Full Stack Software Engineer

Summary

Join Experian as an experienced Full-Stack Software Developer to support our growing Experian Housing and Verification Business, improving Mortgage Capital Market solutions through design, implementation, and automation of data and platform solutions.

Requirements

• Advanced degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or Economics)
• Basic experience with API services (Restful) for data ingestion
• Fundamental experience with Large Language Models and GenAI for augmenting data solutions
• 5+ years of experience in analytics in financial services and/or the mortgage industry
• Advanced experience with Python API (PySpark), SQL, scripting languages (e.g., Python), and familiarity with statistical/mathematical programming languages (e.g., R, SAS)
• Experience with front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js
• Experience in cloud-based development environments and automation tools such as AWS and Airflow
• Background in ML Ops and end-to-end modeling platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML)
• Experience with data visualization and dashboarding tools such as Tableau (preferred)
• Expertise in statistical analysis, machine learning techniques, predictive modeling, and data mining
• Experience communicating updates and resolutions to customers and other partners to both technical and non-technical audiences

Responsibilities

• Understand the analytic and product needs of the mortgage servicing and capital markets industry
• Work with the product team to understand the customer problem, requirements and brainstorm on solution
• Design cost-effective solutions and create an incremental delivery plan
• Support analytical projects from solution design to implementation, ensuring data integrity and automation
• Architect and build data pipelines and platform design to help deploy data solutions from back-end databases and data lakes to front-end platform UI
• Develop and maintain data pipeline infrastructure and front-end solutions
• Experience approaching a problem from different angles, analyzing pros and cons of different solutions and data products and services
• Develop dashboards and reports using data visualization tools
• Communicate analysis results to internal users through presentations
• Evaluate new data sources and apply machine learning, deep learning, data mining, and text mining techniques to uncover data value
• Collaborate with a team of consultants, statisticians, analysts, and project managers
• Manage project queues and develop streamlined workflows with teams

Benefits

• Medical insurance
• Life insurance
• Dental insurance
• Asociacion Solidarista
• International Share Save Plan
• Flex Work/Work from home
• Paid time off
• Annual Performance Bonus
• Education Reimbursement
• Family Bonding
• Bereavement Leave
• Referral Program