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We're hiring a permanent software engineer to work primarily on integrating AI/LLM capabilities into our analytics platform — think automated research workflows, natural-language interfaces onto our derivatives data, and AI-assisted tooling for our quant, research and execution teams.
You'll also get exposure to the wider stack (data infrastructure, quant library development) as the team's needs evolve, but AI engineering integration is where you'll spend most of your time.
This is a strong fit for a graduate who wants to move into finance and apply software engineering skills to real market-facing problems, without needing prior finance experience.
London | Graduate | Full-time
SilverTide is a financial markets analytics comany with offices in London and Dubai.
We provide institutional hedge funds and asset managers with derivatives market research through a proprietary data and analytics platform, alongside trade execution with banks and market makers.
Our clients are discretionary portfolio managers who depend on the quality of our research output.
Our engineering team is small — under 10 people — building the full stack ourselves: Python, Polars, FastAPI, TimescaleDB, Prefect, FastMCP, Redis and Azure, with Dash on the front end and QuantLib in the quant layer.
Joining a team this size means direct ownership of what you build and close contact with the people using it, not a narrow slice of a much larger codebase.
We're hiring a permanent software engineer to work primarily on integrating AI/LLM capabilities into our analytics platform — think automated research workflows, natural-language interfaces onto our derivatives data, and AI-assisted tooling for our quant, research and execution teams.
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You'll also get exposure to the wider stack (data infrastructure, quant library development) as the team's needs evolve, but AI engineering integration is where you'll spend most of your time.
This is a strong fit for a graduate who wants to move into finance and apply software engineering skills to real market-facing problems, without needing prior finance experience.
Technology-first brokerage and analytics
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