Senior Analytics Consultant

November 4

Apply Now
Logo of Experian

Experian

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

• Reporting to the VP of Analytics Consulting, you will design, deliver and provide client consultation for FSD Analytics engagements, including proof of concept tests, score builds and validations, product development, portfolio profiling, marketing, credit risk and trend analysis. • Lead client analytical and modeling projects from solution design and data integrity evaluation through documentation and implementation. • Demonstrated experience in consumer lending marketing analytics, including campaign performance analysis, segmentation strategy, and ROI optimization. • You will be a hands-on coding internal SME for cloud-based Python and Spark coding efforts, with a focus on scalable, production-ready solutions. • Apply advanced analytics to consumer lending datasets, using domain expertise in credit risk, loan performance, and borrower behavior. • Collaborate with all partners to define analysis parameters, performance measures, and requirements for advanced analytic and reporting projects. • Support departmental leadership in achieving strategic goals. • Contribute to business development and product improvement plans to increase revenue. • Ensure the high-quality execution of projects aligned with client goals. • Support sales and marketing teams by translating client needs into viable analytical solutions. • Represent us in internal and external speaking engagements.

🎯 Requirements

• Background in consumer lending analytics, including marketing and credit risk modeling, portfolio analysis, and lifecycle strategy • Expertise in advanced Python programming, including experience with data manipulation, modeling and deployment in cloud environments • Proficient in using big data platforms for scalable analytics and deployment • Hands-on experience building agentic AI frameworks or tools, including autonomous agents • 3+ years of experience designing and coding autonomous AI agents using frameworks such as LangChain or AutoGen

🏖️ 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

Apply Now

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