Summary
Overview
Work History
Education
Skills
Other
Timeline
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Bhupendra Rathore

Hockessin,DE

Summary

Accomplished quantitative finance professional with 20+ years of experience in developing, managing, and implementing advanced models for decision-making, risk assessment, acquisition, regulatory compliance, and forecasting. Recognized for a proven track record in impairment modeling, Basel regulatory frameworks, strategic optimization, medium-term financial planning, and large-scale mandate execution. Skilled in leading high-performing teams, engaging with regulatory bodies, and leveraging cutting-edge analytics to enhance business performance and risk management.

Overview

28
28
years of professional experience

Work History

Director, Head of Capital, Impairment Forecasting

Barclays
12.2018 - Current
  • Spearheaded the successful development and implementation of Basel 3.0 for US Unsecured portfolio. Capital Adequacy and resilience to withstand shocks, Risk management, Exposure Management, Quantitative Modeling and Analytics, Compliance, Controls, Audit, Manage team in US and overseas
  • Completed the development work to help Barclays adopt the Advanced Internal Rating (AIRB) approach for regulatory capital reporting for the Consumer Card portfolio through the implementation of a compliant mode suite to Supervisory Statement | SS11/13, Capital Requirement Regulation (CRR), recent tightening in regulatory requirements, including all aspects of the European Banking Authority (EBA) guidelines and Regulatory Technical Standards (RTS)
  • Successfully completed the Internal and external Audit of the model suite, which includes Probability of Default (PD), Exposure at Default (EAD), Loss Given Default (LGD), to ensure smooth Prudential Regulation Authority (PRA) submission
  • Build and deploy Point-in-time (PiT) PD model for Acquisition strategy with Regulatory compliant Adverse Action codes
  • The New models provides a net $40m Net Credit Loss reduction on an annual basis
  • Assessed the impact of an economic downturn on Risk Weighted Assets (RWA) under Pillar-One to ensure that business is well informed and understands the impact of the current asset base on Capital in case of a stress event in accordance with the Basel Accord
  • Successfully complete the yearly audits by KPMG for Impairment for Expected Credit Loss (ECL) computed under IFRS9 (International Financial Reporting Standard)
  • Complete BoE, MTP and IST yearly submissions from 2019 to 2021 and help stakeholders and firm create the income statements balance sheets, capital ratios and subsequently helped the business to make improved strategic decisions
  • Maintain the compliance and mitigate Risk for the firm by ensuring the Model Monitoring for all the Capital and Impairment models follows a fixed calendar
  • Managed technical relations with Auditors (KPMG)
  • Responsible for Barclay’s technical and financial regulatory compliance for Impairment
  • Statistically determined the impact of COVID-19 pandemic on credit RWA, portfolio’s credit quality
  • Strategically help drive better business decision for making new deals by understanding the Regulatory Capital (RC), relationship between Point-in-time( PiT) PD and RWA to balance ratio
  • Initiated and remained involved with the model development work for current expected credit loss (CECL) to confirm to Generally Accepted Accounting Principles (GAAP)
  • Reduced operational risks while organizing data to forecast performance trends.
  • Spearheaded innovative approaches to resource allocation and strategic planning.
  • Leveraged professional networks and industry knowledge to strengthen regulatory relationships.

VP Capital, Impairment, Forecasting

Barclays
11.2015 - 12.2018
  • Responsible for entire Barclay’s Card and Loan business for Regulatory Capital, Impairment, Forecasting, Meeting statutory objectives of FPC and PRA
  • Develop and Implement IFRS9 model suite-Probability of Default (PD), Exposure at Default (EAD), Loss Given Default (LGD) and Probability of Survival (P(S)) to compute the Expected Credit Loss to comply with the (FASB)
  • The model suite comes with PD, EAD LGD and significant-increase-to credit-risk (SICR) criteria as mandated under IFRS9
  • Develop and Implement Forecasting and Stress Testing Model Suite, a forward-looking macroeconomic scenario a quantitative assessment of the capital adequacy to help Barclays to successfully submit Bank of England (BoE) Stress tests as established by the Financial Policy Committee (FPC) and Prudential Regulation Authority (PRA)
  • Develop and Implement model suite to forecast Expected Loss and Impairment Dollar and rate over a five-year outlook to complete Medium Term Plan (MTP) and Internal Stress Test (IST) to guide business and strategy decisions and portfolio management purposes
  • The models are used in the creation of the income statement and balance sheet projections that ultimately determine the capital ratios of the firm over the forecast horizon
  • Manage a suite of Capital Requirement Directive IV (CRD IV) compliant PD, EAD and LGD models to compute Risk-Weighted asset (RWA) for capital reporting
  • The model suite is used as the primary credit risk management tool for account level exposure management, portfolio level management, and credit risk reporting

Senior Vice President, SVP - Quantitative Modelling Manager

Bank of America
08.2011 - 11.2015
  • Lead Credit Underwriting Risk Analytics across segment and products, Exposure Management, Relationship Modeling and Analytics, Implementation, Monitoring and Tracking, Compliance, Ongoing Research and Development, Platform Conversion, Lead talented team, Recruit and Coach new talent
  • Managed and delivered projects to support 2015 initiatives with an estimated $214m incremental NIBT
  • Lead a team to deliver Models for to support optimal line decision, collaborated and found solution to challenges along the way
  • Created and rolled out new Random Line Test Design to support more robust and better model development for Line Management Strategies
  • Spearheaded and delivered the first Relationship Risk Score at the bank, using enterprise customer data: trended, daily, transactional and trigger-based, in 2013 to enable expanded Buy-Box and Relationship Deepening across card and deposits
  • The Score will yield $7.3mm Incremental NIBT
  • Developed and Implemented new Acquisition Risk Score card for Direct Mail and Invitation to apply channel in 2012, potential impact $55mm in loss reduction
  • Integrate new data / models into prospecting (Prospect DB and Franchise) supporting buy-box expansion, including improved penetration of Distressed / Emerging Credit customers
  • Build and Implemented Judgmental Routing tool, Early Month on Book Credit Abuse Detection model, to significantly reduce the dollar losses, potential loss reduction of $9mm annually
  • Managed LGD Models using account level and macro-economic data for Acquisition Models

VP – Quantitative and Analytics Global Card Services

Bank of America
02.2009 - 08.2011
  • Develop, Execute and Maintain Portfolio and Acquisition Risk Modeling for Card and Small Business, Drive business strategy using data-driven analytics, Compliance functions, Model Implementation, Ongoing Research and Development, Lead talented team, Recruit and Coach new talent
  • Build and Implemented Acquisition Risk Model for unsecured card potential impact $20mm
  • Delivered the Portfolio Risk Score for Card Customers, to improve account management, portfolio valuation and pricing strategies
  • Designed the Implementation Plan and collaborated with technology to successfully deploy the model
  • Enhanced data mining and analysis by creating an automated routine to process 2000+ variables by reducing run time from 2 days to 4 hours
  • Championed the Small Business Risk Model for acquisition strategies, the model improved the performance (19% incremental lift) and simplified strategies
  • Achieved 100% Compliance by completing monitoring and tracking of 50 plus Risk Score
  • Created the Project Charter Template, a systematic method to define the scope and objectives of a project
  • The Project charter being used by modelers and project management teams

VP – Analysis and Information Management

Bank of America
01.2006 - 02.2009
  • Portfolio Valuation Tools, Expected Loss Dollars, Customer Level Profitability Score, Design of Experiment, Manage Talented team, Recruit and Coach new talent
  • Developed, implemented and owned the future looking Expected Dollar Loss Component for Card using innovative statistical analytics, the tool was generated by 'bottoms up account driven capabilities' to achieve rigorous portfolio level precision requirements
  • Managed and supported the monthly account level profitability tool which provides the core performance data supporting Risk Strategies, Quantitative Operations, Testing, Modeling, and Business Intelligence
  • Created the test design for new marketing campaign involving the launch of the new key-phone devices using experimental design
  • The campaign was launched in August 06
  • Developed, tested and owned the Customer level profitability score for hybrid strategies used by pricing

Senior Strategy Analyst – Portfolio Management

Bank of America
05.2003 - 01.2006
  • Create Risk Tools for Portfolio, Implement Risk Score Cards, Ensure OCC compliance for Risk Scores, Support BASEL for Capital Management
  • Worked on the bank’s first Customer Level Risk Score to be used for account management and pricing strategies for Credit Card and Consumer Finance Portfolios
  • Worked with technology to implement Customer Level Risk score and perform end to end UAT
  • Automated modeling modules to generate monitoring and tracking reports as per OCC guidelines
  • Created risk model for predicting the second-year dollar loss amount
  • Assembled data to Support BASEL 2 framework
  • Performed advanced analytics to identify key homogenous segments for BASEL modeling
  • Involved with creating Probability to Default, Loss given default models for BASEL, loan loss reserves
  • Produced detailed and relevant reports for use in making business decisions.

Technical Head

NIIT
07.1997 - 07.2001
  • Design and coordinate course curriculum for 200+ students, Build and Manage Windows NT Server
  • Trained and coached highly skilled technical faculty members to deliver classes to students
  • Set up Windows NT Server 4.0 for the institute
  • Improved systems with addition of new features and infrastructure.

Education

M.S. - Applied Economics and Statistics

University of Delaware
Newark, DE
05.2003

Skills

  • Quantitative Modeling & Analytics
  • Model Implementation & Validation
  • Regulatory Compliance (Basel, IFRS 9, CECL)
  • Risk Management & Credit Strategies
  • Forecasting Capital, Impairment and Delinquencies Roll Rate Models
  • Medium-Term & Capital Planning
  • Machine Learning & AI for Finance
  • Stakeholder & Regulatory Engagement

Other

  • Filed and Published Patent: US Patent Application 20130054345 - DATA MINING
  • Co–chair of Asian Leadership Network at BofA, received a Global Nomination for helping and promoting Diversity at Bank of America.
  • One of the top 5% Performers at Bank of America over the years.

Timeline

Director, Head of Capital, Impairment Forecasting

Barclays
12.2018 - Current

VP Capital, Impairment, Forecasting

Barclays
11.2015 - 12.2018

Senior Vice President, SVP - Quantitative Modelling Manager

Bank of America
08.2011 - 11.2015

VP – Quantitative and Analytics Global Card Services

Bank of America
02.2009 - 08.2011

VP – Analysis and Information Management

Bank of America
01.2006 - 02.2009

Senior Strategy Analyst – Portfolio Management

Bank of America
05.2003 - 01.2006

Technical Head

NIIT
07.1997 - 07.2001

M.S. - Applied Economics and Statistics

University of Delaware

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