FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Credit Risk Review and Data Analytics, with a strong focus on developing scalable analytical solutions, enhancing reporting accuracy, and implementing data quality controls. Proficient in advanced SQL, Python, and data visualization tools to support risk management and independent assessments.
Highest-signal resume keywords
Advanced SQL ProficiencyData AnalyticsCredit Risk ManagementAutomation Solutions DevelopmentRisk Reporting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisRisk Indicators DevelopmentETL ExperienceData Quality ControlComplex Query WritingData Lineage TracingAnalytical MethodologiesDashboard DevelopmentStatistical AnalysisData Integration
Soft Skills
Analytical SkillsProblem-SolvingCritical ThinkingCommunication SkillsCollaboration
Tools & Technologies
Power BITableauAlteryxSASSnowflake
Industry Keywords
Credit Risk ReviewRisk ManagementFinancial ServicesRegulatory GuidancePortfolio MonitoringCommercial BankingLeveraged LendingConsumer CreditRisk OversightIndependent Review
Tech Stack
Tools & technologiesETLPythonSQLTableau
About the role
Key responsibilities & impact- Design, develop, and maintain independent reporting and analytics supporting Credit Risk Review activities
- Produce risk intelligence, portfolio monitoring, trend analysis, and management reporting on credit risk exposures and emerging risks
- Develop dashboards, scorecards, and analytical tools for continuous monitoring, risk assessments, review planning, and executive reporting
- Analyze data to identify themes, concentrations, outliers, and trends requiring independent review or challenge
- Develop risk indicators, monitoring metrics, and analytical methodologies
- Lead automation and process-streamlining initiatives across the Credit Risk Review organization
- Develop scalable solutions improving data quality, reporting accuracy, efficiency, and consistency
- Improve data sourcing, integration, governance, and reporting infrastructure with stakeholders
- Support independent credit-risk assessments through data analysis and objective reporting
- Develop portfolio-monitoring frameworks for early identification of emerging credit risks
- Deliver analyses for review planning, thematic reviews, and ongoing challenge activities
- Prepare analytical materials for senior management, governance committees, and stakeholders
- Support risk intelligence, independent reporting, continuous monitoring, and analytical capability development
- Collaborate with review teams to translate business and portfolio risks into scalable analytical solutions
- Monitor industry trends, regulatory expectations, and emerging analytical techniques relevant to credit risk review
- Help establish reporting, data analytics, and risk intelligence best practices
Requirements
What you’ll need- Bachelor's degree in Finance, Economics, Risk Management, Data Analytics, Information Systems, Statistics, or a related discipline
- 5+ years of experience in Risk Management, Credit Risk, Credit Risk Review, Data Analytics, Business Intelligence, Audit, or related financial services functions
- Experience building, enhancing, and automating management reporting dashboards and analytical solutions using large datasets
- Hands-on experience accessing databases and working with relational data structures, schemas, keys, joins, and data models
- Advanced SQL proficiency, including complex query writing, optimization, troubleshooting, extraction, joining, aggregation, and validation of large datasets
- Ability to trace data lineage, document transformations, and map critical data elements and system flows
- Working knowledge of borrower, facility, exposure, collateral, risk-rating, performance, and portfolio data
- Hands-on ETL or data-preparation experience across multiple sources
- Ability to reconcile large datasets, identify data-quality issues, investigate variances, and implement data-quality controls
- Proficiency in Python or a comparable scripting language for automation
- Ability to translate business and risk needs into scalable, maintainable technical solutions
- Experience enabling AI or GenAI use cases through data preparation, workflow integration, testing, validation, and human oversight
- Ability to monitor, support, and troubleshoot production analytical and automation solutions
- Strong analytical, problem-solving, and critical-thinking skills
- Experience supporting risk management, risk oversight, audit, review, or independent challenge functions
- Ability to synthesize complex information into clear, actionable insights for multiple audiences
- Preferred: experience in Credit Risk Review, Credit Risk Management, Commercial Banking, Leveraged Lending, Commercial Real Estate, Consumer Credit, or other banking risk disciplines
- Preferred: direct experience supporting second-line risk management or independent review functions within banking
- Preferred: proficiency with Power BI, Tableau, Alteryx, SAS, Snowflake, or comparable platforms
- Preferred: knowledge of credit risk metrics, portfolio monitoring, risk rating systems, concentration analysis, and risk reporting
- Preferred: familiarity with regulatory guidance applicable to Credit Risk Review and independent risk oversight
- Preferred: experience with risk intelligence, continuous monitoring, and emerging risk identification frameworks
Benefits
Comp & perks- Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives
- Benefits for which this position is eligible (specific benefits list referenced but not provided)
- Flexible work options in circumstances where the role can be performed effectively in a mobile environment