Anmol Saxena profile photo 1 on Tal

Anmol Saxena

Ex-Head of Engineering @ Auquan | Ex-Morgan Stanley Director | Ex-GS Quant | I build enterprise AI that ships

Bengaluru, Karnataka

10+ years of work experience

Auquan
Apr 20241 yr 8 mosNov 2025

Bangalore Urban

• Executive Leadership for 15-person engineering org at 2025 Gartner Cool Vendor and CB Insights AI 100 company; strategic partner to CEO on product roadmap and GTM strategy serving 40% of the top 50 global financial services firms • Architected multi-agentic AI framework that reduced enterprise implementation by 90% (4 weeks to 3 days); accelerated sales velocity and drove significant revenue growth by unlocking previously unviable enterprise segments • Technical closer for $1M+ ACV contracts with tier-1 Private Credit and Asset Management institutions; translated complex AI capabilities into clear business value and ROI for PE firms and asset managers • Led company from zero to ISO 27001 and SOC 2 Type II in 8 months; accelerated deal cycles with top-tier PE firms previously blocked by compliance gaps • Built Azure AI infrastructure; reduced inference costs 40% through architecture optimization; platform deployed via Microsoft Azure Marketplace
Morgan Stanley
Sep 20194 yrs 8 mosApr 2024

Mumbai Metropolitan Region

• Directed 20+ senior engineers across 150+ person Capital and Treasury Technology org and strategic roadmap across London, NYC, Budapest, and Mumbai • Two-time recipient of Morgan Stanley Firm Value Award (<2% of employees annually) for delivering real-time risk analytics that improved capital efficiency by $50M+ • Led technology overhaul for CSDR and TMPG regulatory compliance; built "Fails FTP" system managing $0.5B+ in annual Financing PnL—this became my crash course in why enterprise software fails: compliance, integration, stakeholder trust • Transformed monolithic systems to microservices architecture; reduced P1 incidents 60% and deployment frequency from monthly to daily. Learned that technical excellence without business alignment is worthless • Made the hard call to sunset a $2M legacy system mid-project when requirements shifted—rebuilt trust with stakeholders by delivering replacement in half the original timeline
Bank of America Merrill Lynch
Jan 20181 yr 9 mosSep 2019

Mumbai, Maharashtra, India

• Founding member of Equity Swap team; architected the technical and organizational framework (tech stack selection, hiring rubric, development standards) that enabled team to scale from 0 to 40+ developers in under 2 years • Led core engineering squad (3 direct reports) during initial high-growth phase; built scalable low-touch Equity Swap booking system serving major Hedge Funds and Pension Funds • Developed automated structuring models for high-frequency client workflows; reduced manual trade booking time from 2 hours to 5 minutes, enabling business to scale client volume 10x without proportional headcount growth
Goldman Sachs
Jan 20175 mosMay 2017

Bangalore

• Recruited for high-stakes derivative pricing role; successfully delivered core infrastructure expansion before pursuing leadership track at Bank of America • Priced, rebalanced, and reconciled Single Stock Equity Indices benchmarked on MSCI factor indices; expanded infrastructure to support 200 derivative indices from 18 base portfolios across regions, currencies, and universes with zero pricing errors in production
Goldman Sachs
Aug 20166 mosJan 2017

Bangalore

• Joined Equities division as quantitative engineer; built foundation in derivative pricing and index management that led to promotion to Senior Analyst • Developed pricing models and reconciliation systems for equity derivatives; maintained zero pricing errors across complex multi-currency portfolio structures
Morgan Stanley
Jan 20168 mosAug 2016

Mumbai Area, India

Worked on the strategic implementation of DSL Credit Derivatives Warehouse for risk, operations and finance data reconciliation and control within Morgan Stanley.
Morgan Stanley
Jan 20151 yr 1 moJan 2016

Mumbai, Maharashtra, India

Worked on the strategic implementation of DSL Interest Rate Derivative and Cash Warehouse for risk, operations and finance data reconciliation and control within Morgan Stanley. Technologies worked on: Java, Scala, SQL, Shell Asset Classes exposed to: Vanilla Swaps, Swaptions, Currency Swaps, various types of Bonds
Morgan Stanley
Apr 201410 mosJan 2015

Mumbai Area, India

Worked on the strategic implementation of DSL Loans DataWarehouse for regulatory and risk compliance measures within Morgan Stanley. Technologies worked on: In-house ETL tool, SQL, Shell Asset classes exposed to: Primary and Secondary Corporate Loans, Liquidity Access Line

Anmol’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
codex
codex
cursor
cursor
gemini
gemini

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology (B.Tech.), Metallurgical and Materials Engineering

Indian Institute of Technology, Roorkee

20094 yrs2013
Saint John's Senior Secondary School

Senior Secondary Education (XIIth class), AISSCE

Saint John's Senior Secondary School

20072 yrs2009

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Headline

Ex-Head of Engineering @ Auquan | Ex-Morgan Stanley Director | Ex-GS Quant | I build enterprise AI that ships

About

I am a results-oriented engineering leader with over 12 years of experience building high-performance organizations at firms like Morgan Stanley, Goldman Sachs, and Bank of America. Most recently, as Head of Engineering at Auquan, I architected production-grade AI infrastructure that accelerated enterprise implementation by 90% and unlocked millions in new ARR. My expertise lies in bridging the gap between complex technical strategy and commercial outcomes, managing large global teams, and ensuring rigorous operational excellence through compliance and scaling. I specialize in building, mentoring, and leading engineering teams that consistently deliver measurable business value in fast-paced, high-growth environments.

Location

Bengaluru, Karnataka

AI stack

anthropic apis

claude code

claude

codex

cursor

gemini

Work experience

Head of Engineering at Auquan, Apr 2024 - Nov 2025 · 1 yr 8 mos, Bangalore Urban, • Executive Leadership for 15-person engineering org at 2025 Gartner Cool Vendor and CB Insights AI 100 company; strategic partner to CEO on product roadmap and GTM strategy serving 40% of the top 50 global financial services firms • Architected multi-agentic AI framework that reduced enterprise implementation by 90% (4 weeks to 3 days); accelerated sales velocity and drove significant revenue growth by unlocking previously unviable enterprise segments • Technical closer for $1M+ ACV contracts with tier-1 Private Credit and Asset Management institutions; translated complex AI capabilities into clear business value and ROI for PE firms and asset managers • Led company from zero to ISO 27001 and SOC 2 Type II in 8 months; accelerated deal cycles with top-tier PE firms previously blocked by compliance gaps • Built Azure AI infrastructure; reduced inference costs 40% through architecture optimization; platform deployed via Microsoft Azure Marketplace

Director at Morgan Stanley, Sep 2019 - Apr 2024 · 4 yrs 8 mos, Mumbai Metropolitan Region, • Directed 20+ senior engineers across 150+ person Capital and Treasury Technology org and strategic roadmap across London, NYC, Budapest, and Mumbai • Two-time recipient of Morgan Stanley Firm Value Award (<2% of employees annually) for delivering real-time risk analytics that improved capital efficiency by $50M+ • Led technology overhaul for CSDR and TMPG regulatory compliance; built "Fails FTP" system managing $0.5B+ in annual Financing PnL—this became my crash course in why enterprise software fails: compliance, integration, stakeholder trust • Transformed monolithic systems to microservices architecture; reduced P1 incidents 60% and deployment frequency from monthly to daily. Learned that technical excellence without business alignment is worthless • Made the hard call to sunset a $2M legacy system mid-project when requirements shifted—rebuilt trust with stakeholders by delivering replacement in half the original timeline

Senior Analyst at Bank of America Merrill Lynch, Jan 2018 - Sep 2019 · 1 yr 9 mos, Mumbai, Maharashtra, India, • Founding member of Equity Swap team; architected the technical and organizational framework (tech stack selection, hiring rubric, development standards) that enabled team to scale from 0 to 40+ developers in under 2 years • Led core engineering squad (3 direct reports) during initial high-growth phase; built scalable low-touch Equity Swap booking system serving major Hedge Funds and Pension Funds • Developed automated structuring models for high-frequency client workflows; reduced manual trade booking time from 2 hours to 5 minutes, enabling business to scale client volume 10x without proportional headcount growth

Senior Analyst at Goldman Sachs, Jan 2017 - May 2017 · 5 mos, Bangalore, • Recruited for high-stakes derivative pricing role; successfully delivered core infrastructure expansion before pursuing leadership track at Bank of America • Priced, rebalanced, and reconciled Single Stock Equity Indices benchmarked on MSCI factor indices; expanded infrastructure to support 200 derivative indices from 18 base portfolios across regions, currencies, and universes with zero pricing errors in production

Analyst at Goldman Sachs, Aug 2016 - Jan 2017 · 6 mos, Bangalore, • Joined Equities division as quantitative engineer; built foundation in derivative pricing and index management that led to promotion to Senior Analyst • Developed pricing models and reconciliation systems for equity derivatives; maintained zero pricing errors across complex multi-currency portfolio structures

Manager at Morgan Stanley, Jan 2016 - Aug 2016 · 8 mos, Mumbai Area, India, Worked on the strategic implementation of DSL Credit Derivatives Warehouse for risk, operations and finance data reconciliation and control within Morgan Stanley.

Senior Associate at Morgan Stanley, Jan 2015 - Jan 2016 · 1 yr 1 mo, Mumbai, Maharashtra, India, Worked on the strategic implementation of DSL Interest Rate Derivative and Cash Warehouse for risk, operations and finance data reconciliation and control within Morgan Stanley. Technologies worked on: Java, Scala, SQL, Shell Asset Classes exposed to: Vanilla Swaps, Swaptions, Currency Swaps, various types of Bonds

Associate at Morgan Stanley, Apr 2014 - Jan 2015 · 10 mos, Mumbai Area, India, Worked on the strategic implementation of DSL Loans DataWarehouse for regulatory and risk compliance measures within Morgan Stanley. Technologies worked on: In-house ETL tool, SQL, Shell Asset classes exposed to: Primary and Secondary Corporate Loans, Liquidity Access Line

Education

Bachelor of Technology (B.Tech.), Metallurgical and Materials Engineering, Indian Institute of Technology, Roorkee

Senior Secondary Education (XIIth class), AISSCE, Saint John's Senior Secondary School