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 a Senior Analyst, you will play a central role in shaping and executing the methodology that sits behind Evident’s private benchmarking (‘Outcomes’) products.
Working closely with the Head of Outcomes Analysis, you will be responsible for developing and refining our frameworks, metrics, and scoring models that measure AI deployment, usage and business impact across various financial services sectors and business functions.
While this is a senior individual contributor position, you will act as a trusted subject matter expert, influencing methodological standards and helping maintain rigour and credibility.
Contribute to the design and refinement of the overarching AI benchmarking framework.
Develop indicators, scoring methodologies, and maturity models across sectors and functions.
Execute methodological frameworks to produce reliable, high-quality benchmark outputs.
Critically evaluate results to ensure they reflect real AI adoption and impact.
Contribute to updating frameworks to reflect emerging AI trends, new business models, and sector-specific developments.
Provide subject matter expertise on AI benchmarking and methodology for internal teams and - where required - external client stakeholders.
Partner with Product to translate methodology into dashboards, reports, and client deliverables.
7 - 10 years in analytics, research, or quantitative roles, with experience designing frameworks, benchmarking systems, or indices.
Experience in at least one vertical (banking, insurance, or asset management).
Strong understanding of enterprise AI, deployment, use cases, and maturity assessment.
Ability to structure complex problems and make defensible methodological decisions.
Strong written and verbal communication, capable of explaining methodology to non-technical audiences.
Skilled at executing methodological design, analysing complex datasets, and producing high-quality outputs under tight timelines.