Insurance Risk Analyst

Placements24

Willows (CA)

Hybrid

USD 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Remote work
Health coverage
Professional development support
Bonuses

Job summary

Placements24 is seeking an highly analytical Insurance Risk Analyst to join our team remotely. You will identify, assess, and quantify risk across insurance lines using data analysis and predictive modeling to inform underwriting, pricing, and capital decisions.

This role emphasizes independent work and collaboration within a remote setup to drive profitability and strategic risk management. This position rewards a proactive, data-driven professional with strong communication skills, opportunity

Qualifications

  • Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics, Economics, or related quantitative field.
  • Proven experience in risk analysis or actuarial roles within the insurance industry.
  • Strong proficiency in statistical software (R, Python, SAS) and data visualization.
  • Experience with predictive modeling, Monte Carlo simulations, and other risk assessment techniques.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a remote work environment.

Responsibilities

  • Conduct in-depth analysis of insurance data to identify emerging risks and trends.
  • Develop and implement risk models to quantify potential losses.
  • Provide insights to underwriting, pricing, and product teams.
  • Monitor effectiveness of risk mitigation strategies and adjust as needed.
  • Prepare reports and presentations on risk exposures and management strategies.
  • Stay updated on industry best practices and regulatory changes.

Skills

Analytical thinking
Actuarial mindset
Data analysis

Education

Actuarial science / quantitative degree

Tools

R
Python
SAS

Job description

About the Role

Our client is seeking a highly analytical and insightful Insurance Risk Analyst to join their team, working entirely remotely. In this critical role, you will identify, assess, and quantify potential risks across various insurance lines, developing strategies to mitigate exposure and enhance profitability. You will utilize sophisticated data analysis techniques and predictive modeling to inform underwriting decisions, pricing strategies, and capital management. This position is ideal for a quantitative professional who thrives on uncovering trends and providing data-driven recommendations to support the company's long-term success from a remote setting .

Key Responsibilities
  • Conduct in-depth analysis of insurance data to identify emerging risks and trends.
  • Develop and implement risk models and methodologies to quantify potential losses.
  • Provide insights and recommendations to underwriting, pricing, and product development teams.
  • Monitor the effectiveness of risk mitigation strategies and recommend adjustments as needed.
  • Prepare comprehensive reports and presentations on risk exposures and management strategies.
  • Stay abreast of industry best practices, regulatory changes, and new analytical techniques.
Requirements
  • Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Proven experience in risk analysis or actuarial roles within the insurance industry.
  • Strong proficiency in statistical software (e.g., R, Python, SAS) and data visualization tools.
  • Experience with predictive modeling, Monte Carlo simulations, and other risk assessment techniques.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a remote work environment .
Benefits
  • Competitive annual salary and bonus structure.
  • Comprehensive health and wellness benefits package.
  • Significant opportunities for professional development and actuarial exam support.
  • A flexible, fully remote work arrangement.
  • Engaging work on complex challenges with a significant impact on business strategy.
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