Experian Consumer Information Services are looking for an Analytics Consultant to help design analytics solutions for internal and external client’s problems across the credit life cycle.
You will consult with clients to identify problems and design analytics solutions utilising your expertise in credit risk modelling and affordability solutions.
This is a Hybrid position based in Nottingham or London reporting to the Head of Bureau Analytics

Experience and Skills

• Degree or equivalent standard, with a high numeric content e.g. Mathematics, Statistics, Operational Research, Economics, Physical Sciences.
• Experience working with credit bureau data within the credit industry focused on analytics
• Knowledge of Analytics principles, concepts and practices in the field of credit risk scoring and optimisation techniques
• Experience of Experian’s products, services and cloud-based tools.
• Existing relationships across the credit industry

• Be the subject matter expertise in Experian’s products to support our clients with adoption of these products and to identify areas for improvement
• Independently manage the quality of project deliverables, meeting goals and ensuring projects are being delivered to schedule and within budget.
• Identify potential risks in achieving project timescales, taking all possible action to minimise risk.
• Develop relationships with managers and executives within client organisations to build and leverage a strong network.
• Ensure Experian’s best practice procedures are followed throughout the analytics delivery process, and that our end deliverables satisfy clients’ requirements. .
  About Experian
  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 accomplish 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.

Experience and Skills

• Degree or equivalent standard, with a high numeric content e.g. Mathematics, Statistics, Operational Research, Economics, Physical Sciences.
• Experience working with credit bureau data within the credit industry focused on analytics
• Knowledge of Analytics principles, concepts and practices in the field of credit risk scoring and optimisation techniques
• Experience of Experian’s products, services and cloud-based tools.
• Existing relationships across the credit industry.

Additional Information
Our uniqueness is that we celebrate yours. Experian’s culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s people first approach is award-winning; World’s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 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 Experian’s 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.
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