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Sr. Analyst Financial Intelligence Unit Europe

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Women Veterans Interactive
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Sr. Analyst Financial Intelligence Unit Europe Responsibilities

  • Conduct AML transaction monitoring, ad-hoc investigations, and research via deep data analytics across large datasets covering multiple regions and countries.
  • Extract, query, and prepare data from internal databases (e.g., Oracle, data warehouse tables, system applications) to support investigations.
  • Utilize SQL and advanced Excel (Power Pivot, pivot tables, formulas) to analyze datasets that may include tens of millions of records.
  • Apply data mining techniques to identify behavioral patterns, anomalies, relationships, and meaningful insights within complex data sets.
  • Summarize analytical findings, trends, and red flags in clear written investigative narratives and reports.
  • Continuously develop technical and analytical expertise through training, self‑study, and exposure to evolving AML typologies and data methodologies.
Corporate Security Responsibility
  • Abide by Mastercard’s security policies and practices.
  • Ensure the confidentiality and integrity of the information being accessed.
  • Report any suspected information security violation or breach.
  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Qualifications
  • Bachelor’s degree required, or equivalent data analytics, banking/financial operations, payments industry, risk management or compliance related experience.
  • Familiarity with AML, BSA, USA PATRIOT Act and OFAC controls and requirements.
  • Advanced Microsoft Excel skills, including Power Pivot, pivot tables, and complex formulas.
  • Strong understanding of data extraction, cleaning, manipulation, and summarization methodologies.
  • Hands‑on experience with SQL (or similar languages), including modifying existing queries/scripts to extract data for specific investigations.
  • Proven ability to analyze large, complex datasets, identify trends, and translate data into defensible conclusions.
  • Experience working with compliance, risk, or investigative data is a plus.
Personal Attributes
  • Ability to proactively manage time and prioritize assignments to meet target dates and deadlines, while delivering thorough, accurate and quality work product.
  • Ability to quickly learn and apply payments industry terminology and AML‑specific data context.
  • Strong attention to detail with the ability to produce accurate, high‑quality analytical reports under deadlines.
  • Ability to work independently, thrive in fast‑paced and dynamic environments, and consistently meet established deadlines.
  • Ability to clearly explain and defend analytical conclusions verbally and in writing.
  • Ability to remain flexible in a demanding work environment while adapting rapidly changing priorities.
  • Availability to work in a hybrid model, with a requirement to be in the office 3 times per week.
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