Data Scientist – Model Risk Management

Job not on LinkedIn

November 19

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

💵 $100.6k - $174.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Experian

WebsiteLinkedInAll Job Openings

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• 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.

🏖️ Benefits

• 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