Profile cover
C

AI Policy Renewal Risk Predictor

Quilvex Systems

Remote · $130k – $160k / year · Full-time · Posted 5 months ago

No longer accepting applications

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

An insurance carrier's most profitable moment is policy renewal — no acquisition cost, known risk profile, and established relationship. But 22% of policies don't renew, and carriers often don't know why until the customer is already gone. Our renewal risk model predicts non-renewal 60 days before expiration, giving retention teams enough time to intervene. The prediction features combine policy characteristics (coverage type, premium changes, claims history), behavioral signals (payment patterns, service interactions, quote comparisons), and market context (competitor pricing, regulatory changes). You'll build the model that turns these heterogeneous signals into calibrated risk scores that agents use to prioritize outreach. The insurance analytics team is six people. You'll be the senior modeler working with an actuary who validates risk assumptions and a retention strategist who designs the interventions triggered by model scores.

Fully remote.

Responsibilities

  • Build renewal risk prediction models from policy, behavioral, and market signals
  • Design features capturing early warning signs of non-renewal
  • Calibrate risk scores for actionable retention intervention thresholds
  • Measure intervention effectiveness for model-triggered outreach
  • Validate predictions against realized renewal outcomes
  • Collaborate with actuaries on risk assumption validation

Requirements

  • 5+ years in predictive analytics with insurance or financial services focus
  • Experience with survival analysis, churn modeling, or retention prediction
  • Strong Python, SQL, and distributed computing skills
  • Understanding of insurance operations and policy lifecycle
  • Ability to calibrate predictions for business decision thresholds

Benefits

  • Fully remote with quarterly team meetings
  • Competitive salary plus annual bonus
  • Comprehensive health, dental, and vision
  • 401(k) with 5% match
  • $4,000 annual professional development fund

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Categories

AI & Machine Learning Engineers Data Science & Analytics

Skills

python pytorch sql spark statistics

Related remote AI jobs

Nearby roles that share similar skills, categories, or hiring intent.

Browse all jobs

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Pathrobotics

Full-time Senior

Senior Product Analyst

Constructor

Full-time Senior

Senior Data Analyst: Multiple Teams

Constructor

Full-time Senior

Staff Data Scientist

Gradientai

Full-time Staff

Staff / Principal Full Stack AI Engineer

Brighthire

Full-time Principal

Senior/Staff Full Stack AI Engineer

Brighthire

Full-time Staff

Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI & Machine Learning Engineers Data Science & Analytics

Skills

python pytorch sql spark statistics docker

Ready to apply for this role?

Create a free talent account.

  • Find AI roles in one place
  • Get AI-matched job recommendations
  • Reply to companies that message you
  • Build your public AI talent profile
Create free profile and apply Log in

This role is closed. Create your free profile to apply to similar open roles.

Don't miss the next one: get matched to new roles like this.

Create free profile