Operate as a bridge between the Data team and Risk team - not just to maintain what exists, but to explore what's possible.
Deeply understand Risk's problems, priorities, and workflows rather than delivering models over the fence
Build analytical and machine learning models that drive business decisions across our insurance/actuarial functions - including next-generation approaches that challenge industry conventions
Partner with our risk and insurance team to support loss modeling, pricing analyses, and portfolio performance metrics, while identifying novel data sources that haven't been leveraged in this industry
Design and run experiments (e.g. A/B tests, causal inference analyses) to measure product and pricing impacts
Translate complex analytical findings into clear recommendations for non-technical audiences
Dig into data, identify patterns, and move quickly from question to insight to action

Requirements

Solid understanding of how insurance works - loss ratios, premium calculations, claims processes, reserving concepts. A/FCAS certification would be a plus!
Experience building models for pricing, risk segmentation, or loss prediction
Comfort working with policy and claims data, understanding coverage structures, and navigating regulatory reporting requirements
5-7 years of experience in a data science, analytics, or quantitative role
Strong SQL skills and proficiency in Python for analysis and modeling
Strong Machine Learning skills - classical machine learning proficiency and at least familiarity with deep learning methodology
Ability to work autonomously-you can be a genuine member of two teams at the same time, own the bidirectional relationship, and drive toward answers without close direction
Comfort in a fast-paced environment where priorities shift and you're expected to deliver iteratively.

Benefits

Competitive cash compensation package including base salary, milestone based bonus, and other financial perks
Medical, Dental, and Vision coverage (up to 90% employer contribution) - eligible from your start date
401(k), HSA, Life & Disability Insurance Coverage ($0 employee contribution for additional insurances)
Unlimited PTO Policy
Generous Paid Parental Leave
Stock option plan to give our employees a direct stake in R + J's success
Monthly lifestyle stipend to fit your needs (meals, wellness, co-working)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata analysismodel buildingA/B testingcausal inferenceSQLPythonrisk segmentationloss predictionpricing analysis

Soft Skills

communicationautonomycollaborationproblem-solvingadaptabilityinsight generationrecommendation translationprioritizationteamworkanalytical thinking

Certifications

A/FCAS