We are building the global standard benchmark for AI maturity in business.
Our mission is to accelerate the adoption of AI in Banking by creating the most complete, unbiased and transparent public benchmark of corporate AI capability. Our inaugural product launch, the Evident AI Index, was covered by the New York Times and many other outlets.
Why join us:
We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world.
We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.
We are backed by some of the world’s leading tech investors, including Lance Uggla, the backers of Revolut, the tech commentator Scott Galloway, and have built a network of advisors that includes the Global AI Lead at AWS, Mastercard’s President of Cyber & Intelligence, Ocado’s former CTO, the former CCO of the Alan Turing Institute, the Chair of the UK Government AI Council and the former Head of the UK Government Office for AI.
If you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI here. Our commitments to diversity and inclusion are set out at the end of this job description.
As our Head of Outcomes Analysis, you will be the point person for delivering, scaling and evolving the methodology system behind Evident’s private benchmarking (‘Outcomes’) products.
This is a senior, high-impact role where you will shape the way AI adoption, usage and business impact is measured across various financial services sectors and functions. You will begin as a hands-on architect, designing core frameworks, scoring models, and maturity metrics, whilst gradually transitioning into a player-coach, building and mentoring a high-performing team of methodologists.
Define, own and evolve the overarching AI benchmarking framework, to include taxonomy, maturity models, and scoring systems.
Deploy frameworks across sectors (banking, insurance, asset management) and functions (risk, operations, front office), ensuring these map to a unified system.
Design and maintain our indicators, scoring methodologies, and weightings.
Balance analytical rigour with usability for internal teams and clients.
Define governance for creating new benchmarks, modifying existing frameworks, and maintaining consistency.
Continuously evolve frameworks in line with emerging AI trends and industry practices
Act as the internal authority on AI maturity and impact across financial services, whilst also providing support in client meetings and external engagements.
Partner with Product to translate methodology into dashboards, reports, and modules.
Lead production and QA of benchmark outputs, assessing results critically to ensure defensibility.
10 - 12+ years in analytics, research, strategy, or quantitative roles.
Demonstrable experience in either banking, insurance, or asset management.
Experience building frameworks, indices, benchmarking systems, or measurement methodologies.
Experience leading - and scaling - analytical or research teams.
Strong understanding of enterprise AI use cases, deployment, and maturity assessment.
Familiarity with data infrastructure and operating models supporting AI.
Ability to assess real-world AI maturity versus theoretical capability.
Familiarity with key business functions (risk, operations, distribution).
Strong written and verbal communication, capable of explaining complex methodology to non-technical audiences.
Experience engaging senior stakeholders.