Psychometric Test for Fintech
Fintech companies use psychometric/aptitude testing to provide them with a more complete understanding of a job candidate's cognitive and problem-solving abilities, behavioural characteristics and other skills essential to the work. By using the C-me psychometric/aptitude test fintech employers can identify not only the best potential candidates for a given position but also those who will be the best fit culture-wise.

Why Companies Use Our Psychometric/Aptitude Test for Fintech
Fintech companies get a far more comprehensive picture of a potential employee using a psychometric/aptitude test than they could ever get using a personality-based assessment tool. This type of test enables fintech employers to:
• Reduce personality driven errors: A psychometric/aptitude test prevents hiring errors that can occur when someone wows the interviewer with their personality. Testing shifts the focus to objective data related to the candidate's actual abilities.
• Identify a candidate's soft skills: Soft skills like problem-solving, adaptability, decision making, risk tolerance and emotional intelligence are essential if someone is to successfully navigate complex financial situations.
• Ensure a better fit with the company culture: A single disruptive influence in the office can cause reduced productivity across the board. A psychometric/aptitude test can determine who will be a good fit for your company culture and who will not.
• An appropriate appetite for risk: There is no getting away from risk in fintech. The issue is knowing when to push forward and when to back off. The psychometric/aptitude test can accurately assess a person's appetite for risk.
250 000+
reports completed
13 000+
team diagnostics or profiles completed
2 500+
organisations using C-me
About C-me
The founders of C-me had spent years conducting assessments of individuals and organisations using personality-driven assessments and were frustrated by the fact that those tools routinely missed important aspects of a person's being. There had to be a better way.
After much time and effort, they launched C-me, a behaviour-based assessment tool that is far more effective at revealing a person's tendencies and motivations. When used in conjunction with the psychometric/aptitude test it is possible to get a comprehensive picture of a person and determine with a high degree of confidence if they are a good fit for both a given position and the company culture.
C-me has proven itself so effective that it has been adopted by scores of companies and organisations including Oracle, Virgin Active, HSBC, the BBC and the NHS.

To Learn More Contact C-me Today
If you'd like to learn more about the C-me psychometric/aptitude test for fintech contact C-me by way of our contact form or by calling +44 (0)1225 721971.

What our clients say about us
“C-me is a brilliant tool which continues to help our teams effectively communicate. Using C-me’s easy-to-understand language of colours, our global SLT, regional teams and future leaders are more self-aware of their own behaviours and can now navigate and understand how to flex their communication style to best suit their surroundings.”

Jack Pappard Senior Talent Development Manager, Ten Group
“We are at the beginning of the journey but the biggest benefit so far is that it has brought people together and helped us to open up about own areas for improvement, communication preferences and improve communication between and within teams.”

Natalia Gorbunova HR Manager, Mecalac
“C-me is a really important tool within our Organisational Development offer. It's a reasonably new offer but the feedback so far has been really positive in terms of insight, awareness and future considerations and colleagues are eager to do more work in this area.”

Sarah Engineer OD Consultant, The University of Sussex
How it works
Our profiles boast an 85% accuracy rate, with the added flexibility for users to review and adjust the remaining 15%. This ensures that the final profile truly reflects the individual's unique characteristics.















