ABOUT US
KYROS is the only actuarial firm solely focused on loyalty programs.
We are 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. We move quickly, expect a high level of execution, and rely on team members to take ownership of their work end-to-end. 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’re looking for a highly motivated actuary to help us execute a growing backlog of client projects. This role is best suited for someone who thrives in a fast-paced, hands-on environment and wants to have a real impact on both client outcomes and how our work is done. The ideal candidate has experience working with structured data, a strong understanding of how to analyze data and perform data transformations and manipulations using Python and SQL, and a strong understanding of predictive modeling.
DUTIES AND RESPONSIBILITIES
The primary responsibilities for the role are:
Executing client projects
- In this role, you’ll use Python, SQL, Apache Spark and tools developed by KYROS to build workflows to analyze, clean, and transform data; build pipelines to construct and validate machine learning models; and summarize model predictions into exhibits that guide decision making for our clients.
Supporting client presentations and ad hoc consulting requests
- This role includes client-facing work, giving you exposure to how your analyses are used and discussed with clients and opportunities to help explain complex modeling and analytical results in language that non-technical audiences can understand.
Developing new functionality
- We are continually improving our analytics platform. In this role, you will have opportunities to contribute to and influence that development by creating and providing feedback for new features and functionality, helping improve how our team works and delivers results.
QUALIFICATIONS
Basic qualifications:
- Years of Experience: At least 5 years of professional experience in an actuarial or data-focused role
- Education: Bachelor’s or master’s degree in math, economics, bioinformatics, statistics, engineering, computer science, actuarial science or other quantitative field
- Skills: Strong Python expertise; strong SQL expertise; ability to build and maintain production-quality analytical workflows; advanced Excel skills
- Modeling: Strong understanding of predictive modeling techniques used in an actuarial, data science, or predictive analytics focused role
- Actuarial Background: Direct experience building and analyzing P&C actuarial models end-to-end
- Communication: Ability to clearly explain modeling approaches, assumptions, and results to non-technical audiences
- Other: Strong communicator, growth mindset; ability to clearly explain modeling techniques, methodologies, assumptions, and results to both technical and non-technical audiences
Nice-to-haves:
- Demonstrated experience working with big data frameworks (e.g., Hadoop, Spark)
- Experience with dashboarding/data visualization (e.g., Plotly Dash, Power BI)
- ACAS or FCAS qualification
Salary range
: $135,000-$185,000