FP&A Consultant, Loyalty Programs

KYROS

3d•$150,000 - $200,000•Remote

About The Position

KYROS is a boutique, fully remote actuarial firm specializing in loyalty programs. We utilize a modern, technical approach combining actuarial theory, machine learning, and big data to help loyalty programs measure and optimize their economic value. Operating like a startup, we value high execution, end-to-end ownership, and efficient decision-making. We leverage AI to augment human capabilities, allowing our team to focus on complex problem-solving, innovation, and client relationships. This role is ideal for individuals comfortable working with AI, who thrive on variety, and enjoy balancing multiple priorities in a fast-paced environment.

Requirements

At least 5 years of professional experience, ideally in FP&A, financial analysis, or a related finance/strategy role.
Bachelor’s degree in math, statistics, economics, finance, or another quantitative field; strong analytical experience with a different academic background is also considered.
Direct experience with a loyalty, rewards, or points program (e.g., airline, hotel, retailer, bank) with a strong understanding of its economics and operations.
Comfort working with large transactional datasets, including aggregation, structuring, and interpretation.
Demonstrated experience in end-to-end relationship management, expectation setting, scope management, and delivering results under tight deadlines.
Ability to connect technical or financial analysis to client business goals.
Advanced Excel skills (pivot tables, complex formulas, large dataset manipulation).
Strong PowerPoint skills, including creating effective charts, slides, and client stories.
Experience with project management tools and data visualization software (e.g., Power BI).
Working understanding of predictive modeling concepts to guide and validate work.
Ability to clearly distill complex, technical concepts for non-technical audiences.
Strong communicator with a growth mindset.
Comfort operating with ambiguity and minimal day-to-day guidance.
Comfortable and enthusiastic about using AI tools in the daily workflow.

Nice To Haves

Prior experience in a client-facing consulting or advisory role.
Actuarial background or exam progress.
Prior experience in a small or startup-like consulting environment.

Responsibilities

Act as the primary point of contact for a portfolio of clients.
Partner with analysts and data scientists to scope and execute quantitative analyses using machine learning.
Estimate and forecast loyalty program liability, customer lifetime value (CLV), and other key drivers of program economics.
Translate client business problems into structured quantitative analyses and manage project plans.
Analyze and validate outputs of predictive models to understand underlying drivers.
Synthesize results into clear narratives, building presentations and recommendations for non-technical clients.
Present directly to clients, answer questions, and adjust communication based on client needs.
Handle ad hoc client requests and solve novel problems.
Participate in team standups to maintain organization and manage workloads.
Contribute to improving client deliverables and internal tools.
Help define client engagement standards as the firm grows.