Top Tech Jobs & Startup Jobs in Mumbai

Design and implement data-driven strategies to detect and prevent account takeover and device fraud. Perform deep-dive analyses, lead investigations of high-value incidents, develop and deploy analytical rules, collaborate with technology, product, risk and operations teams, and produce MIS reporting while tracking industry trends and driving innovative fraud solutions.

Produce and deliver daily P&L for Treasury/Fixed Income/FX desks, reconcile front-to-back P&L and balance sheet, analyze variances and trader positions (Greeks), collaborate with Front/Middle Office, Risk, Technology and Operations, support month-end controls, drive process improvements, and perform testing/UAT and remediation.

Produce and report daily P&L for Global Credit Trading desks, reconcile front-to-back positions, analyze trader risk and Greeks, investigate variances, support month-end controls, liaise with trading, risk, operations and technology, drive process improvements, and participate in UAT and remediation activities.

Produce and deliver daily P&L for Global Counterparty Portfolio Management desks, reconcile P&L vs trader estimates, perform front-to-back reconciliations, analyze risk positions and Greeks, support month-end controls, liaise with front/middle/finance/tech, drive process improvements, and perform UAT and remediation.

Support the syndication of Asset Backed Securities by analyzing transactions, preparing credit memos, conducting due diligence, and evaluating risks and returns.

The Data Governance Analyst role involves establishing governance standards, enhancing data quality, performing data analysis, and communicating insights and trends effectively within the organization.

The Manager will develop fraud strategies, optimize detection systems, and collaborate with multiple teams to enhance fraud detection processes.

The role involves developing algorithms for fraud detection, collaborating on data analysis, and deploying monitoring solutions to enhance client experience and reduce fraud losses.

The role involves deploying advanced analytical solutions to reduce fraud losses, collaborating with data scientists, and managing data pipelines with a focus on real-time data access and quality assurance.

This role focuses on developing fraud detection strategies using statistical methods, optimizing existing strategies, and creating reporting processes. Requires strong experience in data analytics, particularly in financial services.