Fraud & AML Rules Analyst

Mangopay is a
wallet-based payment infrastructure
built specifically for organisations with complex, multi-party fund flows. A pioneer in multi-party payments.

Our solution optimises fund flows on behalf of the organisations we work with using wallets as
programmable, composable
building blocks.

Mangopay's
regulated platform
collects payments, secures transactions and holds funds, splits money between the various parties in the funds flow, and ultimately manages the payout to service providers, sellers, and consumers.

Platforms and fintechs using Mangopay regain control and transparency over
multi-party payment flows
, generate additional revenue, and improve operational efficiency. They can stay compliant while innovating and scaling.

Our team of 300+ people is spread across offices in Madrid, Paris, Warsaw, Berlin, Luxembourg and London. We're looking for talented individuals to join us in tackling the exciting challenges ahead.

At Mangopay, you'll be part of a supportive, diverse team committed to building scalable solutions and driving change in the fintech space

Job Description
We are seeking a highly motivated and analytically minded
Fraud and
Compliance Rules Analyst
to join our Compliance team. This position is central to our defense against money laundering and fraud, focusing on the management, tuning, and measurement of our detection rules. If you have a strong logical aptitude, solid SQL skills, and a keen interest in applying data analysis to solve complex regulatory and financial crime challenges, this is a great opportunity to start or accelerate your career in Compliance. Experience with ComplyAdvantage is a significant advantage.

Key Responsibilities

• Rules Implementation & Tuning:
  Assist in the development, testing, and implementation of new or modified Compliance and Fraud detection rules and logic within our monitoring systems (e.g., transaction monitoring, ComplyAdvantage sanction screening).
• Crypto and Transaction Monitoring:
  Specifically manage rules and alerts related to digital asset transactions and other cryptocurrency-related activities, ensuring effective detection of crypto-related money laundering typologies.
• Typology Translation:
  Support the translation of financial crime typologies and regulatory requirements into concrete, actionable system logic and rule definitions.
• Impact Measurement:
  Execute routine data-driven analysis to assess the performance of existing rules. Measure key compliance metrics such as alert volume, true positive rates (hit rate), and false positive rates.
• Cross-Functional Project Support:
  Act as a critical analytical resource, supporting various Compliance teams' projects, internal audits, and regulatory inquiries by fulfilling ad-hoc data requests and providing analytical support.
• Compliance Documentation:
  Maintain thorough and organized documentation for all rules, including the business rationale, technical specifications, testing results, and the compliance benefit of the logic.

Qualifications and Skills
Required

• Education:
  Bachelor's degree (or equivalent work experience) in a field that emphasizes critical thinking and data interpretation, such as Finance, Business, Economics, Computer Science, or a related field.
• Technical Skills:
  Solid working knowledge of SQL for querying data, performing joins, and basic aggregation. The ability to write and understand basic-to-intermediate SQL queries is essential.
• Analytical Aptitude:
  Demonstrated strong logical and critical thinking skills. Ability to clearly define a problem, structure an analysis plan, and articulate findings.
• Compliance Interest:
  A keen desire to learn about AML (Anti-Money Laundering), KYC (Know Your Customer), and Fraud prevention regulations and practices.
• Communication:
  Good written communication skills for documentation and verbal skills for collaborating with technical and compliance teams.

Preferred

• Prior experience working with a transaction monitoring, sanctions screening, or fraud detection system.
• Familiarity or direct experience with blockchain analytics and tracing tools such as Chainalysis, Elliptic, or TRM Labs.
• Basic understanding of financial services operations and transaction flow.
• Familiarity with common financial crime typologies.

Additional Information:

• HR Call
• Interview 1 - Senior Fraud Analyst
• Interview 2 – Head of Compliance

We care about equal employment opportunities, so all qualified applicants will receive equal consideration regardless of their race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.