Job
Description
The position you are applying for involves being responsible for threshold tuning, optimization of rules tuning, and existing filter platform to improve effectiveness and efficiency. You will be required to create and execute test cases and scripts for testing changes and releases. Additionally, you will need to create tailor business rules to reduce hit rate, prepare tuning data, review hit reduction strategies, and identify and mitigate sanctions risks through periodic risk assessment on algorithms and rules. It is important for you to support leadership to ensure a globally consistent effort that enables continuing improvement to the sanctions screening capabilities and further mitigate potential financial crime. Your main responsibilities will include creating and assisting with the development of Sanctions and Name Screening Tuning & Optimization Methodology, planning, designing, and developing/implementing code/configuration for Sanctions and Name screening application, performing data analysis to determine and verify business requirements/issues specification, flows and deliverables for projects, developing documentation related to production and pre-production tuning efforts and changes to sanctions and name screening systems to ensure a comprehensive audit trail, and creating statistical representative samples for ATL/BTL testing to validate that the sanctions and name screening model is effective and functioning accordingly. You will also be involved in helping develop models involving tuning, calibration, and optimization, supporting the development of policies and procedures for sanctions and name screening life cycle, and coordinating with Global Intelligence & Analytics teams to implement the global model. To be successful in this role, you should have knowledge of Sanction and Name Screening Optimization and Tuning, 314A requirements, adverse media screening, PEP screening, and sanctions screening. You should also have the ability to solve problems through mathematical and deductive reasoning. Familiarity with compliance rules and regulations of various institutions like FRB, SEC, OCC, FATF, FinCEN, OFAC, and familiarity with USA PATRIOT Act, BSA/AML, and OFAC screening regulations is essential. Additionally, working knowledge of programming platforms like SAS, Matlab, R, Python, SQL, VBA, etc., is required. You should have experience in designing compliance program tuning and configuration methodologies, as well as familiarity with vendor models such as Hotscan, Actimize SAM/WLF, RDC, Bridger Insight, ACE Pelican, T CH OFAC Screening (EPN), Fircosoft, SWIFT STS, FICO Credit/Debit, Guardian Analytics, and Threat Metrix. Strong knowledge about model risk management and associated regulatory requirements is crucial for this role. In terms of qualifications, a Bachelor's Degree in Statistics, Mathematics, or Data Analysis/Programming related degree is required, while a Master's or Doctoral degree is a plus. The ideal candidate will have 6-14 years of overall experience, with 3-14 years of experience in designing, analyzing, testing, and/or validating BSA/AML models, and/or OFAC sanctions and AML name screening models. Experience interacting with the Executive Committee Leadership, control function leadership, and compliance subject matter experts will be beneficial.,
