Fraud Data Scientist: ML for Security (Hybrid, Equity)

Harnham - Data and Analytics Recruitment; City Of London; Hybrid; GBP 59,000 - 72,000; Full time

Benefits offered by this job

Equity

Hybrid work arrangement

Job summary

Harnham - Data and Analytics Recruitment invites applications for an Applied Data Scientist focused on fraud detection and prevention in a fast-growing financial services organisation based in London.

You will work across the full data science lifecycle, building predictive models, evaluating data sources and delivering insights to stakeholders in a hybrid role that combines remote and office work.

Qualifications

• Experience within fraud analytics, fraud prevention or a related risk-focused data science environment.
• Strong machine learning and statistical modelling skills, with hands-on Python experience (including common data science libraries).
• Proficiency in SQL and experience working with multiple structured and external data sources.
• Experience deploying analytical or machine learning solutions into production environments.
• Excellent communication skills with the ability to present findings to technical and non-technical stakeholders

Responsibilities

• Collecting, processing and analysing large, complex datasets to identify fraud trends, risks and opportunities.
• Designing, developing and maintaining fraud detection, identity resolution and predictive machine learning models.
• Evaluating new data sources and technology solutions through analysis, testing and proof-of concept initiatives.
• Monitoring model performance, producing reporting and visualising key insights for stakeholders.
• Collaborating with cross-functional teams on fraud, compliance and customer verification initiatives

Skills

Fraud analytics

Fraud prevention

Machine learning

Python

SQL

Production deployment

Communication

Job description

Harnham - Data and Analytics Recruitment invites applications for an Applied Data Scientist focused on fraud detection and prevention in a fast-growing financial services organisation based in London.

You will work across the full data science lifecycle, building predictive models, evaluating data sources and delivering insights to stakeholders in a hybrid role that combines remote and office work.