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Senior Fraud Strategy Analyst

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: 慨正橡扯
Full Time position
Listed on 2026-07-19
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Banking Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 65000 - 95000 GBP Yearly GBP 65000.00 95000.00 YEAR
Job Description & How to Apply Below
Location: City of Edinburgh

As a Fraud Analytics Specialist in the Fraud Analytics team, you will develop and implement strategies to detect and prevent fraudulent activities. You will use analytics to support fraud products, operations, and financial crime initiatives, ensuring the safety of our customers and the bank. You will collaborate with cross‑functional teams to translate fraud strategies into operational impact. Your work will help maintain compliance and uphold regulatory standards.

You will contribute to a culture of best practice and continuous improvement.

Job Responsibilities
  • Responsible for development and implementation of fraud strategies/rules to effectively detect fraudulent activities
  • Conduct analytics to support fraud product, fraud operations and financial crime to protect the financial interest of the customers and the bank
  • Conduct analytics to support fraud operation team to improve efficiency and decision accuracy, including translation of fraud strategy into fraud operation impact
  • Work with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective.
  • Ensure all compliance, audit & control frameworks are followed — using data to support the confirmation of these processes are adhered to regulation standard.
  • Share best practices across JP Morgan Chase & Co.
  • Display superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Required Qualifications , Capabilities and Skills
  • Master's degree in numeric or STEM related fields, such as statistics, computer science, data science, etc.
  • Knowledge of Fraud processes and products.
  • Experience in coding languages such as SQL or Python.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation.

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Position Requirements
10+ Years work experience
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