Quantitative Developer; Trading and Client Controls

Responsibilities

• Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank
• The TaCC team sits within Deutsche Bank’s GSA. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving complex quantitative encounters
• The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving
• You will be responsible for driving the development of our core models and controls to help identify fraud. As part of this, you will take ownership of a problem set, manage stakeholders, and drive growth of a high-quality code base
• Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice
• Drive the technical integration and migration of new, complex data source systems into our existing data pipelines and model ecosystems
• Develop and evolve platform reporting statistics/data to monitor ongoing model success
• Engage key stakeholders to understand needs and requirements
• Provide guidance on usage and translating needs for changes/ new models into technical proposals

Demonstrated experience with data integration, Extract, Transform Load(ETL)/Extract Load Transform (ELT) processes, and data quality assurance, especially involving new data source systems. Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively. Relevant experience conducting data science or model development in a business setting. Educated to bachelor’s degree level or equivalent qualification/relevant work experience.

Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management). Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy).