AI · DATA · FINANCIAL RISK · REGULATORY TRANSFORMATION

Saurabh Kakkar

AI, Data & Financial Risk Transformation Leader

Inventor · Author · Industry Evaluator · Speaker

Senior technology and transformation leader with 15+ years of experience across global banking, financial services and professional services, focused on responsible AI, regulatory data, risk analytics and enterprise transformation.

IEEE Senior Member Sigma Xi 2 Registered German Utility Models Best Paper Recognition
15+Years in global financial services and transformation
2Registered German utility models
10+Technology judging / hackathon engagements in portfolio
PublishedAuthor and researcher in AI, data and credit risk

Profile

Technology leadership at the intersection of AI, data and financial risk

Saurabh Kakkar is a senior banking technology, data, risk and transformation professional whose work sits at the intersection of enterprise-scale data platforms, financial regulation, artificial intelligence and responsible technology adoption.

Across his career, he has contributed to transformation programs at internationally recognized financial and professional-services organizations, including Santander, Credit Suisse, PwC, Citco Fund Services and Ernst & Young. His work emphasizes practical implementation: turning complex regulatory and technology requirements into governed, auditable and scalable enterprise solutions.

Beyond corporate leadership, his professional body of work spans intellectual property, scholarly authorship, peer review, innovation judging, conference speaking, mentoring and professional community engagement.

Leadership

Enterprise transformation in regulated financial environments

Career breadth

Global financial services experience

Credit SuisseFinancial markets & regulatory transformation
PwCTechnology, risk & transformation consulting
Citco Fund ServicesFinancial services & transformation
Ernst & YoungProfessional services & enterprise transformation

Innovation & intellectual property

Applied AI for banking, credit risk and regulated decision-making

A central theme of Saurabh's innovation work is the use of AI and machine learning to make financial-risk analysis more responsive, explainable and operationally useful in regulated environments.

German Utility ModelRegistered

AI-supported banking transaction analytics and dynamic credit-risk assessment

File No. 20 2025 106 354.9

Addresses the use of AI-supported analysis of transaction-level banking information to enable more dynamic approaches to credit-risk assessment and decision support.

AI/MLCredit RiskBanking DataDecision Intelligence
German Utility ModelRegistered

Machine-learning-based IFRS 9 expected-credit-loss forecasting

File No. 20 2026 100 348.4

Addresses machine-learning approaches to expected-credit-loss forecasting in regulated financial settings, with emphasis on analytical transparency, governance and explainability.

IFRS 9Machine LearningECLExplainability

“How can financial institutions capture the benefits of advanced AI while preserving the transparency, governance, auditability and regulatory accountability required in banking?”

This question connects Saurabh's innovation, research and enterprise work.

Authorship & research

Research and practical thought leadership

Book

AI/ML systems for credit risk in regulated banking

Saurabh is the author of a published professional book focused on the implementation of AI and machine-learning systems for banking credit risk, bringing together explainability, model governance, prudential regulation and enterprise implementation.

  • Explainable AI and responsible model use
  • Credit-risk analytics
  • IFRS 9 and Basel considerations
  • Model governance and auditability
  • Regulated-enterprise implementation
Scholarly work

Selected research themes

Explainable AICredit RiskGenerative AIResponsible AIRegulatory AnalyticsData GovernancePredictive RiskModel GovernanceFinancial AI

This public profile intentionally highlights published and completed work. Detailed paper citations, DOI links and publisher pages can be added as each item is verified for public display.

Judging, peer review & professional service

Evaluating the work of researchers, technologists and innovators

01

Scholarly peer review

Invited reviewer activity includes completed research evaluation associated with conferences such as:

  • ICCCMLA 2025
  • ICATEEE 2025
  • IIPEM 2025

Additional completed reviews can be added with organizer or certificate verification.

02

Technology & hackathon judging

Saurabh has built a growing judging portfolio across technology and innovation programs, assessing solutions for innovation, practicality, technical approach, scalability and impact.

  • TechPioneers / TechPioneersPro engagements
  • Multiple technology hackathon judging assignments
  • Expert-jury and project-evaluation activities
03

Mentoring & project evaluation

Professional service also includes mentoring, technical/project evaluation and knowledge-sharing activities supporting emerging professionals and technology communities.

Speaking & conference leadership

Sharing perspectives on AI, risk and enterprise transformation

Keynote

ICIDS 2025

Keynote-speaking contribution in an intelligent-data and emerging-technology forum.

Speaker

IEEE Cloud Summit

Professional speaking engagement contributing industry perspective on AI, cloud, data and enterprise transformation.

Industry engagement

ISG Dallas AI

Invited participation in an AI-focused industry event in Dallas.

Expert jury

TGRIS

Professional evaluator / expert-jury engagement.

Explainable AI in Banking AI-Driven Credit Risk Responsible Generative AI Regulatory Data Transformation Enterprise AI Governance

Recognition & professional communities

Professional standing, research community and recognition

Confirmed

IEEE Senior Member

Senior-grade professional membership in the global engineering and technology community.

Confirmed

Sigma Xi

Participation in the international scientific research community.

Professional affiliation

PRMIA

Engagement with the Professional Risk Managers' International Association and the risk-management community.

Award

Best Paper — ICIDS 2025

Research recognition associated with the International Conference on Intelligent Data Systems.

Evidence-minded public profile

Built around verifiable professional records

For credibility, each major item on this site is designed to be paired with an independent source when available: official registries, publisher pages, conference programs, organizer pages, membership confirmations or certificates.

Intellectual propertyOfficial registration / registry record
PublicationsPublisher, DOI or conference page
JudgingOrganizer invitation, certificate or public judge page
Peer reviewConference system record or completion certificate
SpeakingAgenda, speaker page, invitation or recording
MembershipOfficial membership-grade confirmation
AwardsAward certificate and organizer record
LeadershipProfessional history and supporting records

Areas of expertise

Artificial Intelligence

AI/ML · Generative AI · LLMs · RAG · Predictive Analytics

Responsible AI

Explainability · Governance · Transparency · Model Risk

Financial Risk

Credit Risk · Basel · IFRS 9 · Regulatory Analytics

Data Transformation

Enterprise Data · Data Quality · Lineage · Governance

RegTech

Regulatory Reporting · Automation · Compliance Analytics

Leadership

Global Programs · Transformation · Stakeholder Management

Professional contact

Connect with Saurabh

For professional collaboration, conference participation, research discussion, technology evaluation, industry commentary and related professional engagements.

Saurabh Kakkar

AI, Data & Financial Risk Transformation Leader

skresearch81@gmail.com LinkedIn: saurabh-kakkar-61a742111

Professional profile and selected body of work.