At a Glance
- Tasks: Transform business needs into data-driven insights and lead complex analytical projects.
- Company: Global banking client with a focus on innovation and analytics.
- Benefits: Competitive day rate, hybrid work model, and opportunity to work with cutting-edge data technologies.
- Other info: Join a dynamic team with opportunities for professional growth and development.
- Why this job: Make a real impact in consumer lending by driving insights from complex datasets.
- Qualifications: Strong analytics experience, advanced coding skills in SAS, SQL, or Python, and knowledge of consumer lending.
The predicted salary is between 66000 - 99000 £ per year.
My global banking client, is looking for a contract Lead Insights Analyst to join the team. 6 month contract on a Hybrid basis 3 days a week in office, based in their Birmingham or Sheffield or Leeds or Chester offices.
Day rate - up to £830 umbrella Strong analytics or risk analytics experience, ideally within consumer lending (secured or unsecured).
An understanding of consumer lending products, profitability and credit risk and proven ability to drive rapid insights from available data to drive business forward is critical.
Proven ability to extract, analyse and interpret large, complex datasets to generate actionable business insights.
Advanced coding skills in SAS, SQL, Python (or similar) for data extraction, validation and analysis.
Deep understanding of data platforms and technologies (relational, No SQL, data warehouses, metadata and transformation tools).
Experience delivering analytics projects across teams, with awareness of FCA regulation in a lending environment.
Highly self-motivated, detail-oriented and able to work independently under pressure to tight deadlines Responsibilities Translate business needs into data products, analytics and machine-learning solutions.
Build and maintain data assets, models and metadata to global standards.
Deliver insights across lending, consumer behaviour, marketing, pricing and growth.
Develop predictive, forecasting and stress-testing models on large datasets.
Lead complex analytical projects, clearly communicating risk, reward and customer impact. #J-18808-Ljbffr
