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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data remediation analysis and compliance with FDIC Part 370, ensuring data accuracy and usability across deposit account records. Proficient in developing business requirements and implementing data management frameworks while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Data Remediation AnalysisFDIC Part 370 ComplianceAdvanced Analytical SkillsData Management FrameworksSQL Experience
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 AnalysisData ModelingData ProfilingETL ProcessesData Quality RulesStatistical AnalysisProgramming LanguagesData MappingData WranglingBusiness Requirements Development
Soft Skills
Organizational SkillsEffective CommunicationMentoring SkillsTime ManagementCollaborative Work
Tools & Technologies
ExcelVisualization ToolsAnalytical Software ToolsMS OfficeTD Tooling
Certifications & Qualifications
Undergraduate DegreeTechnical Certificate
Industry Keywords
Financial InstitutionsLending AccountsDeposit AccountsData GovernanceData Lifecycle ManagementRisk ManagementData SourcesBig Data TechnologiesData RepositoriesMarket Trends
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance
- Research and perform quality assurance on account and customer data concerns
- Identify exception populations
- Develop and maintain recurring reports highlighting data issues requiring remediation
- Enhance the completeness, accuracy, traceability, and usability of deposit account records
- Support FDIC 370 reporting, ongoing testing, and certification readiness
- Analyze business and data requirements to develop complete business solutions, including data models and business rules
- Apply automation and innovation on data platforms and development projects
- Design and implement complex business data information management frameworks
- Collaborate with technology and business partners to resolve issues and meet established SLAs
- Provide analysis and requirements for data design and development initiatives
- Develop business requirements by researching, analyzing, and documenting business data requirements
- Provide expert guidance for data impact assessments and data risk mitigation
- Implement data information management standards and data quality rules, thresholds, and assessments
- Maintain knowledge of upstream data sources and data across platforms
- Identify critical data elements supporting data governance and data management frameworks
- Ensure data is retained and disposed of in compliance with enterprise standards and policies
- Perform data profiling using TD tooling and ad hoc query languages
- Support the data lifecycle by resolving data issues and helping users interpret data
- Lead root-cause investigations and ensure data issues are resolved
- Support knowledge transfer and data expertise activities
- Participate as a subject matter expert in cross-functional and enterprise initiatives
- Conduct functional or enterprise-level analysis and make recommendations
- Monitor emerging issues, trends, and evolving regulatory requirements
- Maintain risk management and control processes
- Participate fully as a team member and support a positive, collaborative work environment
- Share industry knowledge and participate in knowledge transfer
- Mentor others and contribute to team development
- Keep stakeholders informed about project status and daily activities
- Build productive relationships with internal and external business partners
- Act as a brand ambassador for the business area and bank
Requirements
What you’ll need- Undergraduate degree or Technical Certificate
- 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
- Experience with data remediation within financial institutions highly preferred
- Thorough understanding of lending and deposit accounts
- Ability to understand relational data sets and pinpoint specific scenarios
- Outstanding organizational skills and effective time management
- Expertise in Excel
- SQL experience considered a valuable asset, but not required
- Expert-level conceptual and practical knowledge in own area of specialty
- Advanced analytical and problem-solving skills
- Fluency in one or two programming languages
- In-depth experience working with very large datasets
- Familiarity with big data technologies
- Familiarity with visualization tools
- Knowledge of data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes
- Knowledge of data modeling capabilities
- Knowledge of data road maps and information management strategies
- Proficient knowledge of data sources, tools, and technologies used in preparing summaries and reports
- Knowledge of current and emerging competitor and market trends
- Skill in analytical software tools, data analysis methods, and reporting techniques
- Skill in mentoring/coaching others
- Skill in computer applications including MS Office
- Effective oral and written communication
- Ability to work collaboratively and independently
- Sound judgment in decision-making
- Ability to analyze, organize, and prioritize work while meeting multiple deadlines
- Ability to handle confidential information with discretion
Benefits
Comp & perks- Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
- Banking benefits and discounts
- Career development
- Reward and recognition
- Regular career, development, and performance conversations
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Employee assistance with workplace accommodations
- Remote work arrangement