Guest lectures · Full courses · Corporate training

Ankur Garg

Bringing industry experience into the classroom — making learning real, and making it easy.

Finance, AI & technology practitioner who teaches what happens after the model is built — how it gets approved, deployed, and actually used.

Deep experience solving real-world problems with technology across finance, data, and AI — bridging the gap between what academia teaches and what industry demands. Available for two kinds of engagement: guest lectures and full courses for business and technology programmes, and in-company corporate training for institutes and organisations that want their teams taught by a practitioner.

IIT Kanpur — B.Tech, EE ’96 IIM Bangalore — MBA Finance ’98 Georgia Tech — MS Analytics ’16

Areas

Primary areas
1AI / ML
2Agentic AI
3Quantitative Finance
4Game Theory
5Decision Sciences
6Operations Research

Detailed and supporting topics — Options & Futures, Statistics, Python / R, Transformers & Deep Learning, GenAI for Managers, and more — are listed under Teaching topics below.

Invite for a guest lecture / course → Enquire about corporate training → LinkedIn profile ↗

Teaching: Guest Lecturer, IIM Lucknow  ·  IIT Kanpur State Teacher Capability Building  ·  Qualified for guest lecturing, BITS Pilani WILP

Founder, Avnius Tech (company site coming separately)

AIR 240IIT-JEE — out of ~300,000 candidates; NTSE scholar
>$20BCredit portfolio — CECL loss forecasting led at Capital One
>$15B / dayFX trading volume — platform scaled at Integral
1,000+Attendees at DES24, Bangalore — data engineering talk, 2024

I don’t just teach theory. I teach what happens before an agreement to execute — defining the problem — and what happens after the product is ready: how you get it built, approved, deployed, and used, and how you communicate the value of the output.

That arc — problem definition, organisational navigation, adoption, and self-advocacy — is where practitioners differentiate themselves in organisations, and it runs through every session, from Monte Carlo simulation to agentic AI.

Teaching & speaking

Headline credentials first — IIM Lucknow and IIT Kanpur — followed by a recent BITS Pilani WILP qualification and other classroom and conference work.

Headline credential
IIM Lucknow — Guest Lecturer PGP Quantitative Methods & Weekend PGP Decision Making, March 2026. Simulation, Monte Carlo & stochastic LP.
Headline credential
IIT Kanpur — State Teacher Capability Building Decision making, Gen AI and Agentic AI for state teachers.
Recently qualified
BITS Pilani WILP — Qualified for Guest Lecturing Qualified for guest lecturing with BITS Pilani WILP (Work Integrated Learning Programmes).
Headline credential

Indian Institute of Management Lucknow

Guest Lecturer — PGP, Quantitative Methods
March 2026 · Lucknow
  • Two 45-minute sessions on Simulation in Credit Card Underwriting for first-year MBA students — a mix of engineering and commerce backgrounds.
  • Session 1 — Monte Carlo simulation: building uncertainty into credit scoring (CIBIL), constructing NPV distributions across 1,000 scenarios, and stress-testing approval policies in Excel.
  • Session 2 — Stochastic linear programming: connecting simulation outputs to a real LP formulation managing approval rates, credit limits, and a financial-inclusion constraint across five customer segments.
  • Built a self-contained browser tool — no installation, no server — so students could adjust policy sliders and watch the LP re-optimise in real time. Also produced a full instructor guide and Excel workbook for reuse.
Monte CarloStochastic LPCredit riskExcel + browser tool

IIM Lucknow — Weekend PGP

Guest Lecturer — Decision Making
March 2026

Cascaded decision making using numerical techniques and linear programming — for working executives in the Weekend PGP programme.

Cascaded decisionsNumerical techniquesLP
Headline credential

Indian Institute of Technology Kanpur

State Teacher Capability Building Programmes
IIT Kanpur

Sessions on decision making, Generative AI, and Agentic AI as part of IIT Kanpur’s State Teacher Capability Building programmes.

Decision makingGen AIAgentic AI
Recently qualified

BITS Pilani WILP

Qualified for Guest Lecturing — Work Integrated Learning Programmes
Recently qualified

Recently qualified for guest lecturing with BITS Pilani WILP (Work Integrated Learning Programmes).

BITS PilaniWILPGuest lecturing — qualified

Data Engineering Summit — DES24

Speaker — Analytics India Magazine
2024 · Bangalore
  • Spoke at India’s dedicated data engineering conference — 1,000+ attendees, thirty-plus speakers.
  • Talked through real data architecture decisions at Booking Holdings and Capital One — what it takes to move analytics from on-prem to cloud at scale, and where the theory-to-practice gap bites hardest.
Data architectureCloud migrationScale

Teaching inside companies is a track of its own — see Corporate training below.

Corporate training

The second track: in-company training for organisations. Long before the guest lectures, Ankur was building and teaching courses inside the companies he worked at — designing the curriculum, then standing in front of the whole workforce to deliver it. That is the offer here: practitioner-led training for your team, in his primary areas.

Headline corporate training

Integral — Forex Trading Course

Created & taught in-company, Integral India
2 full years
  • Created a Forex trading course from scratch and taught it for two full years — designing and delivering trading-mechanics coursework to all employees at Integral India.
  • Taught while leading the FX platform itself — the same platform that scaled to >$15B in daily trading volume — so the course covered how trading actually works in production, not how it reads in a textbook.
Forex / FX tradingTrading mechanicsCourse design & deliveryAll-employee programme

Booking — AI Curriculum for Fintech

Curriculum & teaching-delivery planning, Booking India
Booking India
  • Led AI curriculum and teaching-delivery planning for Fintech in the Booking India office — deciding what a payments and fintech organisation needs its people to know about AI, and how to teach it.
  • Led knowledge-sharing initiatives at Booking and ran its data community — the ongoing internal teaching layer, not just one-off sessions.
AI curriculumFintechKnowledge sharingData community

Knowledge sharing across organisations

Internal teaching & capability building
1998–2026

Across his roles, Ankur has led knowledge-sharing initiatives at multiple organisations — building internal capability in the teams around him alongside the formal courses above.

Capability buildingInternal programmes

Training themes

What Ankur can train your team on
AI / ML Agentic AI Gen AI & Agentic AI for Managers Quantitative Finance Trading mechanics Game Theory Decision Sciences Operations Research

Teaching topics — detailed & supporting

Supporting and detailed topics underneath the six primary areas above — AI / ML, Agentic AI, Quantitative Finance, Game Theory, Decision Sciences, and Operations Research. Available as single guest sessions, short modules, or full courses, tailored for MBA, executive, and tech / AI programmes.

01 — Finance, Operations Research & Management

Quantitative & managerial core

  • Quantitative Finance
  • Game Theory
  • Decision Sciences
  • Operations Research
  • Options and Futures Trading
  • Core and Applied Statistics
  • Advanced Numerical Techniques — simulation, optimisation, LP
  • Gen AI and Agentic AI for Managers
  • Organisational Navigation — succeeding in corporations
02 — Core Technical

Modern AI & analytics stack

  • Python & R — for analytics and modelling
  • AI / ML — end to end
  • Transformers & Deep Learning
  • Edge AI
  • Statistical Modelling & A/B Experimentation
03 — Industry Readiness

From classroom to production

  • Production Best Practices
  • Building for Scale
  • Getting Users to Adopt Your Output
  • Self-Advocacy — communicating value
04 — Strategic & Responsible AI

Strategy, ethics & impact

  • Innovation Strategy
  • Ethical AI
  • Translating Research into Real Business Impact

Background

Three degrees across engineering, management, and analytics — and nearly three decades building financial and AI systems at scale.

Education

Georgia Institute of Technology

M.S. in Analytics — Machine Learning, AI & Analytical Methods
Atlanta, GA, USA · 2015–2016

Indian Institute of Management Bangalore

MBA — Finance and General Management
Bangalore, India · 1996–1998

Indian Institute of Technology Kanpur

B.Tech., Electrical Engineering
Kanpur, India · 1992–1996
  • All India Rank 240 out of roughly 300,000 candidates in the IIT-JEE.
  • National Talent Search Scholarship — awarded annually to 750 students across India by NCERT.

Skills & tools

Technical

PythonRSQLPySparkMachine LearningStatistical ModelingA/B ExperimentationLLMsGenAI & Agentic AIAWSSnowflakeDatabricksTableau

Leadership & product

Product Strategy & RoadmapsOKR FrameworkGo-to-Market StrategyCross-functional LeadershipExecutive CommunicationHiring & Org Building

Experience — in brief

Booking Holdings

Head, Data Science & Analytics — Fintech India
Bangalore · Aug 2023 – Apr 2026

Led AI and analytics for a new payments entity end-to-end — growing onboarding TAM by >€400M, pioneering commercially aware agentic AI for regulatory analytics, architecting a layered platform that lifted delivery velocity by >100%, and completing on-prem-to-cloud migration.

Capital One

Senior Business Manager, Credit Risk · Senior Data Analysis Manager, Small Business Lending
McLean, VA, USA · Sep 2016 – May 2023

Led CECL loss forecasting for a >$20B portfolio through the COVID credit cycle; built a no-touch AWS pipeline cutting forecast time from 5+ weeks to 2 days. Earlier, led cloud transformation across 120+ processes for a $3B+ lending portfolio.

Goldman Sachs

Vice President, Technology — Asset Management
Bangalore · Sep 2010 – Jul 2015

Led post-trade intent analytics and compliance models for a >$500B AUM portfolio — cutting false exceptions by 80% and eliminating 6,000+ false flags a year; built near real-time regulatory reporting for Indian markets.

Integral

Director, Product Management
Bangalore · Feb 2003 – Sep 2010

Drove FX trading products from zero to >$15B daily volume and >$50M annual revenue — over $2 trillion traded under his stewardship — leading product, pre-sales, and a team of product managers and designers.

Earlier roles

1998–2003

Entrepreneurship in e-commerce; market research for Sasken Technologies; business analysis for Citigroup Technologies (now Oracle Financials).

Invite Ankur to teach — or to train your team

For institutes: guest lectures and full courses at business and tech / AI programs across India — in Quantitative Finance, Statistics, Numerical Methods, and Gen AI & Agentic AI for Managers. For organisations: in-company corporate training in AI / ML, Agentic AI, Quantitative Finance, and trading mechanics, built around your team. A short note with your programme or team, audience, and preferred dates is enough to start.

Invite for a guest lecture / courseankurg48@gmail.com Enquire about corporate trainingankurg48@gmail.com LinkedInlinkedin.com/in/ag-ankurgarg