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Arva AI tackles one of the most manual, high-stakes problems in finance: anti-money laundering and compliance reviews. Their AI agents integrate directly into regulated institutions' systems, handling millions of alerts monthly — from sanctions screening to transaction monitoring to complex customer due diligence — with the rigour and accuracy compliance teams demand. They're already trusted by notable customers and partners like Fiserv, processing over 1M reviews a month and increasing straight-through processing by 21%. The product resolves up to 91% of screening alerts and 87% of KYC/KYB assessments, allowing human analysts to focus on the trickiest cases. Built research-first, Arva combines proprietary web intelligence ('Arva Intel') with model risk governance, so banks can deploy AI confidently at scale. For ambitious engineers and operators, it's a chance to build infrastructure that protects the global financial system while working on deeply technical, regulated AI.
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AI Research Engineer needed for a VC-backed financial risk AI startup in Central London. The confidential London startup is backed by top-tier global VCs and builds agentic LLMs for risk and regulatory automation. The role offers ownership of the AI strategy in a fast-growing, high-stakes environment.
Head of Research at Arva AI in Central London will lead the development of AI agents to automate financial crime compliance reviews. Arva AI, backed by Y Combinator and Google’s Gradient Ventures, is building and scaling a research function from the ground up. You will own the roadmap for LLMs and vision models, ensuring accuracy and explainability for regulated banks.
