Senior Analyst Risk Finance

Actuarial Data & Reserve Support

• Maintain and update loss data files for quarterly actuarial reserve reviews
• Coordinate with actuarial partners to ensure accuracy, consistency, and timeliness of data submissions
• Assist in analyzing loss trends and claim development to support reserve adequacy and renewal processes

SOX Controls & Financial Compliance

• Prepare and execute monthly and quarterly Sarbanes-Oxley (SOX) financial controls related to loss reporting and captive accounting
• Document and maintain control support in compliance with audit requirements
• Partner with internal and external auditors to support testing and review processes

Data Analytics & Process Improvement

• Identify discrepancies, trends, and opportunities for improvement in claims and financial reporting data
• Enhance reporting processes, controls, and data quality within risk finance systems
• Support ad hoc analysis related to insurance programs, loss experience, and risk financing initiatives

Qualifications

• Bachelors Degree in business related program or equivalent education and or work experience with an emphasis in math statistics accounting and or finance required.
• 3+ years of experience in finance, accounting, insurance, or risk management. 2 plus years of analytical experience strongly preferred.
• Strong understanding of Workers’ Compensation and Liability claims and loss data preferred
• Experience with financial controls, SOX compliance, or audit support preferred
• Advanced Excel skills with ability to manage large data sets and perform reconciliations; experience utilizing Copilot and Claude preferred
• Strong analytical, problem-solving, and communication skills

Key Success Factors

• High attention to detail and data accuracy
• Ability to manage recurring monthly/quarterly reporting deadlines
• Strong collaboration across finance, claims, and actuarial teams
• Continuous improvement mindset toward processes and controls

All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.

Relocation Assistance Eligible:

No

Work Shift:

1ST SHIFT (United States of America)

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We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.

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