or apply directly on GoCardless's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days GoCardless's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of GoCardless's roles list one
- Ghost-job risk at GoCardless
- high 12 stale, 2 reposted of 22 open
- Hiring momentum
- 42 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from GoCardless's own greenhouse board since 2026-08-03. Full hiring picture for GoCardless.
About this role
The Threat and Analytics Lead at GoCardless is responsible for enhancing the company's understanding of fraud and financial crime risk through data analysis. This role involves working with large datasets to identify patterns and trends, collaborating with various teams to inform strategies, and driving improvements in fraud detection and prevention. The position demands strong analytical skills and the ability to translate complex data into actionable insights for stakeholders.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of GoCardless as an employer.
What you need
- Strong analytical capability with large datasets using SQL, Python, and BI tools
- Experience applying statistical and analytical techniques to identify patterns and assess risk
- Ability to translate complex data into clear, actionable insights for non-technical stakeholders
- Comfortable working across multiple stakeholders and influencing without direct ownership
- Ownership of problems, bringing structure to ambiguity, and driving work to completion
- Comfortable working toward high-level organisational KPIs and independently developing and validating hypotheses
Nice to 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
What you get
- Wellbeing support and medical cover
- Work away scheme for up to 90 days
- Adaptive Working for flexible schedules
- Parental leave
- Annual learning budget
- Generous holiday allowance, plus 3 volunteer days and 4 wellness days
Worth weighing
- Base salary range provided but may vary based on experience and performance assessment
- Role involves high complexity and autonomy, which may require strong self-management skills
Summarised from GoCardless's posting. Read the full original.
Listed by GoCardless on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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