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ChatGPT Jobs · 3 days ago

Data Scientist - Model Risk Management

Yuma County, AZ

Full-time

Hybrid

Senior Level

6+ years exp

Experian is a global leader in data analytics and decisioning, and they are seeking a Data Scientist for their Model Risk Management team. The role involves leading client engagements, collaborating with various teams to implement machine learning solutions, and ensuring compliance with model risk management regulations.

Computer Software

Responsibilities

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

Qualification

Model Risk ManagementStatistical ModelingPythonAnalytic ConsultingSASMachine LearningCloud Computing (AWS)Presentation SkillsCollaborationFeedback Gathering

Required

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