Consulting Actuary

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Oversee and expand a portfolio of client relationships

• Act as the main point of contact for designated clients

• Collaborate with analysts and data scientists to define and carry out actuarial analyses leveraging machine learning

• Forecast and estimate loyalty program liabilities, customer lifetime value (CLV), and other essential factors influencing program economics

• Guide, question, and justify analyses and modeling results to clients

• Develop solutions for open-ended, at times non-actuarial business challenges

• Address ad hoc client inquiries and manage multi-week projects

• Convert client business challenges into actuarial analyses and oversee project timelines

• Review predictive model outcomes to validate results and grasp their underlying factors

• Summarize findings into presentations, discussion points, and recommendations tailored for non-technical clients

• Deliver presentations to clients, respond to inquiries in real-time, and modify recommendations based on client priorities

• Engage in team standups to keep the fully remote team organized and workloads balanced

• Enhance client deliverables and assist in developing internal tools such as the KPI validation platform

• Help establish best practices for client interactions as the company continues to grow

⛳️ Requirements

• Minimum of 5 years of professional experience in an actuarial capacity, preferably with direct client interaction

• Bachelor’s degree in mathematics, actuarial science, statistics, economics, or another quantitative discipline

• Background in actuarial science with a focus on Property & Casualty; at least Exam 5 (or its equivalent standard reserving exam) completed

• Proven experience managing client relationships from start to finish—setting expectations, controlling scope, and delivering results under tight deadlines

• Capability to link technical modeling tasks to a client’s business objectives

• Proficient in Excel and PowerPoint

• Ability to oversee and critique AI-generated visuals and presentations

• Familiarity with project management tools and data visualization software (e.g., Power BI)

• Solid grasp of the fundamentals of predictive modeling

• Ability to clearly convey complex, technical ideas in a manner that non-technical audiences can comprehend and act upon

• Strong communicator with a growth mindset, comfortable navigating ambiguity and minimal day-to-day oversight

• Eager and comfortable with incorporating AI tools into daily tasks

• ACAS or FCAS designation is a plus

• Experience in loyalty, airline, hospitality, retail, or banking sectors is advantageous

• Previous experience in a small or startup-like consulting environment is a bonus

🏝️ Benefits

• Retirement Plan (401k with employer match)

• Qualified Small Employer Health Reimbursement Arrangement (QSEHRA)

• Discretionary PTO

• Fully remote