OverviewThis Financial Crimes Compliance Systems Testing, AVP role is in the Global Financial Crimes Division of MUFG Bank, Ltd. This role will be required to execute testing of Financial Crimes Compliance systems and tools in accordance with the global testing plan, for MUFG locations globally.
The role includes data analysis and testing activities, including the use of SQL, Python, and related analytical tools. Candidates should be comfortable working with large datasets, tracing data flows across multiple systems, investigating issues, developing queries and scripts to support testing activities, and communicating technical findings in a clear and concise manner.
Major Responsibilities:- Perform complex data analysis of financial payment messages and related datasets using SQL, Python, and other analytical tools.
- Analyze end-to-end data lineage, system interfaces, transformation logic, and data mappings across source systems, payment platforms, screening systems, and monitoring applications.
- Develop analytical procedures, scripts, and queries to support testing of financial crimes technology controls.
- Perform data analysis of financial payment messages
- Assist in development and execution of the Global Financial Crime Systems annual testing plan
- Perform systems testing to ensure the completeness and accuracy of transaction data from primary source systems to AML/KYC and sanctions screening systems such as HotScan, Fircosoft, Actimize, or other systems
- Assist in documenting process flow(s), fully understand the IT compliance component of the systems, and analyze data input(s) and output(s) for quality, accuracy and completeness
- Prepare written reports which summarize the Objectives, Scope, Findings and Conclusions for each assigned review
- Assist in the identification of controls and compliance issues, assess and document the related risk
- Monitor developments, such as regulatory changes, payment infrastructure environment upgrades, which may necessitate ad hoc testing.
- Assist in other projects or related duties as required
Qualifications:- 3+ years of experience in Financial Services, preferably in AML, Sanctions, Wire Payments, or Correspondent Banking
- 3+ years of experience working with SQL, Python, SAS, and related tools
- Understanding of system architecture and functionalities of Financial Crime systems (such as Actimize and/or HotScan and/or any other similar systems)
- Ability to perform data analysis and develop detailed documentation around payment data flows involving settlement systems, screening and monitoring systems.
- Experience in coordinating systems testing and/or auditing environment, including test case development and review
- Knowledge of various financial payments systems such as SWIFT, FEDWIRE and CHIPS
- Strong written communication skills
- Strong problem solving and analytical skills, with the ability to work independently under minimal supervision
Education:- BA/BS Degree Required, Masters preferred
- ACAMS or relevant professional qualification is a plus
The typical base pay range for this role is between $90,000 - $118,000 depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonuses 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
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
