👨🏽‍💻What you’ll be doing (i.e. job duties):

• Be the main technical counterpart for the subcontractor team responsible to design, train and deploy the fraud scoring models
• Supervise the subcontractor for all aspects related to the fraud scoring models
• Acquire expertise and experience to progressively be involved in the design and the training of the fraud scoring models and rules
• Ensure that fraud scoring and identification performance is maintained within predefined parameters.
• Conduct data analysis on transactional data and detection system data; identify trends, anomalies and emerging risks in order to adjust EPI’s tactical responses.
• Respond quickly to high-risk situations, especially in case of a significant fraud event, requiring “stop the bleeding” actions .
• Monitor, watch and identify changing fraud trends
• Collaborate with the EPI engineering teams
• Collaborate with the EPI Scheme team responsible for fraud rules and policies, fraud prevention, fraud management, and fraud prosecution
• Act as a domain expert in Fraud Risk to advise business strategies across the Payments lifecycle and provide deep subject matter expertise
• Develop trusted advisor relationships within and outside EPI
• Contribute to the expansion of Fraud Scoring Services, partnering with the teams responsible for Product engineering & Scheme
• Ensure consistency, standards & quality control of Fraud Scoring/Identification methodologies
• Prepare periodic reports on fraud scoring performance and other metrics to inform various business and risk stakeholders in their decision making.
• Prepare or review KPI allowing to assess the performance of the subcontractor, participate to performance review meeting, and generally contribute to the vendor management processes

🕵🏻‍♀️What we look for in you (ie. job requirements):

• Expertise in Data science, AI, and deep learning, applying these skills for fraud identification and fraud scoring
• Experience with IBM Safer Payments, or with other fraud prevention tools
• Experience in supervised and semi-unsupervised anomaly detection
• Knowledge of and experience with unsupervised methods, such as ‘k-means’, ‘isolation forest’ and ‘subspace clustering’
• Knowledge of and experience with supervised methods such as ‘logistic regression’, ‘random forest’, ‘gradient boosting machine’, and ‘XGboost’
• Excellent self-management
• Strong ability to build efficient relations, to collaborate and to communicate with both internal and external stakeholders
• Ability to propose improvements in processes and way of working, when relevant
• Sound knowledge and understanding of public cloud operations
• Knowledge of Agile methods, CI/CD based engineering and DevOps processes is a plus
• Business hours will be based on European Standard Time. Must be willing to be on-call during night and weekends.

🤷🏻‍♂️What you’ll need to work with comfortably:

• Agile way of working
• Ability to find compromises
• Our office tool stack: Windows or Mac, Office 365, Slack, Atlassian Jira & Confluence, Miro, …
• English as our primary work language (written/verbal). Full professional command of French is highly desired. Any additional European language is a plus.
• Your co-workers are distributed across Europe in a remote work set-up