Senior AFC Modeller

N26 GmbH; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading financial technology company is looking for a Senior AFC Modeller to join their international team in Berlin. In this role, you will develop and optimize innovative fraud models, engaging cross-functionally to ensure compliance with financial regulations. With a strong background in analytics and project management, you will play a crucial role in the fight against financial crime while enjoying competitive benefits and a supportive work environment.

Leistungen

Premium subscription on personal N26 bank account

Relocation package with visa support

Employee benefits including personal development budget and wellness discounts

Additional day of annual leave for each year of service

Qualifikationen

• Over 5 years of experience in anti-financial crime, compliance, or risk management.
• Initial experience in using Machine Learning models for fraud detection.
• Fluency in English, German is a plus.

Aufgaben

• Develop and optimize fraud models for compliance with financial regulations.
• Lead the creation and tuning of transaction monitoring models.
• Engage with stakeholders for project management and model enhancements.

Kenntnisse

Analytical skills

SQL

Python

Project management

Attention to detail

Ausbildung

Academic background in mathematics, economics, computer science, data science, information management, or statistics

Jobbeschreibung

We are seeking a Senior AFC Modeller to join our international AFC Modelling Team to help us to fight Financial Crime.

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

Founded in 2013, N26 now has more than 8 million customers in 24 markets. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

About the opportunity

You will work within a small team of highly motivated and diverse staff developing and optimising industry leading Fraud models using advanced technologies to cover Money Laundering, Terrorism Financing, Fraud and Sanctions risk. You will closely engage with other teams within AFC Modelling that identify and assess Fraud Risk and that review your models.

In this role, you will :

• 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

You have an excellent background of the regulatory obligations around Fraud detection and gathered some hands-on experience in analysing and using data to build and configure analytical detection models. You are comfortable working in a highly motivated team, self driven and focused on delivery of complex projects. You have some initial experience in Machine Learning models and want to be part of their usage for Fraud detection?

What you need to be successful :

• 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

Skills :

• 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,
• A professional Financial Crime qualification from an internationally recognised body (e.g. ICA, ACAMS) would be beneficial,
• Fluent in English, German is a plus,
• Hardworking, team worker and strong attention to detail,
• Good project management, strong communication and presentation skills,
• Accelerate your career growth by joining one of Europe's most talked about disruptors .
• 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.

N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.