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Deep Nagpal

@deepnagpal

Risk analytics director at Morgan Stanley who migrated credit risk monitoring from R to Python, cutting runtime by over 60%.

India
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At Morgan Stanley, I work on Wholesale IRB Credit Risk models, addressing conceptual soundness, methodology, and regulatory expectations. I directed the migration of monitoring code from R to Python, cutting runtime by over 60%.

I also lead monitoring cycles and designed procedures aligned with industry standards to support regulatory submissions. I work with Credit, IT, MRM, and Audit stakeholders on reviews and issue resolution.

At UBS Business Solutions (India) Private Limited, I validated accounting models affecting the bank’s balance sheet, including IFRS 9 hedge accounting models. My work included stress testing and PnL forecasting models, bond and interest rate swap valuations, and OLS regressions.

Earlier, I contributed to Indian economy research at HSBC and validated stress testing and credit risk models at Deloitte & Touche Assurance & Enterprise Risk Services India Pvt. Ltd. At Dell International services India Pvt. Ltd., I identified and implemented a methodology for defining confidence in a DFS penetration rate using a live online A/B test.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

CFA Institute logoCI

CFA Institute

CFA Level 1, Finance

Pursuing the CFA Level 1 certification, expected completion in 2026.

Global Association of Risk Professionals (GARP) logoGG

Global Association of Risk Professionals (GARP)

FRM Part 1, Risk Management

Completed the FRM Part 1 examination in 2025.

Delhi School of Economics, University of Delhi logoDD

Delhi School of Economics, University of Delhi

M.A., Economics

Grade: 66.13%

Completed M.A. in Economics with 66.13% marks.

Ramjas College, University of Delhi logoRD

Ramjas College, University of Delhi

B.A. (H), Economics

Grade: 70.90%

Completed B.A. (H) in Economics with 70.90% marks.

C.B.S.E. logoCB

C.B.S.E.

12th Standard, General

Grade: 93.20%

Completed 12th standard with 93.20% marks.

C.B.S.E. logoCB

C.B.S.E.

10th Class, General

Grade: 92.40%

Completed 10th class with 92.40% marks.

Tech stack

Software and tools used professionally

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