Data Scientist (AFC)
Role details
Job location
Tech stack
Job description
- Work within a high performance team that is the central point of contact for all anti-financial crime (AFC) modelling tasks, work cross functionally with various teams
- Be an expert regarding concepts and approaches of post and real-time Transaction Monitoring / Screening models
- Have technical expertise around SQL, in implementing Transaction Monitoring models (e.g. in python) and around Machine Learning techniques
- Independently develop new AFC models and tune existing rule based or machine learning models within the Modelling function
- Review and enhance existing processes within the Modelling function
- Perform statistical analysis around AFC models for multiple purposes
- Work closely with the Threat Identification and Model Review Function around model enhancements
- Lead small projects from conception to completion, including developing project plans, tracking progress, and managing stakeholder communications
Requirements
Do you have experience in SQL?, You have a background in regulatory obligations related to Sanction Screening and hands-on experience in analyzing and utilizing data for the development and configuration of analytical financial crime detection models. You thrive in a highly motivated team environment, are self-driven, and are focused on project delivery. Do you have experience with Machine Learning models and a desire to apply them to financial crime detection?
You will leverage advanced technologies to address risks associated with Money Laundering, Terrorism Financing, Fraud, and Sanctions. You will collaborate closely with other AFC Modelling teams responsible for identifying and assessing financial crime risks and reviewing your models, as well as with the Data Science team that develops fincrime-specific machine learning models., * A university degree 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 3+ years
- Machine Learning background with a minimum of 1-2 years' experience in applying models to production, * Knowledge of the regulatory environment and related requirements with regards to topics such as Know Your Customer, financial crime risk assessment, transaction monitoring or screening to mitigate money laundering, fraud, terrorist financing, sanctions risk
- Strong analytics skills including the knowledge of a query language e.g. SQL
- Expertise in an analytical programming language like Python or R
- Fluent in English, strong communication skills
- Collaborative and results-driven team player
- Strong project management, presentation and stakeholder engagement skills, * A professional Financial Crime qualification from an internationally recognised body (e.g. ICA, ACAMS)
Benefits & conditions
- 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 with your team in the office 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 backgrounds.
- A relocation package with visa support for those who need it.
