Deepesh Sen
- Role
- Director - Global Head of Digitization, Data, Analytics, & Cross-functional Technology at Citi
- Location
- Princeton, NJ, US
- LinkedIn followers
- 500 followers
About Deepesh Sen
A visionary and performance-driven Technology Executive, transformational manager, and…
Experience
Director - Global Head of Digitization, Data, Analytics, & Cross-functional Technology
Jan 2019 — Present
Promoted to drive the technology roadmap, architecture, and management of 12+ platforms, covering various internal and external users. Administer a portfolio of ~$15 million covering applications in DW, mobile, web, data science, communication, workflow, and real-time processing space. Lead a global team of 200+ employees. • Architect and execute the strategic technology vision. Author technical roadmaps, policies, and procedures. Create measurable and trackable metrics, institute new processes, and reengineer existing processes to establish and continuously improve platform performance and operational efficiencies. • Designed messaging and API-based common publishing layer for downstream publication and usage of data by other applications and use cases. The platform currently processes 25+ million transactions/day, serves 30K+ API calls, publishes 15+ million downstream messages, and stores 100TB + data. • Led modernization and simplification strategy resulting in the retirement of 10 applications and migration of corresponding business functions to a new platform which saved ~$5 million in legacy component maintenance. • Drove the vision, consensus, and design of the central Data Fabric to ingest and process transactions and events in real-time from product processors, post-execution services, and workflow platforms to create the lifecycle of transactions and events covering Booking, Trades, Confirmations, Allocations, Settlements, Positions, Margins, Asset Servicing, and payments. • Conceptualized, designed, and rolled out a rule and ML-based payment anomaly detection and mitigation solution to detect potential loss events and reduce payment-related risks and operational losses. • Partnered with OPS, internal teams, and the clearing house to build and rollout a new platform to manage MBS trade allocation functions, To-Be allocated Trade to Pool matching, ID confirmation, and affirmation process. • Create budgets, cost controls, and forecasting.
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