Enterprise Data & Tool Risk Analyst

City National Bank of Florida

. Support day-to-day administration of City National Bank’s Tool Risk Management Program .

Posted 11/9/2026full-timeCoral Gables • Florida • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Tool Risk Management, Data Analytics, and Data Governance, with a strong focus on tool validation, risk classification, and compliance with regulatory standards. Proficient in utilizing analytical tools and programming languages to support risk assessments and data management initiatives.

Highest-signal resume keywords

Tool Risk ManagementData AnalyticsPython ProgrammingSQL ProgrammingPower BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementETL/ELT PipelinesData Quality TestingTool ValidationData ClassificationAnalytical Tool DevelopmentRisk AssessmentData Lineage TestingControl TestingDashboard Reporting

Soft Skills

Analytical SkillsDocumentation SkillsCommunication SkillsDetail-OrientedExecution-Oriented

Tools & Technologies

Microsoft FabricAzureSnowflakePower BITableauSASServiceNow IRMCollibra

Industry Keywords

Operational RiskData GovernanceEUC/UDA ControlsRegulatory ComplianceGLBASOXBCBS 239Data Management Core Requirements

Tech Stack

Tools & technologies

AzureETLPythonServiceNowSnowflakeSQLTableau

About the role

Key responsibilities & impact

Support day-to-day administration of City National Bank’s Tool Risk Management Program
Maintain the enterprise tool inventory, including tool use, ownership, location, risk classification, validation status, development, use, and retirement stages
Execute annual tool ownership attestations by distributing requests, tracking responses, following up with tool owners, and identifying new, changed, or retired tools
Perform initial model-versus-tool identification and preliminary tool classification for Director review
Analyze proposed risk classifications and validation timing, documenting observations for review and challenge
Support interdisciplinary risk assessments for RPAs and AI Agents before implementation
Maintain the Tool Validation Schedule and flag significant changes or increased risks requiring additional validation
Perform or support tool validation activities, including review of design, input data, control effectiveness, benchmarking, independent recalculations, and tool use and reporting
Test access governance over tool data, including RBAC, least privilege, and periodic User Access Reviews
Prepare validation workpapers and evidence for Critical and Material tools
Review tool documentation for completeness and follow up on gaps
Maintain the Master Tool Change Log and support tool change risk assessments and approvals
Test tool owners’ change logs and EUC/UDA controls, including inventory completeness, documentation, version control, access restrictions, and periodic revalidation
Create and report KRIs, KPIs, and program metrics for tool risk and data management programs
Support independent 2LOD oversight, analysis, and testing of the Data Management Program
Review data management policies and standards through comparisons, gap analyses, and draft comments
Review first-line self-assessments, control evidence, and remediation plans; document observations and potential issues
Perform data lineage and traceability testing to confirm critical report figures trace to authoritative sources
Track findings, action plans, reschedules, and delayed items and prepare risk acceptance documentation
Produce dashboards and reporting packages for the Operational Risk Committee, MERC, and BERC
Maintain risks, issues, and evidence on the enterprise risk/GRC platform, such as ServiceNow IRM
Support audits and regulatory examinations by compiling inventories, evidence, and documentation
Monitor regulatory developments including FFIEC, GLBA, SOX/FDICIA, and BCBS 239

Requirements

What you’ll need

2-4 years of work experience in data analytics, data engineering, data management/governance, model/tool risk management, operational risk, or internal audit, preferably within financial services
1-2 years of experience testing or reviewing tools/spreadsheets, performing control testing, or supporting a data management, data quality, or EUC/UDA program
Hands-on experience in data analytics, including sourcing, transforming, analyzing, and interpreting data to support risk and business decisions
Experience reviewing or building analytical tools, reports, and dashboards, with the ability to assess their design, logic, and control effectiveness
Languages: Python, SQL, and R
Platforms: Microsoft Fabric, Azure, and Snowflake
Data Engineering: ETL/ELT pipelines and pipeline orchestration, data modeling & warehouse architecture, and data quality & validation
Analytics and Business Intelligence: Power BI, Tableau, and SAS
Knowledge of tool/model risk management concepts: tool identification, classification (materiality and complexity), validation, and conclusion/grading systems
Familiarity with EUC/UDA controls, including inventory, risk tiering, documentation, access, version control, change management, and periodic revalidation
Ability to assess tool design, input data quality and integrity (ETL), syntax/code correctness, control environment, and tool use and reporting
Understanding of the Data Management Core Requirements — classification, data quality dimensions, metadata/lineage, access controls, and retention (GLBA/SOX) — and BCBS 239 principles for verifying data used by tools
Exposure to metadata management, business glossaries, data lineage and traceability, and data catalog tooling (e.g., Collibra)
Familiarity with data classification and handling, data privacy and sharing controls, retention schedules, legal holds, and secure disposal requirements
Understanding of data certification, User Acceptance Testing, and preventive controls within data pipelines
Understanding of data governance roles, including Data Governance Councils, Data Management Offices, Data Domain Owners, and Data Stewards
Ability to test data quality dimensions (accuracy, completeness, timeliness, consistency, validity, uniqueness) and analyze data quality scorecards and exception reporting
Working knowledge of change management, access control (RBAC, UARs), and vendor risk management controls for internal and third-party tools
Strong analytical, documentation, and communication skills; able to challenge first-line owners respectfully and articulate findings to management
Detail-oriented, execution-oriented, and able to manage multiple validations and program activities to deadlines
Bachelor's Degree in Finance, Data Analytics, Information Systems, Computer Science, Mathematics/Statistics, Risk Management, or a related field

Benefits

Comp & perks

Hybrid workplace policy
Equal Opportunity Employer
Reasonable accommodations for the interview process in accordance with applicable law