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Bank of America

Risk Analysis Specialist, Level II

Bank of America

. Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses .

Posted 11/3/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Risk Analytics and Reporting, with advanced skills in SQL and Tableau for data manipulation and visualization. Proficient in analyzing portfolio trends and supporting data quality initiatives within Consumer Lending and Credit Risk domains.

Highest-signal resume keywords
Advanced SQL SkillsRisk Analytics ExperienceTableau ProficiencyData Quality TestingExperience with PowerCurve

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Risk AnalyticsRisk ReportingDecision ScienceCredit RiskOperational RiskData ReconciliationData Quality TestingAnalytical TechniquesData MiningStatistical Analysis
Soft Skills
Analytical SkillsProblem-Solving SkillsCritical ThinkingAttention to DetailCommunication Skills
Tools & Technologies
TableauPowerCurveExperian Decision AnalyticsPythonSASRAgile Methodologies
Industry Keywords
Consumer LendingMortgageCredit CardEnterprise RiskModel GovernanceData GovernanceRegulatory Expectations

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses
  • Review and analyze portfolio trends
  • Support development of complex databases or queries to extract data
  • Support production of data for internal and external reporting needs
  • Work with Technology to implement changes supporting ongoing data needs
  • Support development and execution of reporting for Risk and business partners to identify and manage risk
  • Analyze trends, data design, portfolio trends, loss trends, and portfolio dynamics
  • Provide analytical support for product strategic initiatives affecting multiple Risk functions and lines of business
  • Participate in development of database production processes and performance reports for senior management using data mining and advanced analytical techniques
  • Respond to complex ad-hoc information requests from internal and external parties
  • Support cross-functional efforts to remediate data quality issues
  • Monitor control outputs and investigate alerts from control checks

Requirements

What you’ll need
  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Information Systems, or a related field
  • 3+ years of experience in Risk Analytics, Risk Reporting, Decision Science, Credit Risk, Operational Risk, or a related analytical function
  • Advanced SQL skills with the ability to query and manipulate large relational databases
  • Experience with PowerCurve, Experian Decision Analytics, or comparable decision strategy platforms
  • Proficiency in Tableau for dashboard development and analytical reporting
  • Strong experience in report validation, data reconciliation, data quality testing, and controls
  • Experience performing UAT, parallel testing, or production validation activities
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent verbal and written communication skills
  • Demonstrated attention to detail and commitment to data accuracy
  • Experience in Consumer Lending, Mortgage, Credit Card, or Enterprise Risk functions
  • Knowledge of decision strategies and automated underwriting systems
  • Familiarity with Python, SAS, R, or advanced analytics tools
  • Experience working in Agile project environments
  • Knowledge of regulatory expectations related to model governance, data governance, and risk management

Benefits

Comp & perks
  • Affordable, competitive, and flexible benefits
  • Support for teammates’ physical, emotional, and financial wellness
  • Opportunities to learn, grow, and make an impact
  • In-office culture supporting collaboration, engagement, and career development
  • 1st shift schedule
  • 40 hours per week