NARESH GARG, CFA, FRM

New York, NY 929-***-**** ad1k4a@r.postjobfree.com https://www.linkedin.com/in/nareshgarg1/ EDUCATION

NEW YORK UNIVERSITY, Leonard N. Stern School of Business New York, NY Master of Business Administration May 2025

Specializations in Finance, Strategy, and Entrepreneurship

● Member, Graduate Finance Association; Winner, J.P. Morgan Case Competition;

● AVP – Finance, Stern Student Government

NATIONAL INSTITUTE OF TECHNOLOGY, ALLAHABAD Prayagraj, India Bachelor of Technology in Biotechnology May 2015

● Scored in the top 1% among 1.2 million candidates on All-India Engineering Entrance Examination, 2011

● Recipient of full-tuition and stipend scholarship by State Government, Uttar Pradesh EXPERIENCE

BARCLAYS Noida, India

Assistant Vice President – Quantitative Analytics 2021 - 2023

● Led 5-person regulatory modeling team for €10B mortgage portfolio, providing inputs in calculating risk-weighted assets and capital requirements, saving ~€150M in capital reserves and re-allocating it to revenue-generating projects

● Saved ~$40M in annualized fraud losses and improved fraud detection rate by ~30% for a credit card portfolio by developing third-party application fraud model to identify fraudulent applications

● Established robust communication channels with PWC and KPMG, ensuring a comprehensive understanding of new regulations and translating regulatory requirements into actionable strategies for the technical team

● Spearheaded initiative to standardize all legacy codes and managed 12-member team of programmers to assist in complete transition from proprietary SAS to open-source Python, achieving ~£2M per year in license fee savings IMGC (India's first mortgage insurance company) Noida, India Chief Manager – Risk Analytics 2019 - 2021

● Established centralized risk management and analytics function and led cross-functional initiatives to improve operational efficiency, reduce losses, and provide strategic insights to business, resulting in ~2x increase in revenue

● Developed IMGC’s first application scorecard, leveraged as input in strategic initiatives such as automated underwriting, loan pricing, risk grade computation, complexity-based case allocation, and sampling for internal audit

● Undertook first-ever automation initiative and led cross-functional team, automating ~75% of total caseload, standardizing underwriting process, reducing losses due to human errors, and improving underwriting efficiency by 4x

● Built first loss forecasting model to estimate annualized losses at portfolio level, reducing ~ 10M or ~$150K per quarter in redundant capital reserves previously required due to frequent revisions from inaccurate forecasts

● Performed risk management and data due diligence, and collaborated with IMGC Finance team to raise new capital from Sagen MI, a portfolio company of Brookfield Asset Management

● Created sales pitch presentations for prospective lending partners and directed sales pitch discussions, bringing in 8 new clients during Covid pandemic, increasing business volumes by ~40% (~ 8B or ~$120M annualized) EXL INDUCTIS (Risk consulting for Citibank) Gurgaon, India Senior Consultant – Decision Analytics 2018 - 2019

● Led teams of analysts and consultants on diverse Risk Management and Data Analytics initiatives in client-facing settings across multiple geographies, lending products, and functions such as Risk, Sales, Marketing, and Operations

● Devised novel loss forecasting methodology for ~$80B book and led 4-member team to create automation tool for Citibank’s CRO, strengthening the EXL-Client relationship and increasing account size by 10%

● Built recovery models for post-charge-off population for $1.5B recovery book, allocating cases to in-house recovery agents based on recovery probability score and reducing third-party agency costs by ~$600K per year Consultant – Decision Analytics 2015 - 2018

● Increased monthly auto-approved application volumes by 5% and annualized revenues by ~$36M, developing underwriting decision model for subprime population to predict probability of default at acquisition

● Boosted revenues for client credit card portfolio by ~$10M per quarter by devising strategy for authorizing over-the- limit and delinquent transactions for borrowers previously demonstrating strong repayment behavior

● Designed strategies to catch first-party credit abusers and cut down payment verification time by predicting potential credit abusers, reducing first-party fraud losses by ~$2M annually ADDITIONAL INFORMATION

● Technical: MS-Excel, MS-PowerPoint, and Power BI

● Volunteer Experience: Curriculum Developer and Tutor at Evidyaloka Trust, India’s leading e-learning non-profit platform for underprivileged children; Volunteered at Kitchen for Paws, an animal welfare initiative to feed stray dogs

● Interests: Quizzing (ranked 54th in International Mathematics Olympiad, Science Olympiad Foundation, New Delhi); Trekked across North India, Nepal, and Bhutan; Singing (co-founded a Bollywood cover band); Short story writer

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