At a Glance
- Tasks: Lead the development of AI benchmarking frameworks and methodologies for financial services.
- Company: Innovative company shaping AI adoption in banking with a diverse and inclusive culture.
- Benefits: Competitive salary, share options, 28 days holiday, flexible working, and private health insurance.
- Other info: Join a fast-growing team backed by leading tech investors and industry experts.
- Why this job: Make a real impact on AI maturity measurement while mentoring a high-performing team.
- Qualifications: 10+ years in analytics or research, with experience in banking or insurance.
The predicted salary is between 80000 - 100000 € per year.
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. 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 and have built a network of advisors that includes prominent figures in the AI and technology sectors.
The Role
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.
Key Responsibilities
- 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.
Core Skills & Experience
- 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.
Share options: we offer all employees share options over a 4 year vesting period
Holidays: 28 days of holiday + public bank holidays
Flexible working: 3-4 days per week in our Central London office, 1-2 days remote
Pension
Private health insurance
Our commitments to diversity and inclusion
Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. During our recruitment process, you will not be discriminated against for any of the following reasons: race, age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes to ensure you are not disadvantaged during the recruitment process, you should contact us as soon as possible. We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.
Head of Outcomes Analysis in London employer: Evident
Evident is an exceptional employer, offering a dynamic and innovative work environment in the heart of Central London. With a strong commitment to employee growth, we provide opportunities for professional development through mentorship and hands-on experience in shaping AI benchmarking methodologies. Our inclusive culture, competitive benefits including share options, private health insurance, and flexible working arrangements, ensures that every team member feels valued and empowered to contribute to our mission of advancing AI adoption in banking.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Outcomes Analysis in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products, especially the Evident AI Index. Show us that you understand our mission and how your skills can contribute to advancing AI in banking.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role of Head of Outcomes Analysis. We want to hear how you can shape our benchmarking framework and lead a high-performing team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Head of Outcomes Analysis in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and its impact on banking shine through. We want to see how you connect with our mission of accelerating AI adoption and how your experience aligns with that.
Tailor Your Experience:Make sure to highlight your relevant experience in analytics, research, or strategy roles. We’re looking for someone who can build frameworks and methodologies, so be specific about your past projects and achievements that relate to this.
Keep It Clear and Concise:While we appreciate detail, clarity is key! Use straightforward language to explain complex concepts. Remember, we want to understand your thought process without getting lost in jargon.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Evident
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially as they relate to banking and financial services. Be ready to discuss how AI maturity can impact business outcomes and share your insights on current methodologies.
✨Showcase Your Framework Experience
Prepare examples of frameworks or benchmarking systems you've built or worked with in the past. Highlight your role in designing scoring models and how you ensured they were both rigorous and user-friendly.
✨Communicate Clearly
Since you'll be explaining complex methodologies to non-technical audiences, practice simplifying your explanations. Use analogies or real-world examples to make your points relatable and clear.
✨Be a Team Player
As this role involves mentoring a team, think about your leadership style and how you can foster a collaborative environment. Be ready to discuss how you've successfully led teams in the past and how you plan to support your future team members.
