Screening Model Data & Model Engineer f/m/x Anti-Financial Crime

Job Description

Deutsche Bank (DB) benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping DBs business operations and global financial services clean from financial crime while serving the interestsof the bank and society. In order to combat financial crime effectively and respond to challenges in a flexible manner, AFC has a matrix structure combining regional, business line and global functional coverage in our core areas of Anti-Money Laundering , Sanctions & Embargoes , Anti-Fraud,Bribery & Corruption , Investigations & Intelligence , Monitoring & Screening, and Risk Assessment . Part of our commitment is to strengthen a strong collaboration with all business lines and support functions within our bank. What AFC will do for you AFC helps Deutsche Bank generate long-term trust and add value for our clients, staff and society and provide challenging opportunities for you to learn, contribute and benefit from your journey with us. We foster an open and inclusive team culture with theaim to build and maintain a healthy, engaged and well-supported diverse workforce that is equipped to do their best and enjoy their lives inside and outside the workplace, whilst applying the highest standards of conduct to guarantee DBs success in fightingfinancial crime. Deutsche Bank and its staff are committed to compliance with all applicable laws and official regulations. Restrictive measures under embargoes and sanctions are usually implemented by means of statutory regulations, and the Sanctions and Embargoes Programis aimed at ensuring that DB Group and its staff fully comply with all sanctions, embargoes and other regulations in force in their jurisdictions. To this end, DB established a global sanctions function with dedicated accountabilities and responsibilities,and a range of policies (Global Sanctions Policy; OFAC Policy) in order to establish the minimum standards applicable to mitigate the regulatory and reputational risks associated with violations of sanctions law and regulations. What well offer youA 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. Thats why we are committed to providing an environment with your development and wellbeingat its center. You can expect

• 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

• Building, configuring, and testing name and transaction screening models. Creating auditable and traceable documentation of data pipelines, queries and visualizations. Implementation of data load schedules and data transformations
• Supporting validations and changes to existing screening models
• Collaborating within the function to ensure new data elements used in models, changed data requirements and features are appropriately controlled to ensure nominal model operation
• Optimize/tune models using SQL and Spark and enhance coverage where gaps or issues are identified. Implementation of data quality rules using SQL or similar
• Investigation of new and emerging evasion tactics for sanctions and AML detection mechanisms and implementation of emerging typologies
• Periodic model monitoring to detect drift and other model metric changes, investigate these and action on any mitigation required. Build MI/Reporting data schemas or ad-hoc report for regulators and senior internal stakeholders

Your skills and experience

• Strong Analytics skills (using Tableau) including data modeling, data engineering, advanced SQL knowledge, Python or Go and use of analytics platforms such as Cloudera Data Science Workbench (CDSW) or similar. GitHub, Kaggle or similar profiles welcome.Familiar with Linux and Unix shell scripting
• Experience in machine learning operations (ML Ops), model engineering and creating UX design for MI and reporting purpose
• Demonstrated ability to productionize, deploy and operate models, preferable in a regulated function
• Experience with Fircosoft, RDC, HotScan or related name/transaction screening and negative news screening systems
• Mathematics, statistics or engineering background preferred
• Previous exposure speaking to global regulators and explaining model design and failures

How well support you

• Coaching and support from Name List Screening and AFC experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teamsDeutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank & Diversity Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teamsto drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and arecommitted to providing a working environment free from harassment, discrimination and retaliation. Click here to find out more about diversity and inclusion at Deutsche Bank What we will offer you https://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 Laura Czerwinski . Contact: Laura Czerwinski ( +49(151) 1683 0913 ) Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teamsto drive business results and encourage our