Sourabh Thakur

· Analyze financial transactions and account activity to identify unusual activity to identify unusual or suspicious patterns.

· Conducting in-depth investigations into potential fraud cases, which may involve gathering evidence.

· Performing 360 Reviews on the Alert which has been triggered due to violation of threshold set for the systems for Fraud types (i.e.- ATO, PTO, TOA, ID Theft, ATO Scam, First Party Frauds etc.)

· Analyze data trends and out of pattern activities to assimilate the next course of action (Case closure, Reimbursements, or escalation)

· Adjudicate the fraud type and apply relevant mitigation steps basis policies and procedures

· Determining fraud trends by analyzing accounts, transactions and foul play patterns to stop money laundering

· Making reports on suspicious activity and risk management and deep dive investigations

· To Identify system improvements to prevent fraudulent/money laundering activities

· To Develop measures for identifying and monitoring key risk indicators

· Collaborate with Strategy Manager and Data Science and Risk Management teams to provide feedback on observed fraud patterns

· Handled transaction processing (Withdrawals and transactions) and assisted customer support team by responding to users via email and resolve queries

· Worked as SME (Subject Matter Expert) in teaching and solving doubts of new hires, managed and kept them motivated to meet their targets.

• Focus on client usage of Keka modules and prepare a plan to help the client improve product/module usage
• Coordinated with internal teams to provide prompt support and address client needs efficiently.
• Effectively and efficiently close all support queries/tickets raised by the client
• Proactively provide product training, feature updates, and refreshers to client
• Conduct quarterly business reviews with senior stakeholders to align product deliveries to client business outcome
• Maintain and follow the laid down onboarding processes as per existing SOPs
• Investigate client information to further develop client experience.

• Acceptance, verification and scrutinization of KYC documents for account opening as per statutory guidelines
• Monitored institutional and customer transactions for suspicious activity, flagged certain transactions and accounts
• Conducted in-depth investigations of flagged transactions and accounts including origin investigations, validating transactions, and account reconciliation
• Perform proactively checks on customer's transactions through specified procedures
• Meet or exceed against the section average / PLA (whichever is higher) for the KPIs such as case & call quality, Complaints/Compliments.
• Supported AML investigations by providing accurate and timely information on customers'' financial activities.

• Reviewed reports and individual transactions which appeared suspicious to uncover possible fraudulent activity
• Managed quality assurance program, including on-evaluations, internal audits, and customer surveys
• Conduct case support to customer's insider threat activities and requirements pursuant to investigations, administrative or security inquiries, security risk assessments, or other adjudicative assessments
• Dive deep on regular basis to uncover new risks, re-prioritize existing risks, and assist with investigation and root cause resolution.
• Knowledge of Platforms- Nautilus, Jupiter

• Analyzing customer data on daily basis with the help of statistical tools
• Keeping abreast of trends and fraud/abuse patterns impacting the E-commerce industry like Bot attacks, Malware detection, Phishing attacks, Remote Takeover.
• Catch all fraud patterns and implement SOPs and policies to keep investigation process updated
• Reviewed reports and individual transactions which appeared suspicious to uncover possible fraudulent activity
• High priority queues such as PYP, Branded, High Risk Queues, Account Takeover- Gift Cards
• Conducted thorough investigations for suspicious transactions, reducing financial risks and potential losses.
• Analyzed large amounts of data to find patterns of fraud and anomalies.