Director of Predictive Analytics - Insurance

At Orion180, we don’t just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.

Orion180 is proud to call three vibrant cities home. Our headquarters on Florida’s stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.

JOIN OUR TEAM AS DIRECTOR OF PREDICTIVE ANALYTICS

At Orion180, we believe the future of insurance belongs to organizations that can transform data into a deeper understanding of risk. Predictive and predictive modeling are not a support function—they are core strategic capability dictates how we grow, price risk, optimize our portfolio, and maintain a sustainable competitive advantage.

As the Director of Predictive Analytics for property catastrophe insurance, you will lead our data science and modeling teams to measure, price, and manage risks from natural catastrophes and man-made hazards. In this role, you will shape Orion180's "view of risk" by overseeing the development of advanced AI-driven statistical and machine learning models that influence underwriting strategy, ratemaking, portfolio management, claims forecasting, and business planning.

Positioned as a key leader within Enterprise Risk Management, you will drive initiatives that support our expansion into new markets and products. This role is both strategic and hands-on, offering a unique opportunity to join a growing organization where your work has direct executive visibility and measurable business impact.

WHAT YOU’LL DO:

• Predictive Model Development: Build and oversee machine learning models to predict the frequency and severity of property damage from natural disasters.
• Catastrophe Modeling Management: Establish and lead an analytics team to develop high-resolution supplementary analytical tools, underwriting solutions, pricing frameworks, and hazard maps.
• Exposure & Risk Validation: Assist the exposure management and risk accumulation teams in validating and adjusting vendor and in-house models to develop a consistent view of climate risks, pricing, reserving, and capital models.
• Stakeholder Communication: Translate complex analytical findings and modeling concepts into clear, actionable business strategies for executive leadership.
• Cross-Functional Collaboration: Partner closely with Underwriting, Actuarial, Claims, Finance, and Risk Management teams to ensure pricing and risk appetite align with corporate goals.

WHAT WE’RE LOOKING FOR:

Education & Experience

• Master’s degree in Statistics, Data Science, Mathematics, Engineering, Actuarial Science, or a related quantitative field with 7+ years of relevant experience (PhD preferred).
• Proven track record of developing, deploying, and monitoring predictive models within the property catastrophe insurance space.
• Deep understanding of global reinsurance markets, regulatory environments, and commercial vendor models (e.g., RMS, AIR Worldwide, KatRisk).

Technical Skills

• Programming & Frameworks: Proficiency in Python, R, and SQL, along with machine learning frameworks (e.g., scikit-learn, Random Forests, XGBoost).
• Statistical Modeling: Advanced knowledge of pricing models, Generalized Linear Models (GLMs), and time-series forecasting for claims or weather-driven perils.
• Geospatial Analytics: Background in GIS and geospatial modeling.
• Cloud & MLOps: Experience building scalable data pipelines and managing models within cloud environments (AWS, Azure, or GCP) using MLOps tools (e.g., MLflow, SageMaker, Vertex AI).
• Governance: Familiarity with insurance model governance, compliance, and documentation standards

WHAT’S IN IT FOR YOU:

Join Our Team & Make an Impact! At Orion180, we don’t just meet expectations, we exceed them. If you’re ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!

• Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
• Compensation: Competitive base pay and performance bonuses.
• Career Growth: Mentorship, growth tracks, and professional development.
• Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative.  An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands. 

While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones.  In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.  

Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. 

Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email [email protected] to request assistance.