Sahil Khan

Data-Driven Risk & Compliance Leader | Fraud Detection | AML | Chargebacks | SQL | Metabase | Fintech | Process Optimization | Recovery Specialist | Analytics Expert Results-focused professional with deep fintech risk/compliance expertise. I leverage data analytics (SQL, Metabase) to drive fraud detection, AML adherence, optimize chargebacks, & maximize recovery. Proven ability to minimize losses, enhance efficiency, & ensure regulatory compliance. Key Skills & Achievements: Fraud: Identified fraud/collusion (₹10M+), predictive models, real-time risk dashboards. Proactive monitoring (SQL, Appscript), individual/proprietorship flagging, anomaly detection. AML: Ensured AML rule compliance (buyer concentration, high-value trans.), audits, regulatory changes. DTS customer flag logic, rule ID 1 & 2 adherence, transaction pattern analysis. Chargebacks: Managed end-to-end, ₹79L+ recovery, SOPs (ticket handling. Productivity tracker, reversal automation, dispute resolution. Data: SQL, Metabase dashboards (transaction monitoring, reconciliation, fraud: CTS lost, UPI), data tables for risk/compliance, merchant recovery insights, data-driven strategy development. Process: Automated chargeback inflows (manual work reduction), optimized workflows (reconciliation, dispute resolution), manual dependency reduction, process enhancement. Results: Improved transaction visibility, reduced financial losses, enhanced operational efficiency (data-driven), demand draft notice implementation, enhanced fraud detection accuracy. Leadership: Mentored teams, collaborated across risk, compliance, product, legal, led cross-functional data utilization, OKR driven data sharing, stakeholder engagement.

Results-focused professional with deep fintech risk/compliance expertise. I leverage data analytics (SQL, Metabase) to drive fraud detection, AML adherence, optimize chargebacks, & maximize recovery. Proven ability to minimize losses, enhance efficiency, & ensure regulatory compliance.

Acted as the lead in resolving complex fraud cases, conducting detailed fraud analysis and collaborating with banks to resolve chargeback disputes. Optimized the use of SQL for building data queries, improving transaction risk assessment and providing faster dispute resolution. Enhanced the chargeback management system, streamlining processes and reducing merchant wait times by 75%. Created detailed reports and presented insights to senior management, aiding in the optimization of risk mitigation strategies. Supported continuous improvement initiatives by creating tools and templates in VBA Excel to automate data collection and analysis. Worked closely with the Product and Engineering teams to identify areas for improvement in fraud detection and prevention.

Led efforts to mitigate financial risk by conducting in-depth chargeback analysis and collaborating with multiple teams to resolve disputes efficiently. Leveraged SQL to analyze large datasets, identifying trends in transaction risks and providing actionable insights to improve the company’s fraud detection systems. Designed and presented data-driven reports using Microsoft Excel and Tableau, supporting senior management in making informed decisions on risk management strategies. Played a key role in enhancing cross-functional collaboration by promoting teamwork and ensuring seamless communication between departments. Provided continuous support to finance and compliance teams to streamline business analysis and improve the accuracy of fraud detection and prevention measures.

Conducted thorough fraud analysis on high-risk transactions, contributing to the prevention of financial fraud and reducing risk exposure for merchants and the company. Assisted in the development and maintenance of the company’s risk management framework, ensuring compliance with regulatory requirements and internal policies. Managed chargeback processes, reducing resolution times and improving communication with stakeholders, including banks and merchants. Utilized SQL to run queries and analyze data, providing insights on transaction patterns and potential risks. Actively collaborated with internal teams to implement risk mitigation strategies, which helped in reducing overall chargeback losses. Worked with the finance team to reconcile complex financial data, improving accuracy in transaction reporting.