Senior Scoring Analyst

The Senior Analyst will be a key member of the Modelling team responsible for developing and maintaining models across the credit lifecycle. This role requires strong analytical capabilities deep industry knowledge and the ability to work collaboratively in a fast-paced environment.

• Build and maintain models used throughout the credit lifecycle.
• Apply advanced statistical and mathematical techniques to solve business problems.
• Collaborate with cross-functional teams to ensure model relevance and accuracy.
• Present findings and recommendations to stakeholders with clarity and impact.
• Stay up to date with industry trends and credit environments.
• Building Custom and Bureau scorecards (Credit Granting models)
• Book Evaluation and Pricing exercises
• Scorecard Monitoring Building new Credit Products
• Building alternative data scores (non-credit data)
• Ability to interpret data and extract valuable customer insights
• Get involved in regulatory analytics exercises such as FLI LGD and other auditing queries

• Bachelors degree in Mathematics Statistics Data Science or Engineering (with high mathematical content).
• Minimum of 8 years experience in analytics or mathematical environments.
• At least 5 years experience in Credit Bureau or Auditing teams.
• Strong coding skills preferably in Python. Other relevant languages: SAS R SQL.
• Familiarity with Databricks.
• In-depth knowledge of the credit industry.

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.

Remote Work:
Yes

Employment Type:

Full-time

Key

Skills:

Splunk, IDS, Microsoft Access, SQL, Cybersecurity, Intelligence Experience, Malware Analysis, Tableau, Analysis Skills, SAS, Data Analysis Skills, Analytics

Department /

Functional Area:

Analytics