Finance and FinTech AI Jobs (2026)

Finance carries a higher stated median than the machine learning engineer hub: about $240,000 a year across the 20 percent of listings that print a US dollar range, as of September 2026, against roughly $219,000 for ML engineers. The hub itself is compact, 128 live listings from the last 60 days with 13 posted in the past week, and it is defined by application rather than job title. Fraud prevention, credit decisioning, model risk, investment banking workflows and data risk all appear in the sample titles.

Crypto and payments companies lead the employer list. OKX, Block and Affirm each have seven open roles, Airwallex five, and Stripe and Capco four apiece. Titles include Senior Software Engineer for ML fraud prevention, Lead for credit decision science and AI, Staff Machine Learning Model Risk Specialist, Staff Software Engineer for AI and data risk, and a Senior Product Manager for AI workflows in investment banking; there is even an AI scientist post for quantum computing at a site in Massy.

Seniority is unusually flat. The four bands are close to equal: 32 senior, 31 mid level, 30 lead, manager or architect and 22 staff or principal, which means management and specialist roles are a larger share here than on the general engineering hubs. Machine learning engineering accounts for 49 listings, data engineering 12, data science five and NLP four. By country, the US has 52, the UK nine, Germany eight, Singapore seven and Canada five, and 47 percent of listings are remote.

Because the roles are spread across titles, the keyword search is the tool: fraud, credit, risk, trading and payments each pull a different subset. The location hubs for finance centers, /ai-jobs-london, /ai-jobs-new-york and /ai-jobs-in-singapore, overlap with this page, and /ai-jobs-200k shows which finance roles clear a high stated floor.