Senior Business Analyst & Product Owner with 6.5+ years in capital markets and fund accounting at BNY Mellon, including 5+ years of business analysis, product ownership and change delivery across Front-to-Back (F2B) trade lifecycle and NAV operations. Delivered USD 1M in documented cost savings, zero critical NAV incidents over 24 months, and 60% reduction in manual effort through automation and process redesign. Hands-on across pre- & post-trade processing, investment accounting (ABOR), client & investor reporting, data lineage/MDM, regulatory change and LLM/agentic-AI product orchestration for institutional clients.
BNY Mellon
Pune
Lead BA on capital markets and fund administration change programmes spanning the Front-to-Back (F2B) trade lifecycle — trade capture, confirmation & affirmation, settlement (T+1/T+2), reconciliations and NAV impact across multiple asset classes. Partner with investment accounting (ABOR) teams on Advent Geneva & FIS InvestOne to analyse data flows, map interfaces and assess downstream impact on NAV, ABOR/IBOR views and client/investor reporting. Conduct product discovery and Voice of Customer (VoC) sessions using Design Thinking and JTBD-style questioning to elicit requirements, validate pain points and prioritise backlog items with Operations, Technology, Risk and Compliance stakeholders. Own end-to-end BA artefacts: BRD/FRD/IRD, interface catalogues (API & file-based), data mappings, business rules, customer & stakeholder journey maps, AS-IS/TO-BE process models (BPMN/UML), user stories and acceptance criteria. Apply data lineage & data catalog concepts to reference data and MDM — documenting vendor feeds, upstream/downstream systems and critical data elements for 1,000+ securities, supporting audit readiness and regulatory reporting. Contribute BA input to regulatory change initiatives (EMIR, MiFID II, SFTR, FRTB/Basel IV awareness, FATCA/GDPR/PDPL context), including impact analysis, field mapping and test scenarios for SWIFT MT / ISO 20022 changes. Serve as Product Owner for multiple transformation workstreams; manage backlog, MoSCoW prioritisation, sprint planning and dependency management, aligning releases to regulatory & operational go-live windows (GTM execution across Ops and Tech). Explore AI governance themes using internal and self-built NAV-AI prototypes — confidence scoring review, exception triage rules, agentic AI workflows and human-in-the-loop approval for NAV/pricing exceptions.
BNY Mellon
Pune
Managed end-to-end NAV production & validation for 50+ hedge fund and institutional portfolios — zero critical NAV incidents over 24 months and 98%+ accuracy. Executed daily F2B trade lifecycle touchpoints within NAV: trade capture, trade support, confirmation & affirmation, settlement (T+1/T+2), and break resolution with custodians, prime brokers and counterparties. Priced and valued multi-asset portfolios ($1B+ AUM) using Bloomberg, Refinitiv, Markit and ICE; investigated pricing anomalies, stale prices and vendor discrepancies and resolved within SLA, with P&L impact awareness via NAV and pricing checks. Performed cash, position and holdings reconciliations across Advent Geneva, FIS InvestOne and custodians; resolved 95% of breaks within SLA and supported client/investor reporting packs and SLA dashboards. Maintained security master and MDM for 1,000+ vendor records daily at 96.5%+ accuracy, enforcing data governance standards and clear data lineage from market data providers into ABOR & NAV systems. Supported KYC/AML and client onboarding documentation, with awareness of FATCA and data protection obligations (GDPR/PDPL context) for institutional clients. Drove early business analysis and process improvement within NAV operations — documenting AS-IS flows, identifying manual pain points, and partnering with tech teams to design SQL/Python/VBA automations that reduced effort and improved SLA adherence. Mentored 6 analysts; built SOPs and onboarding playbooks that reduced ramp-up time by 40%. Received Process Innovation Award and Customer Delight Award (95%+ satisfaction).
MBA, Finance
Bachelor’s Degree
Demo – GitHub
ML-driven NAV exception management engine for hedge fund ops: break classification with confidence scoring, multi-source reconciliation and an ops cockpit. Demonstrates NAV validation, pricing & P&L impact awareness, AI governance (confidence scoring & human-in-the-loop review) and alignment with institutional control frameworks.
Demo – GitHub
Python/Streamlit dashboard covering trade booking, confirmation, settlement (T+1/T+2) and exception prediction across the F2B lifecycle, with SLA alerts and recon failsafes. Reinforces OMS/PMS-adjacent understanding and trade support workflows.
Demo – GitHub
Agentic AI workspace for PO/BA teams in BFSI: LLM orchestrates actions across Jira, Notion, Figma and Miro to surface sprint health, feature status and stakeholder briefings. Showcases LLM product management & orchestration, agentic AI patterns, API integrations and PLG-ready UX thinking for internal tooling.