Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Analyst with 10+ years in fraud prevention & investigation and transaction monitoring.
I am Sundarakrishnan R, B.Tech (IT) graduate currently working at Mashreq Bank, with over 11+ years of hands-on experience in fraud risk management, Mule transaction monitoring, Sanctions payment screening, KYC, CDD, ECDD and Investigations (STR/SAR - Reporting) I specialize in backend fraud detection, with expertise in analyzing card entry modes, merchant category codes (MCC), online banking behavior, and SWIFT anomalies (including title mismatches). My ability to identify fraud at an early stage combined with advanced link analysis strengthens fraud prevention strategies and helps protect customers from financial loss. I have successfully led investigations involving fraudulent fund transfers (FFT), social engineering fraud, and mule account activities, contributing to the prevention of significant financial losses. I analyze patterns, investigate root causes, and make informed decisions to safeguard both the institution and its customers. I bring strong technical expertise in EFM, GoAML, Fircosoft, and SQL, and have worked closely with regulatory authorities to ensure accurate and timely SAR/STR reporting.
Anna University
B. Tech · Information technology
May 5, 2010 – April 16, 2013
Mashreq Global Bank
Lead Fraud Analyst in Fraud Prevention & Investigation
October 1, 2022 – Present
Bengaluru, Karnataka, India
TVS Credit Service PVT.LTD
Deputy Manager in Insta Card Product
July 1, 2021 – October 1, 2022
Chennai, Tamil Nadu, India
Equitas Small Finance Bank
Assistant Manager in Fraud Risk Management
December 1, 2018 – June 1, 2021
Chennai, Tamil Nadu, India
HDFC Bank LTD
Senior Fraud Analyst in Risk Intelligence & Control
September 1, 2014 – December 1, 2018
Chennai, Tamil Nadu, India
Certified Data Science Pro-Degree | ML & Deep learning
Imarticus learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory across multiple reputable financial institutions (HDFC Bank, Equitas Small Finance Bank, TVS Credit Service, Mashreq Global Bank) demonstrates adaptability and a strong commitment to the financial services industry. Their diverse experience in different fraud prevention domains (card fraud, digital payments, international transfers) and regulatory environments indicates a broad understanding of financial crime. The certification in Data Science, ML & Deep Learning, although future-dated, shows a proactive approach to continuous learning and an interest in leveraging advanced technologies, which aligns with a forward-thinking organizational culture. The consistent focus on compliance, risk mitigation, and ethical handling of cases suggests a strong cultural alignment with organizations prioritizing integrity and regulatory adherence.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a Senior Finance Manager role focused on fraud prevention and risk management. Their experience highlights meticulous attention to detail in transaction monitoring, case investigation, and regulatory reporting. The ability to collaborate with security teams, manage vendor coordination, and handle ethics complaints suggests strong integrity and teamwork. The focus on reducing false positives/negatives and enhancing detection accuracy indicates a results-oriented approach. While direct soft skill descriptions are limited, the consistent progression in fraud-related roles across multiple banks implies strong problem-solving, analytical thinking, and decision-making capabilities essential for senior management.