Fraud and Financial Crime Analyst

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

Job summary

An established industry player is seeking a Fraud and Financial Crime Analyst to enhance fraud detection systems. This role involves using advanced data analytics and machine learning techniques to identify and mitigate fraud risks across various banking products. You will collaborate with experts to drive innovation and improve operational efficiency. The ideal candidate will possess strong analytical skills and a background in financial crime detection, making a significant impact in safeguarding the organization against fraud. Join a dynamic team committed to excellence and integrity in the financial services sector.

Qualifications

• Experience in fraud detection or financial crime analysis.
• Proficiency in data analysis with Python, SQL, and R.

Responsibilities

• Develop and enhance fraud detection systems using data analytics.
• Collaborate with stakeholders to leverage data insights.

Skills

Data Analysis

Fraud Detection

Machine Learning

Python

SQL

R

SAS

Cybersecurity

Education

Degree in Mathematics

Degree in Statistics

Degree in Computer Science

Job description

As a Fraud and Financial Crime Analyst within Fraud Analytics at Barclays, you will be responsible for the development and enhancement of fraud/financial crime detection systems. Applying advanced analytical methods and data-driven approaches, you’ll improve our ability to detect and prevent fraud and financial crime across a variety of banking products and services. You’ll work closely with other experts in the field, helping us stay one step ahead in addressing fraud risks.

Tobesuccessful as a Fraud and Financial Crime Analyst, you should have experience with:

• A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).

• Experience in money mule, financial crime or fraud detection, scam prevention, or cybersecurity, ideally in a financial services or banking environment.

• Proficiency in data analysis, with hands-on experience using tools and languages such as Python, R, SQL, SAS, and machine learning frameworks.

Some other highly valued skills may include:

• Experience in change delivery and integration, ideally with fraud systems and controls.

You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills.

This role will be located at our Northampton office.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

• Identification, collection, and extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions.
• Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, with performance appraisals and reward outcomes.
• If the position has leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a high standard. The four LEAD behaviours are: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
• For individual contributors, lead collaborative assignments and guide team members through structured tasks. Identify the need for inclusion of other specialisations to complete assignments, and explore new directions for projects to meet required outcomes.
• Consult on complex issues; provide advice to support the resolution of escalated issues.
• Identify ways to mitigate risk and develop new policies/procedures supporting control and governance.
• Manage risk and strengthen controls related to your work.
• Perform work related to other areas, understanding how different areas coordinate and contribute to organisational objectives.
• Collaborate with other work areas to stay aligned with business activity and strategy.
• Engage in complex data analysis from multiple sources, including internal and external sources, to solve problems creatively and effectively.
• Communicate complex or sensitive information clearly, considering the audience.
• Influence stakeholders to achieve desired outcomes.

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