TL;DR

Data Scientist (Risk Analytics): Innovating and optimizing risk-based decision-making to minimize fraud losses and maximize regulatory compliance. Focus on applying advanced analytics and championing the best use of AI in business solutions.

Location: Must work from London offices 3 days per week

Company

%hirify_global% provides an all-in-one business credit card & spend management platform that helps business owners save time and money.

What you will do

Own, monitor, and optimize fraud detection rules.
Apply advanced analytics to maximize the efficiency of Financial Crime detection processes.
Support the launch of new products, balancing fraud and financial crime controls with customer experience.
Work with external vendors to evaluate innovative products and tools.
Proactively champion the best use of AI to accelerate analytical output.
Present and collaborate with stakeholders including Operations, Credit, and Senior Management.

Requirements

At least three years of risk analysis experience including credit cards, fraud, or fincrime.
Highly analytical and comfortable using SQL and Python.
Exceptional problem-solving skills and ability to thrive in a fast-paced environment.
Excellent collaboration and communication skills.
2.1 or above at degree level, preferably in Economics or a STEM subject.

Culture & Benefits

Private Healthcare including dental and optician services.
28 days holiday (plus bank holidays).
Annual Learning and Wellbeing Budget.
Enhanced Parental Leave.
Free drinks and snacks in the offices.

Hiring process

First stage: 30-minute video call with Talent Partner
Second stage: 45-minute video call with the Hiring Manager
Final stage: 90-minute in-person interview covering technical competencies, culture, and values