Actuarial Analyst

Job Description

We are seeking a detail-oriented Actuarial Analyst to join our team in Indianapolis. In this role, you will analyze financial data, assess risks, and develop predictive models to inform key business decisions. The ideal candidate should possess strong analytical skills and have experience in actuarial processes.

Responsibilities

• Analyze financial data and create models to predict future outcomes.
• Contribute to the development of pricing strategies based on detailed analyses.
• Provide insights on risk assessment to management and operational teams.
• Prepare reports summarizing actuarial findings and recommendations.
• Work closely with data scientists to enhance data collection and validation processes.
• Participate in cross-team projects, providing actuarial expertise.

Requirements

Education

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field
• Master's degree is a plus

Experience

• 0-3 years of experience in actuarial analysis or relevant field

Technical Skills

• Excel
• SQL
• R or Python

Soft Skills

• Analytical Thinking
• Communication
• Teamwork

Certifications

• Associate of the Society of Actuaries (ASA)
• Fundamentals of Actuarial Practice (FAP)

Languages

• English: Fluent

Advantageous

• Experience with statistical analysis software: Knowledge of tools like SAS or SPSS for statistical analysis.
• Familiarity with regulatory frameworks: Understanding of compliance and regulatory requirements in the actuarial field.

Benefits

• Competitive salary with performance bonuses
• Health, dental, and vision insurance
• 401(k) plan with company match
• Generous paid time off
• Professional development opportunities

Company Culture

• Innovation: We encourage creative problem-solving and innovative thinking within our team.
• Collaboration: Teamwork is at the heart of our success; we work together to achieve our goals.
• Commitment to Diversity: Our company values diversity and inclusion, promoting a workplace where everyone belongs.