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Senior Sanctions Optimization Specialist
1 month ago
About MUFG:
MUFG is a leading financial group with over 360 years of history. With a global network spanning more than 50 markets, the company has over 180,000 employees and offers various 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 its operating companies and flexible response to all financial needs of its customers, serving society, and fostering shared and sustainable growth for a better world.
MUFG Bank, Ltd. is Japan's premier bank, offering an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide.
In Asia, MUFG has a presence across 20 markets, forming strategic partnerships with prominent banks in Southeast Asia.
Purpose of Role:
This position will be responsible for threshold tuning, optimization of rules tuning and existing filter platform to improve effectiveness and efficiency, creating and executing test cases and scripts for testing of changes and releases, creating tailor business rules to reduce hit rate, preparing tuning data, reviewing hit reduction strategies, identifying and mitigating 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
- Create and assist with the development of Sanctions and Name Screening Tuning & Optimization Methodology;
- Create and execute test cases and scripts for testing of changes and releases
- Create tailored business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies
- Plan, design, develop/implement code/configuration for Sanctions and Name screening application;
- Identify and mitigate sanctions and AML 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;
- Develop documentation related to production and pre-production tuning efforts and changes to sanctions and name screening systems to ensure comprehensive audit trail;
- Create statistical representative samples for ATL/BTL testing in order to validate that the sanctions and name screening model is effective and functioning accordingly;
- Help develop models involving tuning, calibration, and optimization.
- Support the development of policies and procedures for sanctions and name screening life cycle.
- Coordinate with Global Intelligence & Analytics teams to implement the global model.
- Work collaboratively across functional teams within FCOA and GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
Candidate Profile:
Skills and knowledge:
- Knowledge of Sanction and Name Screening Optimization and Tuning.
- Knowledge of 314A requirements, adverse media screening, PEP screening, and sanctions screening.
- Ability to solve problems through mathematical and deductive reasoning.
- Familiarity implementing, testing or evaluating performance of sanctions compliance systems.
- Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to Sanctions 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, 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
- Proven excellence in execution in complex and demanding situations
- Collaborative with strong interpersonal communication skills
- Systemic thinker across enterprise
- Process oriented coupled with a strong ability to develop appropriate program enhancing strategies
- Detail-oriented and organized execution
- Executive level presentation skills
- An Enterprise Risk Management perspective
Education & professional qualifications:
- Bachelor's Degree in Statistics, Mathematics, and Data Analysis/Programming related degree.
- Master's or Doctoral degree a plus.
Experience:
- Overall experience of 6-14 years
- 3-14 years' experience 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
