Fraud Data Scientist

Barclays Business Banking; Northampton; On-site; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Fraud Data Scientist, where your expertise in data analytics and machine learning will enhance fraud detection systems. In this role, you will leverage innovative techniques to extract insights from data, informing strategic decisions and improving operational efficiency. Collaborate with experts to stay ahead of fraud risks while fostering a culture of continuous improvement and excellence. This is an exciting opportunity to make a significant impact in the financial services industry, contributing to the safety and security of banking products and services.

Qualifications

• Degree in Mathematics, Statistics, or Computer Science or equivalent experience.
• Experience in fraud detection or cybersecurity in financial services.

Responsibilities

• Develop and enhance fraud detection systems using data analytics.
• Design and execute statistical and machine learning models.

Skills

Data Analysis

Python

R

SQL

Machine Learning

Fraud Detection

Cybersecurity

Education

Degree in Mathematics

Degree in Statistics

Degree in Computer Science

Job description

As a Fraud Data Scientist at Barclays, you will be responsible for developing and enhancing fraud detection systems using advanced analytical methods and data-driven approaches. Your work will help improve the detection and prevention of fraud across various banking products and services, collaborating closely with other experts to stay ahead of fraud risks.

Requirements:

• A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
• Experience in fraud detection, scam prevention, or cybersecurity, preferably in financial services or banking.
• Proficiency in data analysis with tools and languages such as Python, R, SQL, and machine learning frameworks.

This role is based at our Northampton office.

Purpose of the role:

Utilize innovative data analytics and machine learning techniques to extract insights from the bank's data, informing strategic decisions, improving operational efficiency, and fostering innovation.

Key responsibilities include:

• Data collection, extraction, cleaning, and transformation from various sources.
• Development and maintenance of data pipelines for automated processing.
• Design and execution of statistical and machine learning models to analyze data patterns.
• Development of predictive models to forecast outcomes and identify risks and opportunities.
• Collaborate with stakeholders to leverage data science for business value.

Expectations for Analysts:

• Perform activities efficiently and to high standards, fostering continuous improvement.
• Demonstrate deep technical expertise and understanding of the field.
• Lead or support teams, guiding professional development and resource allocation.
• Exhibit leadership behaviors such as listening, inspiring, aligning, and developing others.
• Develop technical expertise, advise, and influence decision-making.
• Manage risks, controls, and compliance with policies and regulations.
• Understand how your sub-function integrates within the broader organization.
• Make evaluative judgments, solve problems, and communicate effectively with stakeholders.

All colleagues are expected to embody Barclays' values of Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset of Empower, Challenge, and Drive.