Earnix developer

HCLTech is looking for a highly talented and self- motivated Tech Lead Earnix developer to join in advancing the technological world through innovation and creativity.

Job Title: Earnix developer

Req ID: 108673

Position Type: Full-time

Location: Plano and San Antonio, TX

Onsite: Onsite (No remote)

Experience range: 10-15 years

Mandatory skills:

• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI

Job description:

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 decisions through scenario analysis, forecasting, and simulations.
• Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
• Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
• Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
• Conduct A/B testing and impact analysis for pricing changes and product enhancements.
• Automate recurring analytical and reporting processes where possible.
• Translate business requirements into analytical solutions and technical specifications.
• Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
• 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
• Related quantitative field
• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI
• Experience with:
• Regression models
• Classification models
• Forecasting techniques
• Data mining and segmentation

Pay and Benefits

Pay Range Minimum: $122,000 per year

Pay Range Maximum: $180,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

Compensation and Benefits

A candidate s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the followi14520ng benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.