Arvind Bajaj — VP of Engineering
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.
Stackforce AI infers this person is a Fintech expert with a strong focus on product management and operational efficiency.
Location: Bengaluru, Karnataka, India
Experience: 23 yrs 11 mos
Skills
- Product Management
- Capital Markets Technology
- Machine Learning
- Operational Efficiency
- Risk Management
- Data Analytics
- Fintech Product Development
- Program Management
- Banking Operations
Career 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.
Work Experience
Societe Generale Global Solution Centre
VP, Head of Products — Capital Markets, Societe Generale (6 yrs 8 mos)
AVP, Program Management — Securities Services & Private Banking, Societe Generale (4 yrs 2 mos)
Senior Manager, Delivery — Securities Services, Societe Generale (4 yrs 1 mo)
Fidelity Investments
Program & Delivery Management — Fidelity Investments & Keane India (NTT Data) (4 yrs 11 mos)
Keane
Technical Lead (4 yrs)
Education
Diploma at Xperian School
Bachelor of Engineering (B.E.) at MIT, Aurangabad
PMP - Project Management Professional at PMI - Project Management Institute
ACP - Agile Certified Practitioner at PMI- Projecj Management Institute