA (Multi-Factor Authentication) to enhance account security
- Created fraud rules for credit card, wire, and mortgage transactions to prevent financial losses
- Contacted customers to verify flagged transactions and mitigate potential fraud risks
- Assisted in resolving fraud disputes, chargebacks, and claim investigations
Education
MASTER'S - COMPUTER SCIENCE
Lewis University
01.2023
BACHELOR'S - COMPUTER SCIENCE
Shivaji University
01.2021
Skills
- Fraud Detection
- AML Compliance
- BSA
- KYC
- EDD
- OFAC
- SAS
- Actimize
- Feedzai
- Fiserv
- Transaction Monitoring
- Risk Analysis
- SAR Filing
- Oracle Mantas
- BAE NetReveal
- CipherTrace
- LexisNexis
- DevOps
- Azure
- Option set management
- Problem management
- Microsoft Word
Additional Information - Key Achievements
- Reduced fraud losses by 50% through improved risk-based fraud scoring and transaction verification
- Increased fraud detection accuracy from 80% to 92% by optimizing alert rules and analytics
- Streamlined AML compliance by enhancing EDD reviews and SAR filing efficiency
Timeline
Fraud & AML Analyst
US Bank
02.2022 - Current
MASTER'S - COMPUTER SCIENCE
Lewis University
BACHELOR'S - COMPUTER SCIENCE
Shivaji University