---
title: "Kundan K. - Sr. Vice President - ML & AI Lead - Fraud & Financial Crime in Bengaluru | Tal"
description: "Meet Kundan K., ML & AI Lead @ NatWest Group | ex-McKinsey & Company | ex-Quantumblack | AI/ML Transformations & Intelligent Automations | Fraud & Risk | AI-Powered Engineering & SDLC Automations | FinTech | AWS | Databricks based in Bengaluru. AI stack includes antigravity and opencode. Explore pu..."
image: "https://tal.club/meet/kundan-k-1/share-image"
---

# Kundan K\. on Tal

## Headline

ML & AI Lead @ NatWest Group \| ex\-McKinsey & Company \| ex\-Quantumblack \| AI/ML Transformations & Intelligent Automations \| Fraud & Risk \| AI\-Powered Engineering & SDLC Automations \| FinTech \| AWS \| Databricks

## About

I am a Data & AI leader with 12\+ years of experience delivering enterprise\-scale Data, Machine Learning, and AI transformations across banking, insurance, healthcare, and manufacturing in the US, UK, and Middle East\. I specialize in taking AI solutions from strategy to production—designing secure, scalable, cloud\-native systems and embedding them into real business workflows to drive measurable impact\. Operating at the intersection of AI strategy and enterprise transformation, combines deep hands\-on engineering with a consulting mindset to rapidly translate customer needs into production AI systems, lead cross\-functional teams, and drive successful enterprise AI adoption\. I partner with senior business and technical leaders to define AI roadmaps, design target\-state architectures, and build production\-grade platforms\. My focus centers on cutting\-edge AI/ML engineering, strong stakeholder alignment, clear ownership, and reliable delivery, enabling organizations to confidently scale AI across the business\. Additionally, I thrive on building and mentoring high\-performing engineering teams, creating meaningful impact through technology, collaboration, and continuous learning\. My 7\.5 years at McKinsey deeply instilled a global mindset focused on agility, strategic growth, and client\-centricity, most importantly, it taught me that successful execution is always human\-driven\.

## Location

Bengaluru

## AI stack

antigravity

opencode

## Work experience

Sr\. Vice President \- ML & AI Lead \- Fraud & Financial Crime at NatWest Group, Sep 2024 \- Present · 2 yrs, Bengaluru, Leading fraud and financial crime prevention across payment journeys and digital channels, delivering high impact through real\-time fraud detection, AI\-powered fraud investigation and decisioning automation, and scalable MLOps\. I build and deploy fraud profiling models into production, pioneer AI agents to enhance fraud investigation and decisioning for efficient and scalable operations, lead the development of next\-generation AI\-driven fraud intelligence platforms\. Additionally, I lead and mentor a global team of 20\+ data & AI specialists across UK & India, scaling secure, compliant AI capabilities across the enterprise\.

Jr\. Principal Data Consultant, QB at McKinsey & Company, Jun 2022 \- Aug 2024 · 2 yrs 3 mos, Bengaluru, Data & AI expert with \~7\.5 years of experience at QuantumBlack, McKinsey & Company\. Led 10\+ high\-impact client engagements and contributed to 5\+ asset developments\. Progressed from an Engineer to an Expert\. \- Led end\-to\-end delivery of data and AI solutions for global clients across banking, insurance, life sciences, and manufacturing in the US, UK, APAC and Middle East regions\. Provided hands\-on technical leadership across Data Product Engineering, AI transformation programmes, DataOps, and MLOps, collaborating with cross\-functional teams of data scientists, ML engineers, data engineers, translators, and business stakeholders across multiple geographies in client\-facing leadership roles\. \- Accelerated AI product development by designing modular, reusable code assets that improved delivery speed by \~50%\. Built frameworks for data anonymisation, scalable data transformations, automated validation pipelines, and CI/CD templates to enable reliable deployment and operationalisation of data and ML workflows\. \- Led technical delivery and stakeholder management, including scoping initiatives, defining architecture and execution plans, managing timelines, aligning senior stakeholders, and ensuring high\-quality end\-to\-end delivery\. \- My 7\.5 years at McKinsey deeply instilled a global mindset focused on agility, strategic growth, and client\-centricity\. Most importantly, it taught me that successful execution is always human\-driven\.

Senior Data Consultant, QB at McKinsey & Company, Jun 2020 \- May 2022 · 2 yrs, Gurugram, Haryana, India

Data Consultant, QB at McKinsey & Company, Jun 2018 \- May 2020 · 2 yrs, Gurugram, Haryana, India

Product Engineer \- Retail Analytics Platform at Ugam, Aug 2015 \- Jan 2017 · 1 yr 6 mos, Bangalore, India, As part of the data product team, contributed significantly to development of large scale retail product and pricing intelligence platform to serve retail & consumer clients with better pricing decisions, margin optimizations and category management\. \- Contributed to platform features like product match and recommendation engine, taxonomy traversal, etc\. Gained good experience in handling huge datasets through distributed streaming systems like Storm, Kafka, GraphDB, Elasticsearch,etc\. \- Developed scalable applications and utilities using map\-reduce programming, java multithreading, dynamic configuration loading concepts\. Worked in a an agile product team, acquired good knowledge of agile methodologies for software development lifecycle management\.

Associate Software Engineer at Torry Harris Business Solutions, Jul 2013 \- Jul 2015 · 2 yrs 1 mo, Bangalore, India, Served in the centre of excellence \(COE\) as a Big Data Engineer, responsible for exploring cutting edge big data technologies like Hadoop, Hive, Spark, etc to enhance firm’s capabilities and service offerings in the data domain\. \- As part of product initiative developed large scale log monitoring/ IOT data processing capabilities using technologies such as Hadoop, Pig, Hive, etc for a telecom client\. Gathered requirements and performed gap analysis through design workshops with users\. \- Additionally contributed to a NLP based Text mining application\.

## Education

Bachelor of Engineering \(B\.E\.\), Information Technology, Visvesvaraya Technological University

## Public links

- github: https://github\.com/xundan91

[View the original profile](https://tal.club/meet/kundan-k-1)

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