Threat and Analytics Lead
The role
The Threat & Analytics Lead builds GoCardless's data-driven understanding of fraud and financial crime risk. You'll bring specialist analytical expertise to both domains, helping the business understand emerging threats, measure how well existing controls are working, and identify where prevention and detection need to get stronger. Your evidence and insights will inform our strategy and how we prioritise our investments.
You'll work closely with Product, Engineering, Operations and Data Science to analyse large, complex datasets and surface patterns, trends and risk concentrations across the customer lifecycle, spanning fraud prevention, transaction monitoring, sanctions screening, customer risk management and broader financial crime work. You’ll work hand-in-hand with the teams who own fraud and financial crime strategy, governance, policy and operational delivery.
The Threat & Analytics Lead is a senior-level role with a high level of complexity, autonomy and expectation of impact.
What excites you
Getting to the root cause of problems — not just reporting what’s happening, but understanding why
Working with data to uncover patterns that aren’t immediately obvious
Bringing structure and clarity to complex or ambiguous problems
Influencing decisions through evidence rather than opinion
Building analytical frameworks and approaches that improve how we understand fraud and financial crime risk
Seeing your work directly impact fraud losses, detection and business performance
What excites us
You have strong analytical capability and are confident working with large datasets using SQL, Python and BI tools.
You have experience applying statistical and analytical techniques to large datasets to identify patterns, measure performance and assess risk.
You are able to translate complex data into clear, actionable insights that non-technical stakeholders can understand.
You are comfortable working across multiple stakeholders and influencing without direct ownership.
You take ownership of problems, bring structure to ambiguity, and drive work through to completion.
You are comfortable working toward a high level organisational KPI and independently developing and validating hypotheses to create impact.
Nice to have
You have experience analysing fraud or financial crime data in payments, fintech or financial services industries
Experience working closely with Product, Engineering or Data Science teams
Experience building or scaling analytical functions
Base salary range: € 4730 - € 7100 EUR (gross) (including the 13th and 14th salary)
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point (€4730 - €5910 EUR (gross)) of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.