Consulting Actuary - REMOTE

KYROS is the only actuarial firm solely focused on loyalty programs. We’re a small, boutique, fully remote consulting firm built by actuaries and technologists who wanted to rethink how actuarial work is done.
We help your favorite frequent flyer program, hotel, bank or retail loyalty program measure and optimize the economic value that the program creates through a modern, highly technical combination of actuarial theory, machine learning, and big data technology.
As a lean and growing team, we operate much more like a startup than a large consulting firm. This is an environment for people who work efficiently, make sound decisions with incomplete information, and enjoy delivering high-quality work without layers of process or bureaucracy.
We also leverage AI in service of human potential -- not to replace our people, but to amplify what they’re already great at. It’s freed our team up to spend more time on the work only a person can do: solving hard client problems, pushing into new territory, and building real relationships. If you’re comfortable working alongside AI as part of the job, you’ll fit right in here.
We’re looking for a highly motivated actuary to help us manage and grow a portfolio of client relationships. This role is best suited for someone who thrives on being the connective tissue between technical analysis and client decision-making; someone who can own a project end to end, keep multiple workstreams moving at once, and turn complex modeling outputs into a clear, compelling story for a client. You’ll act as the primary point of contact for a set of clients, partnering with our analysts and data scientists to scope and execute actuarial analyses rooted in machine learning. This includes estimating and forecasting loyalty program liability, customer lifetime value (CLV), and other key drivers of program economics. You don’t need to write the code yourself, but you do need to understand the analysis well enough to guide it, question it, and defend it in front of a client.
Just as important as the technical fluency is the entrepreneurial mindset it takes to work here: clients bring us open-ended, sometimes non-actuarial business problems with no existing solution, and you’ll need to be comfortable building a solution in the ambiguity rather than waiting for one to be handed to you.
Even within our niche, no two engagements look alike — airline, hotel, retail, gaming, and ticketing loyalty programs all behave differently. If you’re an actuary who’s bored of running the same reserving analysis on repeat, this is about as non-traditional as actuarial work gets.
You’re the first call for a set of assigned clients, fielding quick ad hoc questions one moment and steering a multi-week project the next
You work with analysts and data scientists to translate a client’s business problem into an actuarial analysis, then build and manage the project plan to keep it on track
You synthesize those results into a clear narrative: building the slides, the talk track, and the recommendation that helps a non-technical client make a real business decision
You present to clients directly, fielding questions in real time and adjusting the story based on what matters most to them
You stay connected through a steady cadence of team standups, a structure that keeps our fully remote team organized and workloads manageable
There’s also real opportunity to shape how we work: to improve our client deliverables, contribute to internal tools like our KPI validation platform, and help define what a great client engagement looks like as we grow.
Years of Experience : At least 5 years of professional experience in an actuarial role, ideally with direct client-facing responsibility
Bachelor’s degree in math, actuarial science, statistics, economics or other quantitative field
Background in actuarial science with a focus on P&C; Business Sense : Ability to connect technical modeling work to a client’s business goals — understanding not just what a model says, but what it means and why it matters
Skills : Strong Excel and PowerPoint skills; a sharp sense for what makes a good chart, slide, or client story — including the ability to direct and critique AI-generated visuals and decks; experience with project management tools and data visualization software (e.g., Power BI)
Solid understanding of the basics of predictive modeling, sufficient to guide, question, and validate work performed by analysts and data scientists
Ability to clearly distill complex, technical concepts into language non-technical audiences can understand and act on
AI Fluency : Comfortable — and enthusiastic — about using AI tools as part of the daily workflow
Bonus points if you have

Experience in loyalty, airline, hospitality, retail, or banking industries
Prior experience in a small or startup-like consulting environment
Retirement Plan (401k with employer match)
Qualified Small Employer Health Reimbursement Arrangement (QSEHRA)
Fully remote