Senior AFC Modeller

Summary

Join our international AFC Modelling Team as a Senior AFC Modeller to help fight Financial Crime. You will leverage your expertise in fraud detection, data analysis, and machine learning to develop and optimize industry-leading fraud models. This role involves working within a high-performance team, collaborating with cross-functional teams, and engaging with stakeholders. You will lead the development of new models, improve processes through automation, and create statistical analyses. The position requires strong analytical skills, experience with SQL and Python, and knowledge of the regulatory environment. Successful candidates will have a relevant academic background and professional experience in anti-financial crime or risk management.

Requirements

• Academic background in mathematics, economics, computer science, data science, information management, statistics or other relevant areas
• Professional experience gained in an anti-financial crime, compliance or risk management role, ideally with at least 5+ years
• Knowledge of the regulatory environment and relevant processes with regard to topics such as KYC, financial crime risk assessment, transaction monitoring, fraud / terrorist financing, sanctions / embargoes, and screening
• Strong analytics skills including the knowledge of a query language e.g. SQL, required
• Expertise in an analytical programming language like Python or R , required
• Good experience collaborating with people
• Hardworking, team worker and strong attention to detail
• Good project management, strong communication and presentation skills

Responsibilities

• Work within a high performance team that is the central point of contact for all AFC modelling tasks, working cross functionally with various teams
• Be an expert regarding the assessment of Fraud Risk, proper Risk Coverage and concepts/ approaches of Post and Real Time Transaction Monitoring models
• Have technical expertise around SQL and in implementing Transaction Monitoring models (e.g. in python)
• Lead the development of new models or modelling concepts and a full tuning of existing models within the Modelling function
• Design and improve processes by automation within the Modelling function
• Create statistical analysis around AFC Models for multiple purposes and conclude to actions
• Engage with the Threat Identification and Model Review Function around Model enhancements
• Manage Modelling related projects including stakeholder management and PMO tasks
• Engage actively with stakeholders around existing AFC Models and new requirements

Preferred Qualifications

• A professional Financial Crime qualification from an internationally recognised body (e.g. ICA, ACAMS) would be beneficial
• Fluent in English, German is a plus

Benefits

• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
• Come together in the office with your team for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members
• Additional day of annual leave for each year of service
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses
• A relocation package with visa support for those who need it