Offer summary

Qualifications:

Currently pursuing or completed a degree in Business Technology, Business Analytics, Financial Technology, Finance, Economics, Business Management, or Business Economics., Strong data analysis and interpretation skills are essential., Excellent critical thinking and judgment capabilities are required., Proficient in G-suite and Microsoft Office, with experience in data analytics software like Looker or SQL being a plus..

Key responsabilities:

Analyze large data sets to identify fraud trends and revenue maximization opportunities.

Monitor and optimize merchant performance while identifying fraud patterns and emerging threats.

Produce analytical reports that provide actionable insights on fraud patterns and trends.

Collaborate with Decision Science teams to propose new Machine Learning features or rules to enhance model performance.

Job description

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 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.
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
Flexibility to work weekends and holidays

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 £20,000
A performance related bonus
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 April/May 2025
Start Date: Summer 2025
Length of Internship: 12 months

#LI-Remote

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.

Signifyd's Applicant Privacy Notice

Required profile