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Risk Data and Reporting Manager III

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-07
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
  • Oversee analysts delivering complex risk reporting, data, business intelligence, and related services
  • Lead operational risk domain analytics, including loss and event data, control and issue analytics, KRIs, thresholds, and limits
  • Translate operational risk concepts into measurable, data-driven insights for stakeholders
  • Partner with Technology and Data Operations to modernize and automate manual KRI and reporting processes
  • Ensure analytics are governed, controlled, and audit/regulatory ready
  • Recruit, develop, and manage analysts and analytics teammates
  • Provide leadership and direction across multiple teams for timely and accurate reports, analyses, data, systems, and operational tasks
  • Document key departmental processes and ensure appropriate controls are in place
  • Build consultative relationships with senior leaders and identify business objectives and solution requirements
  • Plan and manage complex reporting projects driven by process, system, regulatory, or organizational changes
  • Set team direction and priorities and manage deliverables against expected results
  • Identify and resolve technical, operational, risk management, business, and organizational challenges
Requirements
  • Bachelor's degree or equivalent
  • 12+ years of related experience or an equivalent combination of education and experience
  • Broad and in-depth knowledge within own professional discipline and related disciplines
  • Understanding of business and organizational strategies and processes
  • Knowledge of competition, regulatory requirements and trends, and strategies for meeting client and regulator demands
  • Strong written and verbal communication skills
  • Ability to interpret and explain complex information to varied audiences
  • Ability to influence others and handle interpersonal issues tactfully and diplomatically
  • Ability to solve unique and highly complex technical, operational, and organizational challenges
  • Ability to lead and manage team performance against financial and operational objectives
  • English language fluency required
  • Preferred: graduate degree in a related field
  • Preferred: 15 years of related experience
  • Preferred: banking experience, especially operational risk analytics, reporting, business intelligence, systems, technology, data, risk, compliance, or related areas
  • Preferred: relevant professional or technical certifications
  • Preferred: advanced data wrangling, data engineering, or data science skills
  • Preferred: experience with Python, SQL, SAS, Power BI, and Snowflake
  • Preferred: operational risk analytics experience, including operational loss and event analysis, RCSA/control and issue analytics, scenario analysis, and emerging risk identification
  • Preferred: experience converting risk taxonomy and framework concepts into measurable analytics
  • Preferred: hands‑on Key Risk Indicator (KRI) management, including metric definition, thresholds/limits, breach escalation, data sourcing and lineage, data quality, and control standards
  • Preferred: risk measurement and reporting packages for senior executives, Board and Committee audiences, regulators, or internal audit
  • Preferred: track record of moving manual reporting to automated, governed solutions
  • Preferred: people leadership experience, including leading analysts or managers, building analytics capability, managing capacity, and developing a domain-aligned team operating model
Core Competencies

Demonstrates expertise in operational risk analytics, data-driven insights, and team leadership, with a strong focus on automating reporting processes and ensuring compliance with regulatory standards. Proficient in managing complex reporting projects and building consultative relationships with stakeholders.

Highest-signal resume keywords
  • Operational Risk Analytics
  • Data Engineering
  • Python Programming
  • SQL Proficiency
  • Key Risk Indicator (KRI) Management
Hard Skills
  • Operational Risk Analytics
  • Data Analysis
  • Data Wrangling
  • Data Science
  • Loss and Event Analysis
  • Control and Issue Analytics
  • Scenario Analysis
  • Emerging Risk Identification
  • Metric Definition
  • Data Quality Management
Soft Skills
  • Strong Communication Skills
  • Interpersonal Skills
  • Influencing Skills
  • Problem-Solving Skills
  • Leadership Skills
Certifications & Qualifications
  • Relevant Professional Certifications
Industry Keywords
  • Risk Management
  • Business Intelligence
  • Regulatory Compliance
  • Banking Experience
  • Data Operations
Tools & Technologies
  • Power BI
  • SAS
  • Snowflake
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