earnix rating developer

Subject: Earnix / Rating Developer | San Antonio / Plano, TX (Onsite) | H1B | W2

Earnix / Rating Developer

Location: San Antonio / Plano, TX — Onsite 4 Days

Employment Type: W2

Visa: H1B

Mode of Hire: 6 Months C2H — Consent Required

Experience: 6–10+ Years

Mandatory Skills

Pricing Analytics

Predictive Modeling

Data Science

Insurance / Financial Services Analytics

Statistical Analysis

Machine Learning

Data Visualization

SQL

Python or R

Excel

Tableau / Power BI

Job Summary

We are seeking an experienced Earnix / Rating Developer with strong expertise in pricing analytics, predictive modeling, data science, and statistical analysis. The ideal candidate will develop and optimize pricing and predictive models, analyze large datasets, support pricing strategy decisions, and collaborate with business and technical teams to implement data-driven pricing solutions.

Key Responsibilities

Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.

Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.

Support pricing strategy through scenario analysis, forecasting, and simulations.

Build dashboards, reports, and visualizations for business stakeholders.

Collaborate with business, underwriting, product, and engineering teams.

Validate model performance, accuracy, consistency, and compliance with governance standards.

Conduct A/B testing and impact analysis for pricing and product changes.

Automate recurring analytical and reporting processes.

Translate business requirements into analytical solutions and technical specifications.

Monitor market trends, competitor pricing, and customer behavior.

Recommend pricing adjustments based on analytical findings.

Support regulatory and audit requests related to pricing models and data usage.

Required Qualifications

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Actuarial Science, Engineering, or a related quantitative field.

3+ years of experience in pricing analytics, predictive modeling, or data science.

Insurance or financial services analytics experience preferred.

Strong knowledge of statistical analysis, predictive modeling, machine learning concepts, and data visualization.

Proficiency in SQL, Python or R, Excel, and Tableau or Power BI.

Experience with regression models, classification models, forecasting techniques, data mining, and segmentation.

Important Requirements

H1B

W2

6-month C2H — consent required

San Antonio / Plano, TX

4 days onsite

6–10+ years overall experience

Strong pricing / rating analytics background required.

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