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Risk Analysis Specialist III

Job in Glendale, Maricopa County, Arizona, 85318, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
  • Performing analytical requests, reporting and analysis, and assisting with modeling activities to help manage risk and minimize credit and operating losses.
  • Overseeing portfolio trends, developing data sets or queries to extract data, and supporting the production of internal and external reporting needs.
  • Effectively driving information and insights which have significantly impact regulatory, financial accountability, and directly impact to business policies and goals.
  • Develops and executes reporting to allow risk and business partners to effectively identify and manage risk in an effective manner.
  • Identifies trends and manages the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies.
  • Participates in various product strategic initiatives affecting multiple risk functions and lines of business to ensure company goals are met.
  • Facilitates the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data.
  • Responds to complex ad-hoc requests for information from both internal and external parties.
  • Coordinates cross-functional efforts to remediate data quality issues.
  • Manages the outputs of controls and investigates alerts from the control checks.
  • Develop, maintain, and enhance operational reporting, dashboards, and analytics that support Financial Crimes Investigations forecasting, capacity planning, workforce planning, and performance management activities.
  • Perform data analysis to identify operational trends, volume drivers, productivity impacts, staffing risks, and other factors influencing forecast and capacity planning outcomes.
  • Support forecasting and workforce planning activities by validating inputs, executing scenario analyses, interpreting results, and preparing materials used in management decision-making.
  • Build management reports, presentations, and ad hoc analyses for business partners, forecasting teams, and senior leadership.
  • Partner with business, operations, forecasting, technology, and risk stakeholders to translate business requirements into reporting and analytical solutions.
  • Create executive-level dashboards and visualizations using Tableau and develop automated analytical workflows using Alteryx to improve reporting efficiency and business insights.
  • Perform statistical analysis to evaluate trends, relationships, forecast performance, operational drivers, and other key business metrics.
  • Ensure the accuracy, integrity, and consistency of reporting through data validation, reconciliation, quality control reviews, and adherence to established governance processes.
  • Support change management and documentation for reporting assets, analytical processes, forecasting methodologies, and reporting controls.
  • Identify and implement process improvements that enhance reporting efficiency, strengthen analytical capabilities, and improve forecasting and capacity planning effectiveness.
  • Prepare, distribute, and consolidate recurring weekly, monthly, and quarterly reporting packages supporting operational performance and workforce planning activities.
  • Communicate analytical findings, risks, opportunities, and recommendations to stakeholders and senior management through presentations and executive-ready reporting.
Requirements
  • Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Finance, Business Analytics, Operations Research, or a related quantitative field – OR – equivalent experience.
  • Minimum of five years business and functional experience.
  • Experience with in Financial Crimes, AML, Compliance, Risk Management, or Banking Operations.
  • Knowledge of forecasting, workforce planning, capacity planning, and operational performance management methodologies.
  • Experience with Financial Crimes data environments and reporting repositories, including FIUDM or comparable platforms.
  • Experience utilizing Python (Preferred) for reporting automation, analytical processes, forecasting support, or scenario analysis.
  • Experience with Power BI, SAS, R, or other analytics and visualization tools.
  • Familiarity with Bitbucket, Git, Jira, or…
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