Posted:10 hours ago|
Platform:
On-site
Part Time
EXL/SM/1368750
Number Of Positions
1
Band
C2
Band Name
Senior Manager
Cost Code
D014751
Campus/Non Campus
NON CAMPUS
Employment Type
Permanent
Requisition Type
New
Max CTC
2000000.0000 - 3000000.0000
Complexity Level
Not Applicable
Work Type
Hybrid – Working Partly From Home And Partly From Office
Group
Analytics
Sub Group
Banking & Financial Services
Organization
Services
LOB
Banking & Financial Services
SBU
Analytics
Country
India
City
Gurgaon
Center
EXL - Gurgaon Center 38
Skill
Minimum Qualification
B.TECH/B.E
Certification
No data available
We are seeking a detail-oriented and analytical professional to support our client's Merchant Finance team as a Transaction Monitoring and Anomaly Detection Analyst. In this role, you will be responsible for developing, managing, and enhancing systems and processes that monitor financial transactions to detect fraud, money laundering, or unusual patterns in merchant activity. This position plays a critical role in safeguarding our payment infrastructure and maintaining regulatory compliance.
Key Responsibilities
Design and implement transaction monitoring rules and models for merchant financing and payments.
Analyze merchant transaction data to detect suspicious, fraudulent, or anomalous behavior patterns.
Collaborate with data science teams to build and refine anomaly detection algorithms using machine learning and statistical methods.
Perform deep dives on flagged transactions to identify root causes and patterns.
Work closely with risk, product, compliance, and engineering teams to define detection strategies and enhance risk scoring systems.
Maintain and improve the transaction monitoring system, including rule tuning and false positive reduction.
Ensure timely escalation and reporting of suspicious activity to compliance and regulatory bodies as required (e.g., SARs/STRs).
Conduct post-incident analysis to improve detection capabilities and reduce future risk.
Prepare periodic reports and dashboards for senior management and regulatory reporting.
Required Qualifications
Bachelor’s or Master’s degree in Finance, Data Science, Statistics, Computer Science, or related field.
6+ years of experience in transaction monitoring, fraud analytics, or anomaly detection in financial services, preferably in merchant/acquirer finance.
Strong analytical skills with hands-on experience in SQL, Python, R, or other analytical tools.
Experience with rule-based and machine learning-based anomaly detection systems.
Familiarity with merchant behavior analytics, risk profiling, and fraud typologies.
Understanding of AML (Anti-Money Laundering), KYC, and regulatory requirements.
Excellent communication and documentation skills.
Workflow Type
EXL Services
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