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Barclays

1 open Forward Deployed Engineer role at Barclays. Curated with comp bands.

Comp on the board: $150K–$200K base.

On the board since Jul 2026 · still hiring

Our take

Why Barclays

When a 300-year-old bank borrows Palantir's job title at VP level, the FDE motion has officially crossed into finance.

FDE type
Product-embedded
Travel
Low
Comp
Competitive
Stage
Public

A good fit if you're…

  • Engineers who want agentic-AI build work inside a global bank
  • People who value stability, scale, and a public-company package
  • Those comfortable embedding with internal stakeholders rather than external customers

What they do

Barclays is a global, publicly-traded bank. This role sits in its Markets Post Trade / Risk & Quantitative Analytics org at the Whippany, NJ tech campus, with a mandate to reinvent Investment Banking Research through AI.

What “forward deployed” means here

The 'forward deployed' here points inward: you build production agentic AI for IB Research — FastAPI/Flask services, RAG with vector databases, semantic search and reranking, MCP/tool-calling orchestration, deployed cloud-native on AWS (ECS/EKS, Lambda, Bedrock). You embed with senior internal stakeholders rather than external customers, so this reads as a product-embedded flavor more than a classic customer-facing FDE.

Comp & leveling

The board shows $150K–$200K base at VP level, before bonus — competitive as a bank package once the bonus is included, though the cash-plus-bonus structure is a different shape than a startup's equity-heavy offer. Parallel reqs run in London and Glasgow.

Growth signals

A legacy bank adopting Palantir's job title and running the role across three cities is a signal in itself: enterprise finance is now hiring for the FDE pattern directly. Expect scale, stability, and process — the opposite trade-off from a founding startup seat.

Analysis updated 2026-09-22

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