AVP - Transaction Monitoring Tuning & Optimization [T500-22191]

About Us:MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.MUFG Global Service Private Limited:Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.About the Role:Position Title: Global Financial Crimes Design, Tuning and OptimizationCorporate Title: AVPReporting to: Head – GFCD Design, Tuning and Optimization Location: BangaloreJob Profile:Purpose of Role:This position will be responsible for helping to identify detection scenarios, providing analytics support for developing, tuning, optimizing and modifying segmentation to improve transaction monitoring and screening systems, customer segmentation, helping to coordinate the implementation of scenarios that detect financial crime and creating statically representative samples to ensure that risk is not missed below the threshold. The incumbent may also be called upon to support entity screening tuning and/or customer risk rating tuning. The incumbent is responsible for supporting leadership to ensure a globally consistent effort that enables continuing improvement to the transaction monitoring capabilities and further mitigate potential financial crime. Main Responsibilities:In coordination with Global and Regional Financial Crimes:Develop mathematical or statistical theory to interpret customer KYC data and historical transaction data to group customers and non-customers into segments in order to monitor their activity in the correct thresholdsIdentify relationships and trends of historical transactional data for clustering for AML transaction monitoringAnalyze the clusters/relationships and present the information to Senior Managers in the data visualization toolsCreate statistical representative samples for above/below-the-line (ATL/BTL) testing in order to validate that the transaction monitoring 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 foresr, xgboost and Bayesian networks Help develop models involving tuning, calibration, segmentation and optimization.Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.Support large strategic optimization and segmentation program to enhance and tune MUFG’s GFCD Transaction Monitoring Program.Recommend customer segmentation and optimization for MUFG’s GFCD monitoring system across multiple lines of businessCandidate ProfileSkills and knowledge:Ability to apply mathematical principles or statistical approaches where needed to solve problemsFamiliarity 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.Strong knowledge about model risk management and associated regulatory requirementsPrior experience in designing compliance program tuning and configuration methodologies, including what-if detection scenario analytics, excess over threshold, and sampling ATL/BTL testing.Ability to code using R or Python for customer segmentation and data analytics preferred. Familiarity with vendor models like Hotscan, Actimize SAM/WLF, Search Space, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and Threat Metrix.Ability to perform parameterization and threshold calibration of existing scenarios through analysis of underlying trades/orders/quotes data, alerts closure data, feedback from internal and external stakeholders Design new scenarios and/or modify existing scenario logics to enhance coverage, drawing lessons from enforcement cases, gap analyses of industry publications e.g., internal and external feedback Drive enhanced surveillance via enablement of automated monitoring via our monitoring system, fine-tuning filters, parameter thresholds to improve the quality of alerts generatedAbility to implement customer segmentation using clustering algorithm for optimization of alert generation Experience in alert risk scoring project to risk rate the alerts generated in order to reduce false positivesAbility to work with country teams to roll out customised anti-money laundering and fraud scenarios covering corporate banking and wealth management across thirteen countries in Asia Pacific regionAbility to recommend and manage changes to thresholds deployed for all scenarios found on transaction monitoring systemsConceptualize and implement analytical solutions within the AML Transactions Monitoring framework, including streamlining the detection scenarios review process and threshold optimization. Perform review and optimization on the AML Transaction Monitoring detection scenarios for efficient risk events Perform and Propose Segmentation and Rules for the implementation of the Transaction Monitoring in several countries.Proven experience in Proposing a Threshold Tuning approach for countries with small number of active customers and Recommended thresholds for 7 scenarios in 13 countries in accordance with global risk guidance Reducing the time required for ATL Threshold Tuning by 70% by automating the process using SAS macros Enabling Volume optimization and Risk mitigation for one entire line of business by developing a Case Risk Scoring tool using logistic regression. This helps FIU in prioritizing focal entity review for SAR filing. Developing scenario simulator with 100% accuracy by coding the logic specified in the TSDsConducting Initial Threshold settings for new scenarios for multiple countries Performing KPI driven tuning analysis for two regions by analyzing all the artefacts of transaction monitoring framework and Proposed recommendations for changes in thresholds/segments/scoring tools accordingly Performing extended Random Client analysis (eRCA) for monitoring the risk in Below-the-line region Working on Extended Segmentation Review that involves assessing the efficiency of existing customer segment to identify if any changes are required in the segmentation logiEducation & professional qualifications:Bachelor's degree in statistics, mathematics, quantitative analysis, economics, computer science, data and technology Sciences or related fields is required. Advance degree a plus.Experience:10-15 years’ experience designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions screening models.

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