
James Davies
Fraud Analyst
Proactive Fraud Analyst safeguarding assets through advanced detection and prevention.
Highly analytical and detail-oriented Fraud Analyst with 5 years of experience in financial services, specialising in identifying, investigating, and mitigating fraudulent activities. He possesses proven expertise in utilising advanced data analytics tools, machine learning models, and regulatory knowledge to detect complex fraud patterns and protect organisational assets. James is adept at collaborating with cross-functional teams to implement robust fraud prevention strategies and enhance security protocols. He has a strong track record of reducing financial losses and improving compliance. Seeking to leverage his strong investigative skills and commitment to financial integrity to contribute to a leading institution's fraud risk management efforts.
Barclays Bank - London, UK
Fraud Analyst September 2019 to Present 6 years & 10 months
Developed and implemented new fraud detection rules within the transaction monitoring system, improving alert accuracy by 20% and reducing false positives.
Collaborated with the data science team to refine machine learning models for proactive fraud identification, enhancing detection rates for emerging fraud typologies.
Prepared detailed investigative reports and presented findings to senior management and law enforcement agencies.
Mentored junior analysts on best practices for fraud investigation and case management.
HSBC - London, UK
Junior Fraud Analyst October 2017 to August 2019 1 year & 11 months
Conducted initial investigations into suspicious activities, gathering evidence and documenting findings in case management systems.
Assisted senior analysts in preparing comprehensive fraud reports and trend analyses.
Participated in cross-functional workshops to identify vulnerabilities and propose enhancements to fraud prevention controls.
Maintained up-to-date knowledge of fraud trends, regulatory requirements (e.g., PSD2, GDPR), and industry best practices.
University College London (UCL)
Master of Science (September 2016 to September 2017)
University of Manchester
Bachelor of Science (September 2013 to June 2016)
Advanced Data Analytics for Fraud Detection
Coursera (IBM) (January 2021 to March 2021)
- https://www.coursera.org
Financial Crime Prevention Specialist
International Compliance Association (ICA) (May 2018 to July 2018)
- https://www.int-comp.org
Certified Fraud Examiner (CFE)
Association of Certified Fraud Examiners (ACFE) (March 2020 to Present)
- https://www.acfe.com
- SQL
- Python (Pandas, NumPy)
- Microsoft Excel (Advanced)
- Fraud Detection Systems (e.g., Actimize, Falcon)
- Data Analysis & Visualization
- Anti-Money Laundering (AML)
- Know Your Customer (KYC)
- Risk Assessment & Management
- Regulatory Compliance (FCA, PSD2)
- Machine Learning Fundamentals