Check with seller GFCD, Transaction Monitoring Team, Analyst New York

  • Location: New York, New York, United States

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world (as ranked by S&P Global, April 2018). In the Americas, we’re 14,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, developing positive relationships built on integrity and respect. It’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. We’re a team that accepts responsibility for the future by asking the tough questions and owning the solutions. Join MUFG and be empowered to make your voice heard and your actions count.

Job Summary:
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.

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