Lead Analytics Analyst / Data Scientist AFC

• Anti-Financial Crime (AFC) is responsible for identifying, assessing and managing the risks of money laundering and terrorist financing to which the Bank is exposed, using adequate and effective internal safeguards.
• A key internal security measure is the AML/CTF transaction monitoring. This is the responsibility of AFC Transaction Monitoring & Screening. Based on indicative models and research beyond, the Division recognizes evidence of money laundering and terrorist financing, which is subsequently examined by the AFC Financial Crime Operations Teams and reported to FIU in the form of a suspected money laundering report.
• The Global Risk, Intelligence and Threat Analytics function plays an essential role in the technical design of AML/CTF transaction monitoring in the AFC Transaction Monitoring & Screening area. This includes the inventory and analysis of relevant indications and typologies of money laundering and terrorist financing, the identification of the risks relevant for transaction monitoring and the derivation of the technical requirements for the indicator models.
• The Risk and Typology Coverage Assessment ("RTCA") Group is responsible for the identification of relevant customer, product, transaction and geographical risks and the indications and typologies of money laundering and terrorist financing that could subsequently occur in the institution. On this basis, the group collects the existing coverage requirements via transaction monitoring and advises the area on closing identified coverage gaps. The Risk and Typology Coverage Assessment Group also has the task of evaluating the relevance of new products and services from the perspective of the resulting transaction monitoring needs (in the framework of the so-called NPA).

Your key responsibilities

As Analytics Analyst / Data Scientist within AFC Model Development Germany/EMEA, 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 solid experience as data scientist and modeller and sound programming skills.

• responsible for the implementation of Risk and Typology Coverage Assessments in the regions of Germany, EMEA, APAC and Particularly US regions.
• responsible for the analysis of new products and services in the context of the so-called NPA and for the assessment of the resulting transaction monitoring.
• ensure adequate documentation of the results of this analysis.
• ensure an appropriate exchange of information in relation to the results of the Risk and Typology Coverage Assessments and the analysis of new products and services with contact partners within Global Risk, Intelligence and Threat Analytics, AFC Monitoring & Screening, Business Line AFC and representatives of the segments.

Your skills and experience

• completed university or university studies, Bachelor or Master's degree, ideally geopolitical, sociological or economical.
• At least 3 years of relevant professional experience in the field of anti-financial crime in the banking, financial services, or regulatory environment, in particular with regard to the identification and assessment of risks and their coverage in AML/CTF transaction monitoring.
• experience in financial crime, compliance, and banking and analyzing evidence of money laundering, terrorist financing and potentially relevant predicate offenses and assessing their relevance to different business lines within a financial institution.
• experience in Microsoft office tools particularly having advancedExcelskills.
• analytical thinking, good communication, independent working, creativity.
• good ability to present methodological relationships in a comprehensible way.
• team ability, high resilience, and responsibility.
• experience with and in the collaboration of virtual teams and flexibility to work around different time-zones are desirable.
• a very good knowledge of English in word and writing, a good knowledge of German in word and writing is desirable.