Top Tech Jobs & Startup Jobs in Mumbai

Assess and manage credit risk for TMT clients across leveraged, investment grade and innovation segments. Perform due diligence, cash flow and financial modelling, prepare credit memos, recommend structures and gradings, negotiate documentation, monitor portfolio and sector trends, interact with stakeholders and coach junior colleagues.

Lead credit and market risk measurement and analytics across marketable-securities-backed lending, capital markets, and derivatives. Guide collateral frameworks, stress testing, reserves, limit design, and event-driven reviews. Produce oversight analytics, partner with modeling and business teams, interpret regulatory requirements, and present recommendations to senior leadership to support risk monitoring, governance, and decision making across global coverage.

Support credit decision-making by performing due diligence, building financial models, preparing credit memoranda, interpreting loan documentation, monitoring exposures across products, coordinating with stakeholders, applying risk policies, and coaching junior colleagues.

Lead implementation and enforcement of data governance and risk management policies. Manage data quality remediation, metadata, lineage, stakeholder coordination, BCBS 239 compliance, metrics, training, and enablement across business and technology partners.

Serve as first point of contact for customers in a fraud call center, handling high call volumes, resolving account/fraud issues, navigating multiple systems, following regulatory procedures, and escalating non-standard cases to supervisors while maintaining empathy and accuracy.

Lead and execute control testing to assess SOX and regulatory alignment, document processes and findings, drive issue remediation, engage stakeholders, and mentor testers to strengthen compliance and operational risk controls.

Lead definition and delivery of the Billing product roadmap and data capabilities. Drive AI/data strategy, ensure end-to-end data quality and traceability, manage requirements and delivery lifecycle, perform impact analysis, mitigate risks, and develop a high-performing team across Product, Technology, Operations, and Controls.

Perform risk analytics to inform strategy, controls, and performance monitoring. Build periodic and ad hoc analyses, interpret KPIs and profitability drivers across account lifecycle, understand operational processes to evaluate acquisition performance, and deliver recommendations to management supporting Risk Management projects.

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.