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Senior Data Analyst

  • Senior
  • Remote, 
  • Hybrid, 
  • Office
  • Multiple locations Show all

Technologies & tools

Are you a seasoned data analyst with a passion for uncovering hidden risks and fighting financial crime? We are looking for a Senior Data Analyst to join our dynamic AML/KYC analytics team. In this critical role, you’ll be at the forefront of detecting suspicious activity and enabling smarter, faster investigations across the organization.

Your tasks

  • Analyze complex data sets—including transactions, accounts, customer behavior, alerts, and third-party data—to detect anomalies and suspicious patterns
  • Use statistical and analytical tools (e.g., SQL, Python, R, SAS) to generate insights and support anti-money laundering (AML) and know-your-customer (KYC) initiatives
  • Develop and implement financial crime detection models, scenarios, and data-driven strategies
  • Conduct root cause analysis of financial crime incidents to enhance detection and prevention efforts
  • Create dashboards and reports using tools like Tableau to support investigations and inform decision-making
  • Collaborate with compliance, investigations, and technology teams to translate forensic analyses into actionable intelligence

Requirements

  • Bachelor's degree (or higher) in Data Analytics, Computer Science, Statistics, or a related field
  • At least 7 years of professional experience in data analytics
  • Demonstrated expertise in the financial crimes or AML/KYC domain
  • Advanced skills in data analytics tools including SQL, Python, R, and SAS
  • Proficiency in data visualization tools, especially Tableau
  • Strong understanding of AML/KYC regulations and investigative practices
  • Proven ability to design and deploy effective financial crime detection models
  • Experience conducting in-depth root cause analyses on financial crime trends and incidents
  • Exceptional analytical thinking and problem-solving skills
  • Excellent communication abilities, with a talent for transforming complex data into clear, actionable insights
  • Background in a major financial institution or top-tier consulting firm
  • Residing in Poland required

Job no. 250515-1SPA1

Technologies & tools

Are you a seasoned data analyst with a passion for uncovering hidden risks and fighting financial crime? We are looking for a Senior Data Analyst to join our dynamic AML/KYC analytics team. In this critical role, you’ll be at the forefront of detecting suspicious activity and enabling smarter, faster investigations across the organization.

Your tasks

  • Analyze complex data sets—including transactions, accounts, customer behavior, alerts, and third-party data—to detect anomalies and suspicious patterns
  • Use statistical and analytical tools (e.g., SQL, Python, R, SAS) to generate insights and support anti-money laundering (AML) and know-your-customer (KYC) initiatives
  • Develop and implement financial crime detection models, scenarios, and data-driven strategies
  • Conduct root cause analysis of financial crime incidents to enhance detection and prevention efforts
  • Create dashboards and reports using tools like Tableau to support investigations and inform decision-making
  • Collaborate with compliance, investigations, and technology teams to translate forensic analyses into actionable intelligence

Requirements

  • Bachelor's degree (or higher) in Data Analytics, Computer Science, Statistics, or a related field
  • At least 7 years of professional experience in data analytics
  • Demonstrated expertise in the financial crimes or AML/KYC domain
  • Advanced skills in data analytics tools including SQL, Python, R, and SAS
  • Proficiency in data visualization tools, especially Tableau
  • Strong understanding of AML/KYC regulations and investigative practices
  • Proven ability to design and deploy effective financial crime detection models
  • Experience conducting in-depth root cause analyses on financial crime trends and incidents
  • Exceptional analytical thinking and problem-solving skills
  • Excellent communication abilities, with a talent for transforming complex data into clear, actionable insights
  • Background in a major financial institution or top-tier consulting firm
  • Residing in Poland required

Job no. 250515-1SPA1

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