Job description
Experian is seeking a highly skilled and intellectually curious 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 drive strategic decision-making across the consumer credit lifecycle. The ideal candidate will have deep technical expertise in coding intelligent agents strong modeling and cloud computing acumen and a passion for applying AI to real-world marketing andchallenges in financial services.
This role reports directly to the Director of ML/AI and will collaborate closely with cross-functional teams in Marketing Product and Credit Risk.
Key Responsibilities in this role:
- 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 multiagent workflows for marketing decisioning including role specialization and conflict resolution strategies to ensure coherent end-to-end outcomes.
- Prototype and iterate on 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
- Bachelors degree in Statistics Mathematics Computer Science Data Science Engineering or a related quantitative field; Masters or PhD preferred.
- Experience implementing multi-agent workflows including agent role specialization task decomposition state management and strategies for conflict resolution and consistency of outcomes
- Strong applied expertise in statistical and predictive modeling methods (e.g. logistic regression XGBoost segmentation and propensity modeling) including model build validation and performance monitoring
- Experience applying analytics within consumer lending or financial services across the credit lifecycle (prospecting acquisition underwriting/credit risk portfolio management and collections) including familiarity 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 :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
No
Employment Type :
Full-time
Job description Experian is seeking a highly skilled and intellectually curious 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 driv...
Job description
Experian is seeking a highly skilled and intellectually curious 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 drive strategic decision-making across the consumer credit lifecycle. The ideal candidate will have deep technical expertise in coding intelligent agents strong modeling and cloud computing acumen and a passion for applying AI to real-world marketing andchallenges in financial services.
This role reports directly to the Director of ML/AI and will collaborate closely with cross-functional teams in Marketing Product and Credit Risk.
Key Responsibilities in this role:
- 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 multiagent workflows for marketing decisioning including role specialization and conflict resolution strategies to ensure coherent end-to-end outcomes.
- Prototype and iterate on 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
- Bachelors degree in Statistics Mathematics Computer Science Data Science Engineering or a related quantitative field; Masters or PhD preferred.
- Experience implementing multi-agent workflows including agent role specialization task decomposition state management and strategies for conflict resolution and consistency of outcomes
- Strong applied expertise in statistical and predictive modeling methods (e.g. logistic regression XGBoost segmentation and propensity modeling) including model build validation and performance monitoring
- Experience applying analytics within consumer lending or financial services across the credit lifecycle (prospecting acquisition underwriting/credit risk portfolio management and collections) including familiarity 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 :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
No
Employment Type :
Full-time
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