Overview
In this role you will build market-leading fraud models for Equifax UK, leveraging diverse data sources and cloud tooling. You will work with cross-functional teams to deliver AI/ML-driven scoring solutions that protect consumers and businesses. You’ll explore feature engineering, segmentation and challenger experiments to maximize predictive power, while aligning with risk and regulatory guidelines. This is a chance to shape next-generation fraud analytics within a collaborative, growth-focused environment.
Pay / Benefits
- contributory pension
- life cover
- income protection
- healthcare
- 26 days holiday
- birthday day off
Responsibilities
- Develop market-leading consumer and commercial fraud models and related indicators
- Combine multiple data sources (consumer bureau data, postcode insights, open source and partnerships data) to enhance predictive power
- Apply traditional modeling (logistic regression) and modern AI/ML methods (gradient boosting, random forests, clustering)
- Utilise cloud-based technologies and test-and-learn champion/challenger approaches for model development
- Create new features/attributes to improve model performance and support other analytical products
- Perform segmentation to optimise model and score performance across sub-populations
- Collaborate with Product Managers, Model Risk Management, Pre-Sales, Compliance and Technology to deliver scores and products
- Document model development for peer review and Model Risk Management
- Share best practices with Data Scientists globally and maintain adherence to development policies and procedures
Key requirements
- Experience using credit bureau data in statistical fraud models
- Extensive experience developing statistical models and scores in fraud (consumer and commercial)
- Numerate with a relevant degree (2:1 or above)
- Proficiency with analytical tools (Python, SAS, BigQuery, Jupyter, SQL)
- Experience developing regression models and scores (logistic)
- Experience handling large/complex datasets and creating master datasets
- Experience across fraud types (consumer, commercial, AML, KYC)
- Excellent communication and ability to work with minimal supervision
- Understanding of regulatory landscape affecting consumer and commercial credit
- team player
- effective communicator
- creative and innovative thinker
- Python
- SAS
- BigQuery
Data Scientist - Fraud in Leeds employer: Equifax
Equifax is an exceptional employer that empowers its employees to reach their full potential while fostering a collaborative and innovative work culture. As a Business Development Manager, you will enjoy a comprehensive benefits package, including flexible working options, generous holiday allowances, and extensive personal development opportunities through our global learning platform. Join us in London, where you can make a meaningful impact in the fraud and identity solutions space while being supported by a diverse and inclusive environment.
