Financial Crimes - Transaction Monitoring Tuning & Optimization, Analyst

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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

  • Assist with the development of 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

  • Assist with the identification relationships and trends of historical transactional data for clustering for AML transaction monitoring

  • Assist with the analyzation the clusters/relationships and present the information to Senior Managers in the data visualization tools

  • Assist with the creation of statistical representative samples for ATL/BTL testing in order to validate that the transaction monitoring model is effective and functioning accordingly.

  • Assist with the processing of large amount of data for statistical modeling and graphic analysis.

  • Assist with performing model validation memorializing model selection rationales and defined assumptions.

  • Assist with the development and testing of experimental designs sampling techniques and analytical methods in order to monitor new typologies and emerging risks.

  • Assist with the development of data mining methodologies including logistic regression random foresr xgboost and Bayesian networks

  • Assist with the development of models involving tuning calibration segmentation and optimization.

  • Assist with the development of policies and procedures for AML transaction monitoring life cycle including reviews of scenario validation segmentation and optimization tools.

  • Assist with large strategic optimization and segmentation program to enhance and tune MUFGs GFCD Transaction Monitoring Program.

  • Assist with providing recommendations related to customer segmentation and optimization for MUFGs GFCD monitoring system across multiple lines of business.

• Assist with coordination 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:

Experience/Skills

• 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.

• 0-2 years experience designing analyzing testing and/or validating BSA/AML models and/or OFAC sanctions screening models.

• 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 Hotscan Actimize SAM/WLF SearchSpace RDC Bridger Insight ACE Pelican TCH OFAC Screening (EPN) FICO Credit/Debit Guardian Analytics and ThreatMetrix.

• Strong knowledge about model risk management and associated regulatory requirements

• Bachelors degree in statistics mathematics quantitative analysis economics or related field is required. Advanced degree preferred.

• Experience interacting with the Executive Committee Leadership control function leadership and compliance subject matter experts

• 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

Additional skills

• Experience interfacing with banking regulatorsand enforcement staff

• Thorough understanding of an effective financial crimes risk management framework

• Demonstrated ability to manage multiple projects simultaneously

• The ability to interact effectively at all levels of the organization including Bank staff management directors and prudential regulators

• Ability to work autonomously and initiate and prioritize own work

• Ability to work with teams of project managers

• Solid judgment strong negotiating skills and a practical approach to implementation including knowledge of Bank systems

• Ability to balance regulatory requirements with the best interests of the Bank and its customers

• Ability to prepare analytical reports and visual representation of information.

• Ability to apply mathematical principles or statistical approaches where needed to solve problems.

Education

Minimum Bachelors Degree in Computer Science Data Analytics Statistics or comparable field.

Masters or Doctoral degree in Statistics or comparable field a plus.

The typical base pay range for this role is between $68K - $78K depending on job-related knowledge skills experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits retirement plans educational assistance and training programs income replacement for qualified employees with disabilities paid maternity and parental bonding leave and paid vacation sick days and holidays. For more information on our Total Rewards package please click the link below.

MUFG Benefits Summary