Gurugram, Haryana, India
16+ years of experience in managing stakeholder engagement and delivery of data solutions across US/UK - Insurance and Banking industries. Currently leading the Insurance Data Practice and Palantir CoE within EXL - enabling Agentic AI workflows for Fortune 500 customers. Domain Expertise: • Data Engineering, Decision Analytics and AI • IFRS9 Impairment • Enterprise Risk Management • QA/Controls Design and Governance • Client Account Growth and PnL Management People Management • Resource and Delivery Management – Work Allocation, Utilization Management and Global Delivery Governance for 300+ member teams.
- Enterprise Risk Management Head for Businesses/CRO/CFO Functions to help go live with proposed new/amended products and services across Barclays Corporate Bank, ensuring alignment to Bank Strategy/ Financial Appetite. - Ensure robust risk due diligence/compliance to risk guardrails across 21 functional areas including Legal, Operations, Compliance, Technology, Financial/Regulatory Reporting, Model Risk, Credit Risk etc. - Custodian of Enterprise Risk Policy and Standards Framework.
Strategic Finance Transformation Lead aligned to the Bank's core objective of "Simpler, Better and Balanced" - Strategy lead for a robust 3-year Finance Transformation road-map encompassing 4 pillars i. Process Re-Engineering ii. Strategic Infrastructure iii. Ways-of-Working iv. Location Strategy - aimed at unlocking operational efficiencies (~50k annual FTE hours), improved colleague well-being, elevated service and strengthened controls. - Setup a recurring monitoring framework to track initiative progress vs anticipated capacity - enabling a quarterly bandwidth forecast to align with increased BAU demands.
Managing IFRS9 compliant Impairment Provisioning for Barclays Corporate and Investment Bank – Portfolio Size ~£1.5bn • Business Lead for Managing Actual Impairment Provisioning complying with IFRS9 Standards, directly impacting P&L • Identifying material MoM Impairment Drivers – MEV Scenarios, Portfolio Deterioration, Sectoral Stress, New/Matured Exposures, Single Name Drivers etc., • Forum Lead for providing Analytical MI to Senior Portfolio MDs and obtaining their Sign-Offs on monthly P&L Provisioning • Model Owner for Wholesale IFRS9 Model framework: o Liaise with Model Development and Monitoring Teams to ensure our Model Performance is monitored on an ongoing basis and appropriate enhancements are included in our Modeling Framework o Design and apply appropriate PMAs to address any known deficiencies in our models/volatility in macro-economic conditions o Liaise with Risk/IVU Team to ensure any ongoing enhancements/proposals are approved through necessary Governance • Design and Operate robust Controls to ensure Financial Controller/Reporting Teams accurately book these provisions in our P&L Systems and provide appropriate Balance Sheet Disclosures for Investor Relations • Coordinate with Risk Reporting/IT Teams to ensure that monthly modelled outputs are accurate and any input data deficiencies are remediated/flagged as required. • Evidence compliance of stringent Controls/Governance our Audit Teams – External (KPMG) and Internal (BIA/SOX) • Managing business relationship with multiple teams including Portfolio Partners, Model Developers, Model Monitoring, IVU, Finance Controllers, Risk Reporting, Group Reporting, Audit, Regulators and IT – spanning a team of 50+ individuals
Managing client engagement and leading offshore delivery of 14 FTEs working for the Direct Mail Marketing Analytics team of a large US based P&C Insurer. • Predictive modeling – Statistical models to predict Customer’s Response, Conversion, Expected Premium, Expected life and Customer Life Time Value (CLTV) o Developed multiple propensity models aimed at improving key metrics such as Cost per Response/Conversion, Life Time Value etc. In depth knowledge of various data sources available at the time of Marketing – Demographic (Acxiom, Merkle), Credit (TU), Membership (AARP), Census and Internal Quote/Policy data. • Data Strategy o Data Source evaluation and cost benefit of using various data sources/vendors. • Production Scoring and Model Monitoring o Developed an automated process to score multiple models across campaigns and monitor their real-time performance. • Campaign Analytics o Developed an automated system for campaign selection/measurement – reports and dashboards for the marketing department to systematically review the discreet metrics associated with each campaign and adjust or discontinue campaigns as needed. • Marketing Analytic mart setup – End-to-end design, development and testing of a Data Analytic Mart aimed towards providing: o Holistic view of the Customer - Data Integration, Automation, Campaign Tracking and Measurement • Segmentation and Targeting o Define target population to focus marketing efforts and develop customized communication strategies based on differential needs/characteristics of the prospect
Worked for a leading US based Airline client in the area of providing Contact Center Analytics: • Identified different metrics to evaluate contact center agents performance • Identified the different sources of data and created the database schema for understanding the relationship between different sources • Developed an Access based application to evaluate agents on different metrics and store their evaluation data • Designed an Access-Excel Interface to automate all Data Storage, Data Analysis and MI Reporting needs.