Fraud & Risk Data Scientist - ML for Payments (Hybrid)

Visa; Cambridge; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Visa, via its Featurespace fraud and risk unit in Cambridge, is seeking a Data Scientist to join a dedicated team. You will build and deploy ML models across the full lifecycle, collaborating with product and engineering teams, monitoring models in production, and contributing to governance and knowledge sharing in a hybrid work setup.

You will work with colleagues who have deep fraud and risk experience, taking ownership of end-to-end analytical products and driving impact for customers and the

Qualifications

• Experience implementing machine-learning models or analytical algorithms in software.
• Experience using Python, Java or another major programming language for data analysis or machine learning.
• Experience using SQL to analyse data.
• Practical experience working with large, diverse datasets.
• Strong analytical and problem-solving skills, particularly for data-centric problems.
• The ability to pick up new technologies and concepts quickly.
• Experience collaborating with multiple stakeholders on technical projects.
• Clear and concise written and verbal communication.
• The ability to manage and prioritise your own work.
• A degree in a scientific or numerate discipline, or equivalent professional experience.

Responsibilities

• Develop ML models using rich and complex transactional datasets.
• Work with customers, product managers, engineers and delivery teams to turn real-world problems into effective fraud and risk prevention products.
• Take models from discovery and experimentation through to production.
• Monitor deployed models, investigate changes in performance and identify opportunities for improvement.
• Retrain, enhance and safely release models as data, customer needs and fraud patterns evolve.
• Measure and communicate the impact of our fraud and risk prevention products.
• Contribute to model governance, documentation and robust production processes.
• Share knowledge, mentor colleagues and help improve how the team works.

Skills

ML models

Python/Java

SQL

Large datasets

Analytical thinking

Learning agility

Stakeholder collaboration

Communication

Self-management

Education

Degree in a scientific or numerate discipline

Job description

Visa, via its Featurespace fraud and risk unit in Cambridge, is seeking a Data Scientist to join a dedicated team. You will build and deploy ML models across the full lifecycle, collaborating with product and engineering teams, monitoring models in production, and contributing to governance and knowledge sharing in a hybrid work setup.

You will work with colleagues who have deep fraud and risk experience, taking ownership of end-to-end analytical products and driving impact for customers and the