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