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Remote Actuarial Modeler / Data Scientist | WFH

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Utah (USA), United States

Offer summary

Qualifications:

Master's or Ph.D. in relevant fields, 3+ years in actuarial modeling or data science, Proficiency in Python, R, or SQL, Strong grasp of actuarial principles.

Key responsabilities:

  • Developing actuarial models for pricing and risk evaluation
  • Analyzing datasets for strategic business insights
  • Collaborating with diverse teams for data solutions
  • Designing experiments and hypothesis testing
  • Communicating findings to non-technical stakeholders
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2 - 10 Employees
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Job description

Job Overview

We are pleased to announce an exciting opportunity for a Data Scientist/Actuarial Modeler within our esteemed Actuarial Department. This full-time, exempt position offers flexible remote or hybrid work arrangements, based out of our headquarters in Sandy, Utah. We invite applications from both internal and external candidates who embody our core values.

Key Responsibilities

In this role, you will be instrumental in enhancing our pricing functions. Your key responsibilities will include:

  • Developing and sustaining actuarial models for pricing and risk evaluation utilizing advanced statistical and machine learning methodologies.
  • Analyzing datasets to extract significant patterns and insights that inform strategic business decisions.
  • Collaborating with diverse teams, including actuaries, underwriting, and IT professionals, to embed data-driven solutions within our operational processes.
  • Designing experiments and performing hypothesis testing to validate models and improve accuracy.
  • Effectively communicating intricate technical findings and recommendations to stakeholders who may not possess a technical background.
  • Keeping abreast of trends and best practices in data science, actuarial science, and relevant regulatory standards.

Required Skills

Ideal candidates will possess:

  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and modeling.
  • A solid grasp of actuarial principles, particularly in risk assessment and financial modeling.
  • Exceptional analytical and problem-solving capabilities, complemented by a keen attention to detail.
  • Strong interpersonal skills with an aptitude for teamwork and collaboration.

Qualifications

Candidates should meet at least one of the following criteria:

  • A Master's or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a related analytical discipline.
  • Progress toward relevant professional credentials (e.g., ACAS, FCAS, CSPA).
  • A demonstrated history of a minimum of 3 years in actuarial modeling, pricing, statistical analysis, or data science roles within the property and casualty insurance sector.

Career Growth Opportunities

This position is designed to provide significant opportunities for professional development and skill enhancement through close collaboration with cross-functional teams, thereby enriching your experience in actuarial modeling and data science.

Company Culture and Values

We are firmly dedicated to fostering a diverse, inclusive, equitable, and secure workplace for all employees. Our team places a high value on collaboration and is committed to creating a supportive environment for all.

Networking and Professional Opportunities

Joining our team opens doors to extensive networking opportunities and collaboration with industry professionals, which can greatly enhance your career trajectory.

Diversity & Inclusion Commitment

We are committed to promoting and embracing diversity and inclusion within our workforce, ensuring a safe and equitable workplace for everyone.

Equal Opportunity Employer

We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, age, national origin, veteran status, or disability that can be reasonably accommodated, or any other basis prohibited by federal, state, or local law.

Employment Type: Full-Time

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving
  • Detail Oriented
  • Analytical Thinking
  • Professionalism
  • Teamwork
  • Verbal Communication Skills

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