Financial Crimes Transaction Monitoring Tuning & Optimization, Vice President - Hybrid (TX, AZ)
Job description
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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 6th largest financial group in the world. Across the globe, we're 160,000 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.
This is a hybrid position. The recruiter will provide additional details.Reporting into the Head of Financial Crimes Transaction Monitoring, this new position has been created 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) helping to identify detection scenarios, (2) provide analytics support for developing, tuning, optimizing and modifying segmentation to improve transaction monitoring and screening systems, (3) customer segmentation (4) helping to coordinate the implementation of scenarios, which detect financial crime and (5) create statically representative samples to ensure that risk is not missed below the threshold. 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.
Major Responsibilities:
- In connection with the Global Financial Crimes program - 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 thresholds.
- Identify relationships and trends of historical transactional data for clustering for AML transaction monitoring.
- Analyze the clusters/relationships and present the information to Senior Managers in the data visualization tools.
- Create statistical representative samples for ATL/BTL testing 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.
- 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 of 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 business.
- Coordinate with regional Intelligence & Analytics teams to implement on the global model.
- Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
Qualifications:
- Knowledge of mathematics; particularly statistics.
- Ability to code using SQL, R, or Python for customer segmentation and data analytics.
- 3 plus years' experience designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions screening models.
- 5 plus years' of financial services data analytics or statistics experience
- 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.
- Familiarity with vendor models like Hotscan, Actimize SAM/WLF, SearchSpace, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and ThreatMetrix.
- Bachelor's degree in statistics, mathematics, quantitative analysis, economics or related field is required.
- Experience interfacing with banking regulators and enforcement staff.
We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.
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