Head of Research

Head of Research

Lead the research function behind our AI Agent platform: the in-house models, agentic systems and evaluation infrastructure that power everything from document fraud detection to web-scale due diligence.

Apply now

Apply now

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Location

London, UK

Location Type

On site

Department

Research

work time

Full-time

Apply now

Apply now

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 85%.

As Head of Research, you will lead the research function behind our AI Agent platform: the in-house models, agentic systems and evaluation infrastructure that power everything from document fraud detection to web-scale due diligence. At Arva, model quality is the product. You'll set the research agenda, build and lead the team that delivers it, and stay hands-on: training, fine-tuning and rigorously evaluating systems that must be faster, more thorough and more accurate than human reviewers in live, regulated workflows.

About the Role

As Head of Research, you will:

Own Arva's AI research strategy, deciding where we build in-house capability, where we adapt frontier models, and which bets compound into a durable technical edge.

Build and lead the research team, setting the technical bar and the practices that get research into production quickly and safely.

Own model quality as a company-level outcome, from evaluation methodology and benchmarks through to the accuracy, explainability, latency and reliability of what runs in front of customers and regulators.

What You'll Do

Research Strategy & Roadmap

Define and own the research roadmap, grounded in customer workflows, regulatory realities and the frontier of what LLMs, agents and vision models can do.

Make clear build-vs-adapt decisions: when to fine-tune or distil, when to train bespoke models, and when to lean on frontier APIs.

Translate new research into production impact, continuously assessing emerging methods for their effect on quality, explainability, latency, cost and reliability.

Team Leadership

Hire, develop and retain exceptional AI researchers and engineers, and set the standard for rigour and ownership across the team.

Run the team's operating cadence: planning, prioritisation, reviews and clear accountable ownership for every initiative.

Lead from the front on the hardest problems, from training runs and eval design to failure analysis.

Evaluation & Model Quality

Own the evaluation stack: benchmarks, backtests and regression suites that quantify performance against real compliance workflows and catch regressions before customers do.

Build continuous-improvement loops that turn human-in-the-loop feedback into dataset curation, fine-tuning and distillation, and measurable gains in model behaviour.

Establish the model documentation and validation practices that regulated financial institutions, and their auditors, expect of the AI they rely on.

Models & Infrastructure

Train, fine-tune and deploy LLMs and vision models for specific compliance use cases, from document fraud detection to entity screening and web-scale due diligence.

Maintain MLOps practices around datasets, labels, backtests and benchmarks that maximise development velocity without sacrificing reproducibility.

Cross-Functional Leadership

Partner with product and engineering to shape feasible, scalable solutions and get research into customers' hands fast.

Support GTM in articulating our technical edge in customer conversations, technical due diligence and launches.

Represent Arva's research externally where it serves the mission, through publications, talks and the wider AI and compliance community.

Our Culture

Relentless Urgency

We move fast and decisively, focusing on delivering real outcomes instead of waiting for perfect conditions.

Excellence in Everything

We hold a high bar in every detail, from product quality to how we communicate and support customers, even when no one is watching. We make an intense effort to learn and expand our knowledge, and redefine what excellence means as we grow.

Proactive Ownership

We take initiative without waiting to be asked, communicate early and clearly, are always curious, and continuously improve what we build and how we work.

Zoom Out, Then In

We know when to be strategic by stepping back to understand the bigger picture, and we know when speed matters to think tactically and execute with focus and follow-through.

Be a Hacker

We know how to be resourceful, creative, and find unconventional ways to get things done. We love to challenge the default, move fast, experiment, and find a way around obstacles rather than accepting them. Whether it's building product, solving customer problems, or closing deals, we are always thinking: there's got to be a smarter, faster way to do this.

What We're Looking For

Experience

5+ years in applied AI research or ML engineering, with a track record of leading teams and owning a research agenda through to production.

A PhD in machine learning, AI or a related field is a nice to have, not a requirement.

Technical Depth

Hands-on expertise training and fine-tuning LLMs and vision models, building and testing agentic systems, and designing evaluations that hold up in production.

Experience with distillation, RL-based post-training or inference optimisation is a strong plus. Experience using TypeScript a plus.

Research Judgment

Ability to separate what is truly promising from what is merely new, and to sequence research bets against near-term customer impact.

Product & Customer Focus

Strong understanding of how AI solves real-world problems, and the ability to connect model behaviour to customer outcomes in AML, compliance and risk. Domain experience in regulated industries is a plus, not a requirement.

Communication & Collaboration

Clear, concise communicator who can explain complex AI concepts to executives, customers and non-technical stakeholders, and align researchers, engineers and commercial teams around a shared plan.

Ownership

Comfortable taking full responsibility for outcomes, decisions and results, and for building the team that delivers them.

Why Join Us?

Be part of an early-stage startup, building and leading its research function from the ground up with significant ownership and influence over AI strategy.

Work at the frontier of applied AI on problems where accuracy, explainability and trust are non-negotiable.

Collaborate with a passionate, mission-driven team dedicated to innovation.

Work from anywhere in the world for 4 weeks a year, in addition to regular team off-sites.

Competitive salary and equity package, with bi-annual salary review and yearly performance-based equity refresh.

Ready to Join the Fight Against Financial Crime?

If you're excited to lead the research that defines how AI earns trust in compliance, we'd love to hear from you. Apply now to become an Arvanaut as our Head of Research.

AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.

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Product

AgentStudio

AgentCore

Screening Al

Onboarding AI

Transaction Monitoring Al

EDD AI

Lending AI

Research

Use Cases

Banks

Credit Unions

Fintechs

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Company

Trust

About

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Case Studies

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Book a demo

AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.

Product

AgentStudio

AgentCore

Screening Al

Onboarding AI

Transaction Monitoring Al

EDD AI

Lending AI

Research

Use Cases

Banks

Credit Unions

Fintechs

Crypto & Trading

Company

Trust

About

Blog

Case Studies

Careers

Press

Contact

Book a demo

© 2026 Arva AI Inc.

Legal

Privacy Policy

Cookie Settings

AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.

Product

AgentStudio

AgentCore

Screening Al

Onboarding AI

Transaction Monitoring Al

EDD AI

Lending AI

Research

Use Cases

Banks

Credit Unions

Fintechs

Crypto & Trading

Company

Trust

About

Blog

Case Studies

Careers

Press

Contact

Book a demo

© 2026 Arva AI Inc.

Legal

Privacy Policy

Cookie Settings