Manager- Sanctions Screening & Optimization

About the role

Position Title: GFC Sanctions Screening Tuning Team - Manager Corporate Title: AVP Reporting to: VP - Global Financial Crimes Sanctions Design, Tuning and Optimization Location: Bangalore Job Profile Purpose of Role This new position has been created to establish GFCD's for the purpose of establishing GFCD Operations Intelligence & Analytics capabilities for BTMU. One of several key positions in the new Global Financial Crimes Division Operations function, this position will be responsible for (1) threshold tuning, (2) optimization of rules tuning and existing filter platform to improve effectiveness and efficiency, (3) create and execute test cases and scripts for testing of changes and releases (4) create tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies (5) identify and mitigate sanctions risks through periodic risk assessment on algorithms and rules. The incumbent is responsible for supporting leadership to ensure a globally consistent effort that enables continuing improvement to the sanctions screening capabilities and further mitigate potential financial crime. Main Responsibilities In connection with the Global Financial Crimes program - Ability to independently manage, organize, and prioritize multiple tasks, projects and responsibilities Create and execute test cases and scripts for testing of changes and releases Create tailored business rules to reduce hit rates, prepare tuning data, reviewing hit reduction strategies Plan, design, develop/implement code/configuration for Sanctions screening application; Identify and mitigate sanctions risks through periodic risk assessment on algorithms and rules; Perform data analysis to determine and verify business requirements/issues specification, flows and deliverables for projects. Produce meaningful reports from output of Sanctions screening for reporting to senior management Create statistical representative samples for ATL/BTL testing in order to validate that the sanctions screening model is effective and functioning accordingly. Process large amounts of data for statistical modeling and graphic analysis. Perform model validation, memorializing model selection rationales and defined assumptions. Develop and test experimental designs, sampling techniques, and analytical methods in order to monitor new typologies and emerging risks. Develop data mining methodologies, including logistic regression, random forest, xgboost and Bayesian networks Help develop of models involving tuning, calibration, segmentation and optimization. Support the development of policies and procedures for sanctions screening life cycle. Coordinate with regional Intelligence & Analytics teams to implement the global model. Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities. Candidate Profile Skills and knowledge Knowledge of Sanction Screening Optimization and Tuning. Knowledge of mathematics particularly statistics. Ability to code using R or Python for customer segmentation and data analytics. Ability to solve problems through mathematical and deductive reasoning. Familiarity implementing, testing or evaluating performance of financial crime and compliance systems. Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to BSA/AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc. Familiarity of current compliance rules and regulations of the FRB, SEC, OCC, FATF, FinCEN, OFAC, and familiarity with USA PATRIOT Act, BSA/AML and OFAC screening regulations. Prior experience designing compliance program tuning and configuration methodologies, including what-if detection scenario analytics, excess over threshold, and sampling above/below-the-line (ATL/BTL) testing. Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python, SQL, VBA, etc. Familiarity with vendor models like Hotscan, Actimize SAM/WLF,

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Additional Information

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

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