Risk Intelligence Intern

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!

As the Risk Analyst Intern, you will join a team of dedicated fraud experts in our Risk Intelligence team who play a pivotal role in fighting fraud and helping our customers succeed. You will be responsible for maximising model performance, reviews of online transactions, providing fraud insights, outwitting fraudsters and supporting key merchants to understand their fraud pressures. You will make a big impact to advance the payment risk decisioning to the next level.

The right candidate will be a fraud fighter with a great attitude, willingness to perform, and ability to get things done.

Responsibilities

• Analyse large data sets to identify and extrapolate fraud trends & revenue maximisation opportunities. Proposing effective and refined solutions.
• Monitor and optimise merchant performance.
• Identify fraud patterns, trends and emerging threats.
• Produce analytical reports that provide actionable insights on fraud patterns.
• Describe and explain fraud trends to merchants and non fraud departments.
• Identify ideas for new Machine Learning features or rules, working closely with Decision Science teams to improve model performance.
• Develop and recommend rule strategies and model adjustments to effectively manage fraud exposure.
• Monitor and protect merchant approval rates to ensure fraud controls do not negatively impact performance.
• Keep up to date on the latest fraud trends, researching web (dark and surface) and industry, and suggest counter measures.

About you

• You possess an exceptional ability to make decisions with limited and conflicting information.
• You should have strong data analysis and interpretation skills.
• You have strong critical thinking skills with advanced judgment capability
• An ability to manage multiple assignments while working independently.
• Strong communication & presentation skills with internal and external stakeholders.
• Competent use of G-suite (Doc, Sheets, Slides) /Microsoft Office (Excel).

Desirable Skills

• Data analytics & end user software (Looker or SQL)

Working Pattern

• 10:00 - 18:00

To know if we’re a great fit for you, you’ll

• Be working towards or completed a degree in Business Technology, Business Analytics, Financial Technology, Finance, Economics, Business Management or Business Economics
• Experience with data analytics & end user software such as Looker or SQL is a bonus but not required

What will you get in return

• A base salary of £26,250
• 20 days of annual leave plus 10 public holidays
• Free snacks and drinks in the office
• A LinkedIn Learning account
• Have a great setup and working environment to help you do your job
• Take part in (or drive) our social/community events

Application and Interview details

• Please attach your most up to date CV
• Interviews will take place March 2026
• Start Date: Summer 2026
• Length of Internship: 12 months

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We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

We also want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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