Fraud Prevention Data Scientist — ML & Analytics (Equity)

Harnham - Data & Analytics Recruitment; City Of London; Hybrid; GBP 39,000 - 65,000; Full time

Job summary

Harnham are partnering with a fast-growing financial services organisation to hire an Applied Data Scientist focused on fraud prevention. You’ll combine machine learning, analytics and business insight to tackle complex fraud challenges.

You will work across the full data science lifecycle, developing fraud detection models, evaluating data sources, monitoring performance and communicating insights to stakeholders. The role is London-based with hybrid working twice a week.

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

Statistical modelling

Python

SQL

Production deployment

Stakeholder communication

Tools

Python

SQL

Job description

Harnham are partnering with a fast-growing financial services organisation to hire an Applied Data Scientist focused on fraud prevention. You’ll combine machine learning, analytics and business insight to tackle complex fraud challenges.

You will work across the full data science lifecycle, developing fraud detection models, evaluating data sources, monitoring performance and communicating insights to stakeholders. The role is London-based with hybrid working twice a week.