Fraud & Risk Data Scientist, Economic Crime Hub

eFinancialCareers; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

eFinancialCareers in London seeks a Data Scientist to design and implement data-driven tools that harness our data to prevent fraud, reduce customer harm and losses, and improve fraud decisioning.

You will work with fraud, engineering and data teams to translate challenges into measurable analytical outcomes, build scalable pipelines, train models, and monitor performance in an Agile environment. Strong STEM background and cloud experience are essential.

Qualifications

• Strong academic background in a STEM discipline with experience applying statistical modelling and machine learning to risk or fraud problems.
• Ability to translate business questions into analytical tasks and measure outcomes.
• Experience with data visualization and communicating insights to stakeholders.

Responsibilities

• Translate fraud and scam challenges into clear analytical questions and measurable outcomes.
• Build reusable data pipelines and deploy scalable ML solutions in an Agile environment.
• Develop, train and monitor ML models and AI applications balancing accuracy, risk and customer impact.
• Monitor model performance, data quality, and governance of analytical decisions.

Skills

Statistical modelling

Machine learning

Data analysis

Programming fundamentals

Ethical considerations

Education

STEM degree

Tools

Cloud platforms

Software engineering fundamentals

Job description

eFinancialCareers in London seeks a Data Scientist to design and implement data-driven tools that harness our data to prevent fraud, reduce customer harm and losses, and improve fraud decisioning.

You will work with fraud, engineering and data teams to translate challenges into measurable analytical outcomes, build scalable pipelines, train models, and monitor performance in an Agile environment. Strong STEM background and cloud experience are essential.