Arvind Bajaj

VP of Engineering

Bengaluru, Karnataka, India23 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Shipped 5 AI/ML-powered products in production.
  • Led a team of 120+ engineers and data scientists.
  • Expert in operational efficiency in banking and fintech.
Stackforce AI infers this person is a Fintech expert with a strong focus on product management and operational efficiency.

Contact

Skills

Core Skills

Product ManagementCapital Markets TechnologyMachine LearningOperational EfficiencyRisk ManagementData AnalyticsFintech Product DevelopmentProgram ManagementBanking Operations

Other Skills

Product & Engineering LeadershipNatural Language ProcessingMarket AnalysisSecurities ServicesPrivate BankingOperational TransformationTechnology DeliveryRegulatory ReportingMutual Fund TechnologySoftware DeliveryTechnical LeadershipSoftware DevelopmentEnterprise ApplicationsBFSI TransformationCustomer-Facing Financial Systems

About

I've spent 25 years inside the most complex parts of global banking and fintech — capital markets, private banking, securities services, credit risk, and mutual fund operations. I know how money moves, where it breaks, and what it takes to fix things at scale in a regulated environment. What I've become known for is spotting operational problems that everyone assumes are just "how banking works" — and building technology products that solve them permanently. Five of these products are in production today at a Tier 1 European bank: → A reconciliation resolution system that learns from analyst decision patterns to predict the correct side of a recon break and explain its reasoning — saving €3.5M annually across 18 global implementations. → A credit risk early warning platform hosting 40+ risk indicators — combining internal data, market signals, and negative news detection — used by 500+ professionals across risk, trading, and lending. → A B2B fintech marketplace where banks discover, evaluate, and trade non-performing loan portfolios — live with real transactions and a new fee-based revenue stream. → A knowledge system that lets production support teams query operational SOPs in natural language — live across multiple business lines with measurable reduction in incident resolution time. → A real-time business process monitoring platform tracking data availability and quality across 57 processes worldwide. Some of these use ML. Some use NLP. Some use LLMs. The technology choice followed the problem — I didn't start with a hammer looking for nails. I lead an organization of 120+ engineers, data scientists, and product managers. I studied product design formally because I believe the best technology solutions in banking come from understanding the user — the analyst, the risk officer, the trader — not just the system. I'm looking for opportunities within my work where deep banking and fintech domain expertise, product thinking, and technology leadership converge.

Experience

23 yrs 11 mos
Total Experience
7 yrs 11 mos
Average Tenure
14 yrs 11 mos
Current Experience

Societe generale global solution centre

3 roles

VP, Head of Products — Capital Markets, Societe Generale

Promoted

Sep 2019Present · 6 yrs 8 mos

  • Leading product development and operational transformation for Societe Generale's Capital Markets technology division. Managing 120+ engineers, data scientists, designers, and product managers.
  • Responsible for identifying operational inefficiencies across trading support, reconciliation, risk monitoring, and production operations — and building technology products that eliminate them at scale.
  • Products shipped and in production:
  • Reconciliation Resolution Engine — ML platform that models how analysts resolve reconciliation breaks — capturing the decision variables, training on historical resolution data, and predicting resolution. Analysts validate the recommendation via a visual decision tree and post corrections with one click. Reduced analyst resolution time by 90%. Annual savings: €3.5M.
  • Credit Risk Early Warning Platform — Designed a composite early warning system hosting 40+ risk indicators from internal systems, external market data feeds, and NLP-driven negative news sentiment analysis. Introduced ML-based composite indicators that combine multiple simple signals to simplify decision-making.
  • NPA Marketplace — B2B fintech marketplace for banks to discover, evaluate, trade, and maintain non-performing loan portfolios in the European market.
  • Enterprise Knowledge System — Deployed a GenAI-powered platform (RAG architecture) enabling production support teams to query operational SOPs using natural language. Admin module for SOP upload and management.
  • Real-Time Business Process Monitoring — Built an observability platform tracking data availability and quality across 57 business processes. Used by business and IT teams worldwide for chain monitoring and SLA tracking.
  • Currently building an operational intelligence platform consolidating infrastructure health monitoring, chain monitoring, AI-assisted incident resolution, and service dependency mapping — targeting 35% efficiency improvement across production support.
Product & Engineering LeadershipCapital Markets TechnologyBanking OperationsFintech Product DevelopmentMachine LearningNatural Language Processing+2

AVP, Program Management — Securities Services & Private Banking, Societe Generale

Promoted

Jul 2015Sep 2019 · 4 yrs 2 mos

  • Led technology programs across Societe Generale's Securities Services and Private Banking divisions — custody, settlement, trustee operations, and wealth management platforms.
  • Built a 0-to-1 credit risk limit monitoring product that improved efficiency by 30%, aided liquidity management, and enabled proactive relationship management for institutional clients.
  • Orchestrated the transformation of the Trustee Business — migrating from an end-of-life system to a modern platform. Reduced operational costs by 20% while managing staff training, data migration, and business continuity across multiple geographies.
  • Global stakeholder management across Paris, London, Singapore, and Bangalore.
Program ManagementSecurities ServicesPrivate BankingOperational TransformationBanking Operations

Senior Manager, Delivery — Securities Services, Societe Generale

Jun 2011Jul 2015 · 4 yrs 1 mo

  • Managed technology delivery for securities services operations — custody, corporate actions, settlement, and regulatory reporting.
  • Successfully delivered the Germany Tax redesign program within timeline and budget — navigating complex German tax law requirements while ensuring continued business operations.
Technology DeliverySecurities ServicesRegulatory ReportingProgram Management

Fidelity investments

Program & Delivery Management — Fidelity Investments & Keane India (NTT Data)

Jul 2006Jun 2011 · 4 yrs 11 mos

  • 10 years across mutual fund technology at Fidelity Investments and enterprise software delivery at Keane India (now NTT Data).
  • At Fidelity: Owned delivery of mission-critical mutual fund administration systems — NAV calculation, transaction processing, reconciliations, and large-scale batch operations serving millions of investors.
  • Progressed from hands-on software development to program management, building the foundation for a career spanning every major domain in financial services technology.
Program ManagementMutual Fund TechnologySoftware Delivery

Keane

Technical Lead

Jan 2001Jan 2005 · 4 yrs

  • Hands-on technical contributor building and supporting enterprise applications
  • Developed early grounding in software development, system behavior, and production support
Technical LeadershipSoftware DevelopmentEnterprise Applications

Education

Xperian School

Diploma — Product Design & Management

Mar 2020Mar 2021

MIT, Aurangabad

Bachelor of Engineering (B.E.) — Computer Engineering

Jan 1996Jan 2000

PMI - Project Management Institute

PMP - Project Management Professional

PMI- Projecj Management Institute

ACP - Agile Certified Practitioner

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