Fraud & Economic Crime Data Scientist

eFinancialCareers; Manchester; On-site; GBP 60,000 - 90,000; Full time

Job summary

eFinancialCareers is seeking a Data Scientist for our Economic Crime Hub in Manchester. You will design and implement data science solutions to prevent fraud, reduce customer harm and financial losses, and improve fraud decisioning.

You will collaborate with Fraud, Engineering and Data communities to promote data literacy, support governance and drive a data-driven culture across business stakeholders.

Qualifications

• Strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science.

Responsibilities

• Design and implement data science tools to harness data for fraud prevention and reduced financial losses.
• Collaborate with Fraud, Engineering and Data teams to identify opportunities and support strategic direction through better use of data.
• Translate fraud challenges into analytical questions and measurable outcomes, and deliver data-led solutions in an Agile environment.

Skills

Statistical modelling

Machine learning

Generative AI

Data visualization

Programming fundamentals

Education

STEM degree

Tools

Python

SQL

Cloud platforms

Job description

eFinancialCareers is seeking a Data Scientist for our Economic Crime Hub in Manchester. You will design and implement data science solutions to prevent fraud, reduce customer harm and financial losses, and improve fraud decisioning.

You will collaborate with Fraud, Engineering and Data communities to promote data literacy, support governance and drive a data-driven culture across business stakeholders.