The Role

Salary range: $135,000-$185,000

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. This is a place where you can make a real impact, as opposed to getting lost as one more cog in a big machine.

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.

A Day in the Life

No two days look exactly the same, but here's what the work typically looks like:

• 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 dig into the outputs of predictive models to sanity-check the results and understand what's really driving them, not just what the model produced
• 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
• In between, there's always ad hoc work, from a client question that needs a quick turnaround to a problem nobody at KYROS (or elsewhere) has solved before
• 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.

Requirements
Basic qualifications

• Years of Experience: At least 5 years of professional experience in an actuarial role, ideally with direct client-facing responsibility
• Education: Bachelor's degree in math, actuarial science, statistics, economics or other quantitative field
• Exam Progress: Background in actuarial science with a focus on P&C; at least Exam 5 (or the equivalent standard reserving exam) passed
• Client Management: Demonstrated experience owning client relationships end-to-end - setting expectations, managing scope, and delivering results on tight timelines
• 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)
• Modeling: Solid understanding of the basics of predictive modeling, sufficient to guide, question, and validate work performed by analysts and data scientists
• Communication: Ability to clearly distill complex, technical concepts into language non-technical audiences can understand and act on
• Other: Strong communicator, growth mindset, comfortable operating with ambiguity and little day-to-day guidance
• AI Fluency: Comfortable - and enthusiastic - about using AI tools as part of the daily workflow

Bonus points if you have

• ACAS or FCAS designation
• Experience in loyalty, airline, hospitality, retail, or banking industries
• Prior experience in a small or startup-like consulting environment

Benefits

• Retirement Plan (401k with employer match)
• Qualified Small Employer Health Reimbursement Arrangement (QSEHRA)
• Discretionary PTO
• Fully remote