Methodology outputs are used to drive process improvements and timely detection and reporting of errorsUses methodology outputs, including analytical tools and testing scripts, to drive process improvements and timely detection of errorsCommunicates effectively to explain the rationale, methodology details, and results to a broad set of audiences, including key senior stakeholders across the Bank, auditors, and regulatorsApplies experience in process and operational excellenceRequired Education & Experience:Bachelor's degree or above in fields including, but not limited to, Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, or Business Administration, or equivalent work experienceRequired Skills:Understanding of SAS programming (ability to interpret SAS logs)Strong experience with UNIX/Linux environmentsExperience supporting batch processes (Autosys or similar scheduler)Ability to troubleshoot and debug production issuesSQL experience (preferred)Process Design: Ability to understand how work is executed within an organization, evaluate efficiencies, and identify areas for overall process improvement and growthTest Development: Ability to design and document tests used to measure the effectiveness of the Bank's processes and controls, as well as adherence to applicable laws, rules, regulations, and internal policies and proceduresTest Reporting: Ability to produce testing results, reporting, and data-driven insights for the test inventoryTest Development Life Cycle: Understands the end-to-end test development life cycle, from test request to development, execution, and dissemination of results. Collaborates with cross-functional teams to meet testing objectivesProgramming Languages: Strong computational programming skills using programming languages or scripts such as Spark, R, C, Java, YAML, and othersPython: Strong programming skills using Python and its packagesSoftware Engineering: Understands the software engineering life cycle and can apply it to daily coding activitiesDatabase Administration: Experience developing and maintaining complex databases and data setsAutomation: Ability to design, deploy, and refine predictive programming algorithms to minimize repetitive tasks and increase capacity by using real-time data to recognize patternsBusiness Acumen and Domain Knowledge: Deep understanding of the product, the underlying business, and associated technical domainsProblem Solving: Approaches challenges creatively and effectively, even under constraintsGrowth Mindset: Continuously explores new technologies, frameworks, and best practices to stay ahead of industry trendsAttention to Detail: Writes clean, maintainable code and proactively identifies and resolves issuesShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age.