Data Scientist - Model Risk Management at Experian

Arizona City, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Model Risk Management, Analytic Consulting, Machine Learning, Python, SAS, Gen AI, Statistical Modeling, Analytical Tools, Regulatory Compliance, Documentation, Client Engagement, Cloud Computing, Big Data, Data Integration, Feedback Gathering

Industry

Information Services

Description

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 realize 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 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. This is a remote position. You will report to the VP, Applied Fraud Research and Analytics. 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. Qualifications 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. Additional Information Benefits/Perks: Great compensation package and bonus plan 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. You will be also eligible for a variable pay opportunity. 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.

Responsibilities

As a Data Scientist, you will lead client and internal engagements for Experian's new global product launch and early client success efforts. You will collaborate with various teams to design and implement machine learning and AI applications while ensuring compliance with model risk management regulations.