Risk Analysis Analyst

Bank of America•Charlotte, NC
•Onsite

About The Position

At Bank of America, the Risk Analysis Analyst supports risk management and loss mitigation by developing or managing data sets, supporting reporting and analysis, and assisting with modeling activities. The role analyzes portfolio and loss trends, develops data sets or queries to extract information, and supports data curation for internal and external reporting. It also contributes statistical analysis and other insights to support effective decision-making. The position is part of the Consumer and Small Business Credit Risk Data, Reporting, and Operations team, which provides repeatable, sustainable, and well-controlled processes across Consumer and Small Business products, including Credit Cards, Home Loans, Consumer Vehicle Lending, Deposits, and Small Business solutions. The team partners with business and technology stakeholders to deliver data-driven insights, reporting solutions, and process improvements while maintaining governance and control standards. The analyst produces and maintains production-critical credit risk reports, extracts and validates data from multiple sources, performs quality assurance and control procedures, monitors portfolio trends and data quality, and supports reporting enhancements and issue resolution. The position is located in Newark, Delaware, or Charlotte, North Carolina, and is scheduled for first shift, 40 hours per week. Bank of America describes an in-office culture, with flexibility based on role-specific responsibilities and business needs.

Requirements

  • Bachelor's degree or at least 1 year of experience in financial services.
  • 0–2+ years of experience in reporting, data management, analytics, risk management, or a related area.
  • Working knowledge of SAS, SQL, Tableau, or other business intelligence tools.
  • Strong analytical and problem-solving skills.
  • Strong verbal and written communication skills.
  • Ability to perform data quality assurance, execute audit-level validations, and follow governance requirements.
  • Ability to manage multiple priorities and deliver results within established timelines.
  • Attention to detail and commitment to data accuracy.

Nice To Haves

  • Credit Risk or Consumer Lending experience.
  • Experience with Tableau, Power BI, or other business intelligence tools.
  • Experience working with large datasets and relational databases.
  • Knowledge of reporting lifecycle and production support processes.
  • Understanding of data governance and data quality concepts.
  • Experience documenting procedures and business processes.
  • Ability to identify process improvement opportunities.
  • Experience using Agile, Jira, or other project tracking tools.
  • Strong attention to detail.
  • Collaboration and partnership skills.
  • Curiosity and willingness to learn new technologies and reporting methodologies.
  • Bachelor's degree.

Responsibilities

  • Support reporting that enables risk and business partners to identify and manage risk.
  • Analyze information related to data design, portfolio trends, loss trends, and portfolio dynamics to support alignment with business strategies.
  • Assist with product strategic initiatives involving multiple risk functions and lines of business.
  • Provide analytical support and use analytical techniques to aggregate data.
  • Help respond to requests for information from internal and external parties.
  • Assist with remediating data quality issues through analytical support and cross-functional efforts.
  • Monitor control outputs and support investigations of alerts from control checks.
  • Produce and maintain monthly, quarterly, and ad hoc credit risk reports for stakeholders.
  • Execute established reporting processes using SAS, SQL, Tableau, and other reporting tools.
  • Extract, transform, reconcile, and validate data from multiple sources in accordance with governance and control standards.
  • Perform audit-level quality assurance, data validations, and control procedures to ensure reporting accuracy and data integrity.
  • Support portfolio monitoring by identifying trends, anomalies, and data quality concerns and escalating issues as appropriate.
  • Partner with business stakeholders and senior team members on reporting enhancements, issue resolution, and continuous process improvement.
  • Document procedures and support compliance with enterprise governance, risk, and regulatory requirements.

Benefits

  • Affordable, competitive, and flexible benefits.
  • Support for teammates’ physical, emotional, and financial wellness.
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