MUFG
Assistant Vice President for Transaction Monitoring Design, Tuning, and Optimization
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.
Job responsibilities:
This position will provide analytic support for developing, tuning and optimizing the bank’s name screening, sanction transaction filtering and AML transaction monitoring systems to effectively detect potential financial crime. This include creating or modifying system rules, parameters, and settings to meet the bank’s requirements.
The incumbent will be responsible for supporting the Regional Lead to ensure a globally and regionally consistent effort that enables continuing improvement for tuning and optimization capabilities.
In coordination with the Global Financial Crimes Division (GFCD), this position will:
Support the development of relevant policies and procedures, including but not limited to conducting coverage reviews and risk assessments.
Support a strategic optimization and segmentation initiative to enhance MUFG’s financial crime monitoring systems. .
Assist in development of models involving tuning, calibration, segmentation, and optimization.
Work collaboratively with Financial Crimes staff in MUFG’s APAC branches as well as across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
Job requirements:
Solid understanding of financial crime and compliance systems for Transaction Filtering, Customer Screening, Transaction Monitoring and KYC systems.
Minimum 3 years of working experience with vendor models like Actimize SAM/WLF or SearchSpace or CGI Hotscan.
Minimum 1 year of experience designing, analyzing, testing and validating AML or sanction models or systems. Minimum 1 year of experience designing and implementing compliance program tuning and configuration of methodologies, including what-if detection scenario analytics, excess over threshold, and sampling for ATL/BTL testing.
Proven track record of strong quantitative testing and statistical analysis techniques.
Familiarity implementing, testing, or evaluating performance of financial crime and compliance systems.
Ability to code using Alteryx or Python for data analytics preferred.
Knowledge of SWIFT standards for payment processing systems
Additional skills
Proven excellence in execution in complex and demanding situations.
Collaborative with strong interpersonal communication skills.
Process oriented coupled with a strong ability to develop appropriate program enhancing strategies.
Demonstrated ability to manage multiple projects simultaneously; detail-oriented; ability to work autonomously and initiate and prioritize own work.
Executive level presentation skills; ability to prepare analytical reports and visual representation of information.
A systemic, Enterprise-wide Risk Management perspective.
Solid judgment, strong negotiating skills, and a practical approach to implementation – including knowledge of Bank systems.
We regret to inform that only shortlisted applicants will be notified.
Mitsubishi UFJ Financial Group (MUFG) is an equal opportunity employer. We view our employees as our key assets as they are fundamental to our long-term growth and success. MUFG is committed to hiring based on merit and organsational fit, regardless of race, religion or gender.
