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Remote Analytics Manager – Risk & Pricing Lead

Armed Forces Insurance

Remote

USD 103,000 - 130,000

Full time

Yesterday
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Job summary

A military support insurance provider is seeking a knowledgeable Analytics Supervisor with a focus on risk management. This remote position requires at least 5 years of experience in pricing, risk management, or insurance analytics. The successful candidate will supervise analytics staff, develop essential recommendations, and coordinate interdepartmental efforts to meet business goals. The ideal candidate holds a Bachelor's Degree in a relevant discipline and possesses strong analytical skills, along with proficiency in statistical software and tools.

Benefits

Full benefits package
401(k) with employer match
Generous paid time off policy

Qualifications

  • 5+ years of pricing, risk management, or insurance analytics experience required.
  • Experience as Sr. Actuarial Analyst I/II or equivalent preferred.
  • Pursuing fellowship actuarial designation (FCAS) recommended.

Responsibilities

  • Supervise and mentor analytics staff to enhance risk evaluation.
  • Develop recommendations on rates and underwriting for leadership.
  • Coordinate with other units to achieve departmental objectives.

Skills

Excellent verbal communication skills
Excellent written communication skills
Detailed knowledge of MS Excel
Statistical analysis using R or Python

Education

Bachelor's Degree in Mathematics, Statistics, Actuarial Science, or Economics

Tools

MS Outlook
MS Word
MS Project
Job description
A military support insurance provider is seeking a knowledgeable Analytics Supervisor with a focus on risk management. This remote position requires at least 5 years of experience in pricing, risk management, or insurance analytics. The successful candidate will supervise analytics staff, develop essential recommendations, and coordinate interdepartmental efforts to meet business goals. The ideal candidate holds a Bachelor's Degree in a relevant discipline and possesses strong analytical skills, along with proficiency in statistical software and tools.
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