Lead Data Scientist - Fraud

TN United Kingdom; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Join a leading digital bank as a Fraud Data Scientist, where you'll develop innovative fraud detection strategies and collaborate with teams to enhance financial crime prevention. This role offers a unique opportunity to impact the bank's future while working in a flat-structured, agile environment.

Qualifications

• Knowledge of fraud and financial crime processes.
• Experience in team development and management.

Responsibilities

• Develop and implement fraud detection strategies.
• Conduct analytics to support fraud products and operations.
• Collaborate with fraud risk teams to ensure model effectiveness.

Skills

Analytical Skills

Communication

Education

Master’s degree in a quantitative or STEM field

Job description

Job Description: Fraud Data Scientist at JPMorgan Chase

Join our innovative digital bank, Chase UK, as a Fraud Data Scientist within the International Consumer Bank. We are committed to delivering seamless mobile banking experiences and are building the bank of the future with a start-up mentality, offering you the chance to make a significant impact.

Your role involves developing end-to-end solutions using cloud-native microservices architectures, focusing on the entire SDLC lifecycle, from design to deployment. You will be part of a flat-structure organization, working closely with a collaborative team dedicated to enhancing fraud detection and prevention.

Key Responsibilities:

1. Develop and implement fraud detection strategies and rules to identify fraudulent activities effectively.
2. Conduct analytics to support fraud products, operations, and financial crime prevention, safeguarding customer and bank interests.
3. Support fraud operations teams by translating strategies into actionable insights to improve efficiency and decision-making accuracy.
4. Collaborate with second-line fraud risk teams to ensure the effectiveness of models, rulesets, and strategies.
5. Ensure compliance with audit, control frameworks, and regulatory standards through data-driven verification.
6. Communicate findings and strategies effectively with management and partners, demonstrating excellent written and oral skills.

Minimum Qualifications and Skills:

• Master’s degree in a quantitative or STEM field such as statistics, computer science, or data science.
• Knowledge of fraud and financial crime processes and products.
• Experience in team development and management.