AdresseAnti-Financial Crime
Anti-Financial Crime (AFC) is responsible for the prevention of money laundering, the fight against terrorist financing, the monitoring of financial and commercial sanctions, and the fight against other criminal activities.
AFC's goal is to identify risks resulting from financial crimes that could jeopardize Deutsche Bank's integrity and thus its success, to prevent these risks as effectively as possible, or, if they do occur, to investigate and clear them up appropriately in the interest of all parties involved.
Within AFC's entire value chain, the AFC Modelling (AFC M) area is at the heart of the game as it uses a risk-based management approach to create the models and scenarios that translate the above goals and expectations into concrete controls and analysis.
Your main tasks
As Analytics Expert within AFC M, you are responsible for incorporating complex business requirements into implementable models for known pattern or anomalous behaviour and for compliance with Deutsche Bank's modelling standards. For this role you should have profound experience as data scientist and modeller and sound programming skills.
Development of money laundering detection models in Python, R, Apache Spark or Scala
Build an understanding of the bank's existing data pipelines and data sources, with the aim to leverage the full potential of existing and new data
Cooperation with architects, infrastructure experts and developers on an international strategic intelligence framework for money laundering prevention - from data analysis to scalable models
Documentation of source code and methodology
Support and quality assurance during the test and development phase
Willingness to take over a position as a Lead data scientist, supporting and guiding other (senior) data scientists and setting professional modeling standards
Your skills and experience
You have a degree in mathematics, physics, computer science, or comparable qualifications and experience
Experience with data modelling pipelines in a Big Data context, using Hadoop and Apache Spark and other components from the ecosystem (Kafka, Solr etc.)
Experience with shell scripting, test frameworks, Git
You have at least 5 years of experience in Python, Scala, C ++, or similar programming languages with a focus on Big Data
A sound understanding for development processes and paradigms is desirable
Experience in the areas of financial crime, compliance, and banking is desirable
You are a team player and have leadership experience as well as a high level of personal integrity
Excellent oral and written English skills; German desirable
What we will offer you:
https://careers.db.com/explore-the-bank/working-environment/benefits-wellbeing/
Please note that this may vary slightly from location to location.
In case of any recruitment related questions, please get in touch with Stefanie Schumann.
Contact: Stefanie Schumann, Tel.: +49(69)910-42578
Unsere Werte bestimmen das Arbeitsumfeld, welches wir schaffen möchten – vielfältig, wertschätzend und offen für verschiedene Meinungen. Nur eine Unternehmenskultur, die eine Vielzahl von Perspektiven, sowie kulturellen und gesellschaftlichen Hintergründen vereint, fördert Innovation. Wir setzten auf vielfältige Teams, in welchen die Menschen ihr volles Potential entfalten können – denn das Zusammenführen verschiedener Talente und Ideen spielt eine entscheidende Rolle für den geschäftlichen Erfolg der Deutschen Bank.
Unsere Unternehmenskultur setzt hohe ethische Standards und fördert ein gutes Miteinander. Unabhängig von kulturellem Hintergrund, Nationalität, ethnischer Zugehörigkeit, geschlechtlicher und sexueller Identität, körperlichen Fähigkeiten, Religion und Generation freuen wir uns über Bewerbungen talentierter Menschen.
Sprechen Sie uns an: Wir bieten flexible Arbeitszeitmodelle und weitere Zusatzleistungen, um Sie in Ihrem Berufsleben zu unterstützen.
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