Senior AI Modeler - Consumer Lending

Experian • California, CA

2d • Hybrid

About The Position

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Experian is looking for an experienced and statistical modeler to join our Agentic AI build group. This individual contributor role will focus on developing agentic AI solutions and advanced marketing and credit risk models in the consumer lending space that move strategic decision-making across the consumer credit lifecycle. You will have deep technical expertise in coding intelligent agents, modeling and cloud computing experience, and experience with applying AI to real-world marketing andchallenges in financial services. You will report directly to the Director of ML/AI and will collaborate with teams in Marketing, Product, and Credit Risk.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Engineering or a related quantitative field; Master's.
• Experience implementing multi-agent workflows, including agent role specialization, task decomposition, state management, and strategies for conflict resolution and consistency of outcomes
• Applied expertise in statistical and predictive modeling methods (e.g., logistic regression, XGBoost, segmentation, and propensity modeling), including model build, validation and performance monitoring
• I have experience applying analytics within consumer lending or financial services. This experience spans across the credit lifecycle, including prospecting, acquisition, underwriting/credit risk, portfolio management, and collections. Additionally, I am familiar with credit bureau data and related consumer datasets.
• 3+ years of experience in statistical modeling, machine learning, agent building or advanced analytics, including delivery of solutions used in production or client-facing environments

Responsibilities

• Design, code, and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, credit risk and portfolio optimization.
• Implement cloud-based multi-agent and model services from the ground up, integrating upstream analytical outputs while maintaining production-grade software engineering standards for testing, observability, version control, and operational support.
• Apply agentic AI and swarm intelligence/multi-agent orchestration techniques to solve complex business problems in consumer lending.
• Develop predictive models using credit bureau data and other consumer datasets.
• Design, implement, and coordinate multi‑agent workflows for marketing decisioning, including role specialization and conflict resolution strategies to ensure consistent end-to-end outcomes.
• Prototype and refine intelligent agent behaviors using Python, Spark, and modern ML & AI frameworks.
• Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability, and compliance.

Benefits

• Great compensation package
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level