Senior Data Analyst @ Sii Polska
(práce v Polsku)

Senior Data Analyst @ Sii Polska

Polsko

• Bachelors 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

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.

,[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: Python, SQL, Tableau, R, SAS Additionally: Sport subscription, Training budget, Private healthcare, Small teams, International projects, Free coffee, Free breakfast, No dress code, In-house trainings.

Kategorie

data

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