AI & Machine Learning Jobs in Finance — 107 Live Roles

Generative AI has reset hiring across financial services, and this page tracks where that demand actually lands. Finjobsly indexes ML, applied-science, MLOps and data-leadership roles at fintechs, neobanks, exchanges, asset managers and traditional banks — including LLM-product teams that didn't exist 18 months ago. Each listing is tagged with the skills and tools named in the employer's description, so you can see at a glance which stacks a team works in.

Applied scientists and ML engineers building risk, fraud, AML and credit-decisioning systems still make up the largest single bucket here, with the most ML and data-science openings currently at Stripe, Plaid, Coinbase, Block and Monzo. On top of that, a fast-growing slice of postings target LLM and copilot product teams: retrieval-heavy systems, agentic workflows, evals, and embeddings infrastructure tuned to financial documents.

Quant and trading hiring overlaps materially with this page: market-makers, hedge funds and crypto trading firms increasingly hire for the same skill sets — Python, C++, statistical modelling, low-latency systems — under different titles. The keyword search treats those roles as first-class citizens, so a search for “quant”, “forecasting” or “alpha” will surface them alongside fintech ML roles.

Where the employer publishes a salary range it is shown on each card; see the fintech salary benchmark for live medians by role family. Filters let you narrow by seniority, remote/hybrid, contract type and the published salary range, and every apply link goes straight to the employer's ATS.