Fraud Analytics Scientist - Applied ML, Hybrid

Harnham - Data and Analytics Recruitment; City Of London; Hybrid; GBP 55,000 - 65,000; Full time

Benefits offered by this job

Annual bonus

Contributory pension

Private healthcare

Hybrid working model

Job summary

Harnham - Data and Analytics Recruitment is seeking an Applied Data Scientist focused on Fraud Prevention in London. You will build and deploy fraud detection, identity verification, and scoring models, working with large datasets to uncover trends and risks that impact customers and business performance.

The role offers a hybrid London setup with opportunities to influence risk strategy and advance analytics capabilities within a fintech context.

Qualifications

• Experience in fraud analytics or financial crime.
• Hands-on experience developing ML models using Python.
• Strong SQL and data analysis capabilities.
• Knowledge of statistical modelling and predictive analytics techniques.
• Excellent communication skills with the ability to influence stakeholders.
• Experience within fintech, lending, or financial services would be beneficial.

Responsibilities

• Develop and deploy fraud detection, identity verification, and fraud scoring models
• Analyse large and complex datasets to identify fraud trends, risks, and opportunities
• Evaluate new data sources, machine learning techniques, and fraud prevention tools
• Build monitoring and reporting solutions to track model and fraud performance
• Collaborate with Product, Engineering, Risk, and Data teams to deliver business-critical initiatives
• Help shape the future direction of fraud analytics across the organisation

Skills

Fraud analytics

Machine learning

SQL data analysis

Statistical modelling

Stakeholder influence

Fintech experience

Tools

Python

SQL

Job description

Harnham - Data and Analytics Recruitment is seeking an Applied Data Scientist focused on Fraud Prevention in London. You will build and deploy fraud detection, identity verification, and scoring models, working with large datasets to uncover trends and risks that impact customers and business performance.

The role offers a hybrid London setup with opportunities to influence risk strategy and advance analytics capabilities within a fintech context.