Top Tech Jobs & Startup Jobs

Leads client processing operations, managing institutional client relationships, service requests, exceptions, settlement inquiries, account onboarding, and issue resolution. Collaborates with Operations, Risk, Compliance, Technology, and other stakeholders to remediate complex issues. Maintains procedures, metrics, reporting, and operational controls while identifying process improvements and ensuring accurate processing within market deadlines.

Leads data management and quantitative analysis strategy, ensuring data integrity, accuracy, and governance across platforms. Translates complex data insights into business strategies, drives process automation and continuous improvement, and collaborates cross-functionally to support data-driven decisions. The role also mentors team members, promotes innovation, and advances data management practices through emerging technologies and industry trends.

This role involves analyzing, troubleshooting, and ensuring the accuracy of data transfers and integrations. Performs data quality testing and fixes issues to improve performance, while communicating with vendors and colleagues. Provides guidance to junior team members and contributes to team objectives.

Designs, develops, tests, documents, deploys, and maintains full-stack software applications. Responsibilities include front-end and back-end development, test automation, code reviews, system integration, troubleshooting, security and privacy implementation, technical debt reduction, and ongoing enhancements. Collaborates with engineers, data teams, business users, and project managers while mentoring junior developers and contributing to continuous improvement.

Supports application stability and resilience by developing automation workflows, improving scripts and validation checks, onboarding applications into standardized support frameworks, troubleshooting production issues, and implementing durable fixes. The role also contributes to operational playbooks, documentation, pipelines, tooling, and process improvements while mentoring junior team members and strengthening operational controls.

Support ICAAP, capital planning, regulatory stress testing, and capital management activities for a banking organization. Develop stress-testing methodologies, analyze results, prepare senior management reporting, and support regulatory reviews. Drive automation, forecasting, dashboards, data quality, and technology transformation initiatives in partnership with Technology and Data teams. Engage regulators, auditors, and senior stakeholders while enhancing treasury and capital management processes.

Provides hands-on technical leadership for the Middle Office Engineering Team in Pune. Designs scalable, secure architectures and develops reliable full-stack software using distributed systems, cloud-native technologies, microservices, APIs, and data stores. Mentors engineers, improves workflows, establishes reusable engineering patterns, integrates responsible AI-enabled capabilities, and ensures production systems meet resiliency, performance, scalability, security, testing, observability, and operational requirements.

Leads the strategic, operational, and organizational agenda for enterprise Engineering. Advises the Head of Engineering, drives transformation, establishes governance and leadership rhythms, improves operating models, oversees analytics and digitalization, advances AI adoption, strengthens engineering practices, and executes talent and location strategies. The role also manages strategic technology partnerships, vendor and finance capabilities, cross-functional alignment, and organizational enablement to improve engineering performance, accountability, and scalability.

Lead relationship management for ultra-high-net-worth clients, serving as the primary contact and driving client meetings, prospecting, and business development. Develop tailored strategies spanning wealth advisory, financial planning, banking, and trust solutions. Coordinate specialist coverage, deliver active wealth management services, prepare balance sheets, execute client projects, and mentor less experienced coverage leads. The role requires extensive financial services experience, market knowledge, and strong client relationship skills.

Designs and maintains data models, databases, dictionaries, ETL workflows, and data quality processes. Partners with data owners and reporting teams to define requirements, resolve discrepancies, establish stewardship, and improve data sharing. Develops scalable PySpark and Python pipelines, optimizes SQL and Spark jobs, and implements AI/ML solutions using technologies including Snowflake and Oracle. Requires collaboration across teams, strong documentation, and adherence to data standards.