Senior AI Modeler - Consumer Lending
Gabi
Company Description
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.
Job Description
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.
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.
Qualifications
Qualifications
- 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
Additional Information
Benefits/Perks:
- 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
- Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.
Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.