Full-Time Data Scientist - Model Risk Management
Experian is hiring a remote Full-Time Data Scientist - Model Risk Management. The career level for this job opening is Experienced and is accepting Arizona, AZ based applicants remotely. Read complete job description before applying.
Experian
Job Title
Data Scientist - Model Risk Management
Posted
Career Level
Full-Time
Career Level
Experienced
Locations Accepted
Arizona, AZ
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Job Details
Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally.
As a Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts.
You'll have opportunity to:
- Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.
- Lead client analytic consulting engagements with financial services clients, including pre-sales and demos, training, and client success activities to maximize client value.
- Deliver presentations on analytic results to clients and end-users, translating complex findings into actionable insights.
- Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market that provide impact to Experian's broad client base.
- Use Gen AI and model development tools to develop new model document templates and strategies to help clients meet Model Risk Management regulatory requirements.
- Stay informed about regulatory changes, technological advancements, and model risk management processes to ensure the technology stack meets all compliance requirements.
- Research and integrate new data assets from different sources into Experian's ML and AI platform.
- Develop and assess analytic tools developed internally and externally.
- Gather feedback from internal and external clients to guide new product development, feature prioritization, and product evolution of tools and capabilities supported by the Ascend Platform.
Requirements:
- 6+ years of experience in analytical roles, with experience applying data insights to business problems.
- Advanced degree in Data Science, Mathematics, Statistics, or a related field and a track record for managing complex analytical technology projects.
- Experience with technologies allowing end-to-end model risk governance, including documentation, testing, approval, and monitoring workflows.
- Understand model risk management regulatory environment and governance requirements for model documentation, validation, and monitoring.
- Statistical modeling experience using Python or SAS and creating model documentation for Model Risk Management teams in credit or fraud risk and decisioning.
- Experience building analytical tools and providing product and analytic requirements in a regulatory environment.
- Proficiency in at least one programming language (Python or SAS preferred) and familiarity with best coding practices.
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time Data Scientist - Model Risk Management at Experian is
18th of December 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
Arizona, AZ
] applicants. .
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