Top Tech Jobs & Startup Jobs in Mumbai

Leads regulatory reporting implementations and remediation for credit, rates, and equity derivatives. Executes end-to-end controls, interprets requirements across jurisdictions, investigates issues, coordinates cross-functional delivery, and improves reporting processes and governance. The role requires investment banking middle-office or trade-support experience, derivatives knowledge, and familiarity with Dodd-Frank CFTC and EMIR reporting. Preferred capabilities include Alteryx, Python, SQL, Databricks, and AI-enabled process automation.

Monitor currency, legal-entity, Nostro, and intraday cash positions; investigate funding variances and reconcile statement-to-ledger breaks. Compile regulatory and affiliate reporting balances, advise Treasury and trading teams, identify control gaps, and recommend process improvements. The role requires payment operations, settlement, cash management, analytical, communication, and project coordination skills.

Builds production-grade data pipelines, financial planning automation, governed dashboards, and finance-ready data models using Python, SQL, Databricks, and BI tools. The role implements data quality checks, reconciliations, controls, anomaly detection, and forecast validation while modernizing legacy workflows. It partners with finance, product, and business stakeholders to define requirements, support testing and releases, document solutions, and drive adoption of standardized reporting and self-service analytics.

Lead the onboarding, migration, control, and decommissioning of FICC pre-trade datasets across Tradevault, SAGE, and related platforms. Coordinate data mapping, transformation, validation, quality controls, surveillance feeds, and data democratization initiatives. Partner with Sales, Trading, Surveillance, and Technology teams while tracking program risks, dependencies, progress, and timelines. Develop documentation, data catalogs, training materials, and governance processes to support secure and reliable data access.

Develop and maintain software tools, UIs, frameworks, systematic trading strategies, monitoring systems, and attribution platforms for commodities trading. Process and analyze large datasets for alpha research, improve model robustness and integration, and collaborate closely with traders, quantitative researchers, and software developers. The role requires strong Python development, data science, visualization, database, and systematic research capabilities.

Lead payment lifecycle operations by managing teams, workflows, processing goals, controls, issue resolution, fraud prevention, and process improvement. Oversee global payment processing, fund transfers, reconciliations, stakeholder collaboration, resource planning, automation, risk management, and compliance. Use data analysis, cybersecurity awareness, and anti-fraud strategies to improve operational efficiency, customer experience, and payment security.

Performs price verification, fair value adjustment calculations, valuation controls, management reporting, and regulatory work. Partners with business, risk, finance, and functional teams on valuation issues; reviews pricing processes, identifies control gaps, and implements tools and process improvements. Requires strong understanding of financial products, derivatives, valuation concepts, accounting, and quantitative analysis.

Oversee CIB Risk records management, data retention and destruction, access reviews, protection certifications, data-quality remediation, and audit-ready evidence. Coordinate recurring control activities, stakeholder outreach, reporting, escalations, and implementation of data-risk requirements. Provide guidance and training to business, risk, compliance, data, and technology partners while using Alteryx, Python, AI, and intelligent solutions to improve operational efficiency.

Performs risk assessments, control testing, regulatory reporting quality reviews, remediation tracking, root-cause analysis, and process improvements for payments operations. Monitors reporting accuracy, completeness, timeliness, and control adherence while synthesizing leadership insights. Leads change initiatives and uses AI and machine learning for anomaly detection, data validation, and workflow analysis. Partners with global teams to strengthen regulatory compliance and reporting standards.

Leads software engineering within an agile banking technology team, designing, developing, testing, and troubleshooting secure, scalable Java backend and microservices applications. Reviews code, improves operational stability, evaluates architectures and vendors, and promotes automation and enterprise-approved AI-assisted development practices. Requires expertise in cloud platforms, distributed systems, REST APIs, WebSockets, JSON, SQL and NoSQL databases, software security, resiliency, CI/CD, and team mentorship.