Lead Data Scientist - Model Risk Management

Our Experian Software Solutions Analytics Services Team supports analytic and generative AI products for decisioning analytics and fraud and identity globally.

As a Lead Data Scientist you will use your coding expertise (Python SAS) model risk management and Gen AI knowledge and experience and analytic consulting skills to lead client and internal engagements for Experians new global product launch and early client success efforts.

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 platform.
• Partner with Leaders Analytic Consultants Engineers Account Executives Product Managers and external partners to bring new innovative solutions to market that provide impact to Experians broad client base.
• Lead client analytic consulting engagements with financial services clients including pre-sales and demos training and client success activities to maximize client value.
• Leverage Gen AI and model development tools to create and maintain new model document templates to help clients meet Model Risk Management regulatory requirements.
• Stay informed about regulatory changes technological advancements and model risk management processes and controls to ensure the technology stack meets all compliance requirements.
• Research and integrate new data assets from different sources into Experians 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 prioritisation and product evolution of tools and capabilities supported by the Ascend Platform.

Qualifications :

• Data science background with development expertise in Python (preferred) or SAS
• Experience developing models and creating model documentation for Model Risk Management teams in credit or fraud risk and decisioning
• Understand model risk management regulatory environment and governance requirements for model documentation validation and monitoring
• Experience building analytical tools and providing product and analytic requirements in a regulatory environment
• A track record for managing complex analytical technology projects 
• The ability to present to all levels of management within Experian and clients

Additional Information :

Benefits package includes:

• Hybrid working
• Great compensation package and discretionary bonus plan
• Core benefits include pension bupa healthcare sharesave scheme and more
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

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 engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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.

Grade: C / EB7

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Remote Work :

No

Employment Type :

Full-time