About the role
• Full-time, on-site, London, UK, Aug 5, 2026.
• Location: In person, Central London, 4–5 days in office.
• Type: Full-Time.
• NB: We are able to sponsor visas.
Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%.
As our first dedicated Data Associate, you'll build the ground truth our AI Agents are trained and measured against — labelling real financial crime casework, grading agent decisions, and turning tricky edge cases into evaluation sets. Every label you create makes our agents measurably better, safer, and easier to audit. You'll be operating at the intersection of compliance operations and applied AI in a fast-moving early-stage environment.
About the Role: As a Data Associate, you will:
• Own the labelling and annotation of financial crime data — KYB/KYC cases, screening hits, and transaction alerts — that powers the training and evaluation of our AI Agents.
• Become our internal source of ground truth — defining what "correct" looks like for agent decisions and holding every model release to that standard.
• Partner closely with Engineering, Product, and Compliance to turn real-world casework into structured datasets that measurably improve agent performance.
What You'll Do
• Labelling & Annotation: Review and label KYB/KYC cases, sanctions, PEP and adverse media screening hits, and transaction monitoring alerts to create high-quality training and evaluation data.
• Agent Evaluation & QA: Grade AI Agent outputs against gold-standard answers, flag errors and inconsistencies, and track quality metrics across model releases.
• Guidelines & Taxonomy: Help define and refine labelling guidelines, decision taxonomies, and edge-case playbooks so that labels stay consistent as the team and dataset scale.
