Rhino + Jetty is making housing more affordable and accessible for millions of renters each year. We’re the market-leading rental housing platform building simpler, more accessible ways for people to move into homes — and for property managers to lease with confidence.

Our technology removes friction from the move-in process, lowers upfront costs for renters, and helps property managers make faster, more accurate decisions. We support a network of 3 million rental units nationwide and work with 47 of the NMHC Top 100 property owners, including Greystar, Brookfield, Asset Living, UDR, and more.

We pioneered security deposit insurance and continue to push the industry forward with a growing suite of products — from deposit management to lease guarantees and loss-of-employment protection. We’re growing quickly, tackling real problems at scale, and building technology that’s changing how renting works.

This role will be a core member of the Data team, reporting to the Head of Data. The team builds and maintains our data infrastructure and delivers machine learning and analytics that drive business decisions.

In this role you will:

• 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

We’re ideally seeking:

• 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

Compensation & Benefits:

Base Salary Range: $130,000 - $170,000

Rhino + Jetty has partnered with a number of compensation benchmarking tools to determine competitive and fair market pay bands for our size and stage. Our goal is to ensure each employee is paid equitably and competitively while also maintaining a consistent and standardized methodology.

Individual pay decisions are based on a number of factors including qualifications for the role, experience level and balancing internal equity relative to other teammates.

Base salary is just one part of our Total Rewards Package here at R + J. In connection with this position, we also offer:

• 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)