Modelling Quantitative Research & Development Senior Specialist - Group Strategic Analytics (f/m/x) Frankfurt/Berlin

Deutsche Bank AG; Frankfurt; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Betriebliche Altersvorsorge

Flexible Arbeitszeiten

Gesundheitsprogramme

Job summary

Deutsche Bank AG sucht eine Fachkraft für Transaktionsüberwachungsmodelle (TM), die den Prototype-to-Production-Lifecycle verantwortet und robuste Features aus Typologien ableitet. Sie arbeiten an Daten- und Modellierungsstrategien, verbessern Datenqualität, Governance und Monitoring-KPIs in einer globalen Teamstruktur.

Sie bringen exzellente Python-Skills, starkes ML-Verständnis und Erfahrung mit Cloud- und Big-Data-Ökosystemen mit und kommunizieren Ergebnisse über Dashboards und

Qualifications

• Bachelor- oder Masterabschluss in Informatik, Data Science, MIS, Informationsmanagement oder vergleichbarer Qualifikation.
• Sehr gute Python-Kenntnisse (numpy, pandas, scikit-learn, PySpark) für Datenmanipulation und ML-Workflows sowie fortgeschrittenes SQL.
• Expertise in Machine Learning – Modellentwicklung, Evaluation, Deployment und Interpretierbarkeit.
• Fundierte Kenntnisse in Wahrscheinlichkeit, Statistik, Linearer Algebra und Optimierung.
• Erfahrung mit Cloud- und Big-Data-Ökosystemen (GCP/AWS, GPU-Computing, Hadoop) und Datenvisualisierung.
• Deutsch- und Englischkenntnisse verhandlungssicher.

Responsibilities

• Sie verantworten den Prototype-to-Production-Lifecycle für TM-Modelle inkl. SDLC, Testing, reproduzierbarer Pipelines und Dokumentation.
• Sie übersetzen Typologien und Red-Flag-Anforderungen in robuste Features und Szenarien mit Python und SQL.
• Sie treiben die TM-Daten- und Modellierungsstrategie voran und arbeiten mit Data Stewards/TDI zusammen, um Datenherkunft, Qualität und Kontrollen zu stärken.
• Sie bauen Monitoring-MI und Model-Health-KPIs auf und entwickeln Ongoing Performance Monitoring weiter.
• Sie vertreten TM in Data-Governance- und Standards-Foren und fördern Global Minimum TM Standards sowie TM Standards Oversight KOD.
• Sie skalieren Training, Evaluation und Production mit Cloud- und Big-Data-Tools (GCP inkl. GPU, Hadoop).

Skills

Python (numpy/pandas/scikit-learn/PySк

Education

Bachelor/Master in Informatik/Data Science/MIS

Tools

SQL

GCP/AWS

Hadoop

Collibra Governance

Job description

Details of the role and how it fits into the team

Details zur Rolle und wie sie ins Team passt Group Strategic Analytics (GSA) ist Teil des Group Chief Operation Office (COO), das als Brücke zwischen den Geschäfts- und Infrastrukturfunktionen der Bank fungiert, um die Ziele der Bank in Bezug auf Effizienz, Kontrolle und Transformation zu unterstützen. Sie arbeiten im Global Strategic Analytics Team an der Modellstrategie und Implementierung der Transaktionsüberwachung.

Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team on model strategy and deployment of Transaction Monitoring.

Your team delivers street leading models leveraging both qualitative and quantitative analytics on Deutsche Bank’s clients’ activities.

To be successful in that role, you are familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details.

You will work in a collaborative global team and focus on people development and career growth.

The purpose of Transaction Monitoring Models is to identify and investigate unusual customer transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government.

Reporting to the Regional Head of Transaction Control Strats, you will be responsible for improving, implementing, and maintaining the models for transaction monitoring.

You will ensure that all relevant criminal risks, typologies, products, and services are properly monitored.

Ihre Schlüsselaufgaben

• Sie verantworten den Prototype-to-Production-Lifecycle für Transaktionsüberwachungsmodelle (TM) – einschließlich SDLC, Testing, reproduzierbarer Pipelines und klarer Dokumentation – und übersetzen Typologien sowie Red-Flag-Anforderungen in robuste Features und Szenarien mit Python (numpy/pandas/scikit-learn/PySpark) und SQL.
• Sie treiben die TM-Daten- und Modellierungsstrategie im Einklang mit dem globalen Framework voran und arbeiten eng mit Data Stewards/TDI zusammen, um Datenherkunft (Lineage), Qualität und Kontrollen zu stärken (z. B. Collibra-Governance, Issue-Logging, Priorisierung und Abschluss).
• Sie bauen die Monitoring-MI und Model-Health-KPIs auf und entwickeln diese kontinuierlich weiter, betreiben und verbessern den Prozess des Ongoing Performance Monitoring (OPM), führen Deep Dives zu Datenqualität und -stabilität durch, verfolgen Remediation bis zum Abschluss nach und präsentieren die Ergebnisse in Governance-Foren.
• Sie vertreten TM in Data-Governance- und Standards-Foren und fördern aktiv die Global Minimum TM Standards sowie das TM Standards Oversight KOD; dabei artikulieren Sie Daten- und Modellthemen sowie die dazugehörigen Entscheidungswege klar und adressatengerecht.
• Sie skalieren Trainings, Evaluationen und Produktionen mit Cloud- und Big-Data-Tools (z. B. GCP inkl. GPU, Hadoop) und überführen effiziente Spark/SQL-Dataflows auf governance-konformen Plattformen in die Produktion.
• Sie kommunizieren Ergebnisse mithilfe von Dashboards und Governance-tauglichen Artefakten (z. B. für TMGC) und übersetzen technische Resultate in umsetzbare Erkenntnisse.

Your key responsibilities

• You own the prototype-to-production lifecycle for TM models, including SDLC, testing, reproducible pipelines, and clear documentation.
• You translate typologies and red-flag requirements into robust features and scenarios using Python (numpy/pandas/scikit-learn/PySpark) and SQL.
• You drive the TM data and modelling strategy in line with the global framework, partnering with Data Stewards/TDI to strengthen data lineage, quality, and controls (e.g., Collibra governance, issue logging, prioritization, and closure).
• You build and evolve monitoring MI and model-health KPIs.
• You operate and continuously improve the Ongoing Performance Monitoring (OPM) process, run deep dives on data quality and stability, track remediation to closure, and present outcomes in governance forums.
• You represent TM in data governance and standards forums, championing the Global Minimum TM Standards and TM Standards Oversight KOD. You clearly articulate data/model issues and decision paths.
• You scale training, evaluation, and production with cloud and big-data tooling (e.g., GCP incl. GPU, Hadoop).
• You productionize efficient Spark/SQL dataflows on governed platforms.
• You communicate results clearly using dashboards and governance-ready artifacts (e.g., for TMGC), translating technical outcomes into actionable insights.

Ihre Fähigkeiten und Erfahrungen

• Sie verfügen über einen Bachelor- oder Masterabschluss in Informatik, Data Science, Management Information Systems (MIS), Informationsmanagement oder eine vergleichbare Qualifikation.
• Sie bringen sehr gute Python-Kenntnisse (z. B. numpy, pandas, scikit-learn, PySpark) für Datenmanipulation und ML-Workflows sowie fortgeschrittenes SQL und Erfahrung mit relationalen Datenbanken im großen Maßstab mit.
• Sie verfügen über Expertise in Machine Learning (einschließlich Deep Learning und Reinforcement Learning) – von Modellentwicklung und Evaluation über Deployment bis hin zu Interpretierbarkeit.
• Sie bringen fundierte Kenntnisse in Wahrscheinlichkeitstheorie, Statistik, linearer Algebra und Optimierung für stringentes analytisches Denken mit.
• Sie haben Erfahrung mit Cloud- und Big-Data-Ökosystemen (z. B. GCP, AWS, GPU-Computing, Hadoop) sowie in der Datenvisualisierung, um Insights wirkungsvoll zu kommunizieren.
• Sie verfügen über verhandlungssichere Deutsch- und Englischkenntnisse.

Your skills and experiences

• You hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Management Information Systems (MIS), Information Management, or a comparable qualification.
• You bring strong Python skills (e.g., numpy, pandas, scikit-learn, PySpark) for data manipulation and ML workflows, plus advanced SQL and experience working with relational databases at scale.
• You have expertise in machine learning (including deep and reinforcement learning), spanning model development, evaluation, deployment, and interpretability.
• You bring a strong foundation in probability, statistics, linear algebra, and optimization for rigorous analytical thinking.
• You have experience with cloud and big-data ecosystems (e.g., GCP, AWS, GPU computing, Hadoop) and data visualization to communicate insights effectively.
• You are fluent in German and English.

Was wir Ihnen bieten

• Emotionally balanced A positive mind helps us master the challenges of everyday life – both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings.
• Physically fit We support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition.
• Socially connected Networking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as programs that foster diversity, equity and inclusion.
• Financially secured We provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or “Deutschlandticket” as well as from exclusive employee rates and personalized financial advice through our “Mitarbeiterbank”.

What we offer

• Emotionally balanced A positive mind helps us master the challenges of everyday life – both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings.
• Physically fit We support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition.
• Socially connected Networking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as programs that foster diversity, equity and inclusion.
• Financially secure We provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or “Deutschlandticket” as well as from exclusive employee rates and personalized financial advice through our “Mitarbeiterbank”.

Company culture and diversity statement

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division. Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security.

Die Stelle wird in Voll- und in Teilzeit angeboten.