Name List Screening (NLS) and Transaction Screening (TS) Model Strats

Job Title Name List Screening (NLS) and Transaction Screening (TS) Model Strats Location London Corporate Title Associate   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 GSA team as part of a global model strategy and deployment of NLS and TS. You will be familiar with financial crime processes, 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 on key model initiatives within a cross-regional team and contribute directly to Deutsche Bank’s risk mitigation efforts against financial crime. You will support model development efforts, model effectiveness testing & tuning, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What we’ll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre. You can expect:   Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days’ holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year Your key responsibilities Support the design and implementation of the model framework for NLS and TS including coverage, data, model development and optimisation. Document model inputs (clients, transactions, lists), model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards. Perform model testing & tuning including all performance monitoring activities for NLS. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of NLS screening models. Participate in research projects on innovative solutions to make detection models more pro-active Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Experience in data analytics or screening model development. Subject Matter Expertise and industry knowledge of key financial crime risks, screening systems and associated data, including lists and screening platforms provided by industry vendors Experience of utilizing Machine Learning and Artificial Intelligence in financial crime scenarios. Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS. Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively How we’ll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous