Manager - Transaction Monitoring Tuning & Optimization

About Us: MUFG Bank, Ltd. is Japans 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 Banks parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the worlds 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 worlds 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. MUFGs 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 MUFGs global network across Americas, EMEA and Asia Pacific About the Role: Position Title: Global Financial Crimes Transaction Monitoring Team - Manager Corporate Title: AVP Reporting to: VP Global Financial Crimes Sanctions Design, Tuning and Optimization Location: Bangalore Job Profile Position details: Purpose of Role This new position has been created for the purpose of establishing GFCD Global TM capabilities for MUFG. One of several key positions in the Global Financial Crimes Division Transaction Monitoring function, this position will be responsible for providing strategic execution of the AML control globally for MUFG. Main Responsibilities: In connection with the Global Financial Crimes program Ability to independently manage, organize, and prioritize multiple tasks, projects and responsibilities Develop mathematical or statistical theory/models to interpret customer KYC data and historical transaction data to group customers and non-customers into segments and clusters in order to monitor their activity in the correct TM thresholds. Create statistical representative samples for ATL/BTL testing using hypergeometric sampling techniques in order to validate that the transaction monitoring model is effective and functioning accordingly. Process large amount of data for statistical modeling and graphic analysis. Conduct data profiling to validate relevant data and data sets to be used for customer segmentation and tuning initiatives. Support in the creation of detail documentation which includes scenario logic, identified tunable and static parameters and minimum values for all parameters. Analyze data and sample to ensure accuracy of key data elements for alert generation Roles and Responsibilities: Skills and knowledge 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 Actimize SAM, SAS, SearchSpace, Mantas, OTUS, or SIRON. Job Requirements: Education & 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: 8-10 years experience in designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions screening models. Equal Opportunity Employer: The MUFG Group is committed to providing equal employment opportunities to all applicants and employees and does not discriminate on the basis of race, colour, national origin, physical appearance, religion, gender expression, gender identity, sex, age, ancestry, marital status, disability, medical condition, sexual orientation, genetic information, or any other protected status of an individual or that individual's associates or relatives, or any other classification protected by the applicable laws.