EY Analityczka lub Analityk ds Zgodności Analiz Danych 

Poland, Masovian Voivodeship, Warsaw 

454524576

Your key responsibilities:

• Participation in projects in the field of risk management, regulatory compliance and optimization of business processes using data analysis methods.
• Creating comprehensive analyses to identify and interpret trends or patterns in complex data sets.
• Ability to understand and respond to client needs while keeping up-to-date with the latest AI and machine learning trends used for preventing financial crimes.
• EY.AI - in this role, your capabilities are augmented by artificial intelligence. With AI-powered solutions your analyses, insights and innovative ideas will reach a higher level. Starting with a series of training sessions, you will then use EYQ - your virtual assistant, along with other unique tools often available exclusively at EY. We continuously invest in innovation to provide you with a work environment where you can focus on the most interesting aspects of your job and create the best solutions for clients.

Skills and attributes for success:

• Ability to research client inquiries and understand emerging issues in financial crimes compliance, including regulations, industry practices, and new technologies.
• Willingness to travel as needed to meet client requirements.
• Strong analytical thinking, creativity and problem-solving skills.
• Ability to convey and present complex findings in an easy-to-understand manner.

To qualify for the role, you must have:

• University degree or final-year studies in econometrics, financial technology, computer science, data science or a related quantitative field.
• Practical competency in Python/Java/Scala and Spark, and ability to work with DataFrames.
• Good knowledge of SQL and relational databases.
• Proficiency in MS Excel.
• Strong verbal and written communication skills in English.
• Highly developed analytical and problem-solving skills; attention to data quality.
• High standard of integrity and confidentiality.

Ideally, you’ll also have

• Foundations of AI/ML (e.g., linear/logistic regression, decision trees, train/test split, cross-validation).
• Exposure to AML/Financial Crime topics: Transaction Monitoring, KYC/KYB, Sanctions Screening
• Experience with cloud analytics (preferably Azure/Databricks) and distributed processing (e.g., Spark).
• Familiarity with containerization (e.g., Docker) and common data/BI tools (Power BI/Looker/Tableau, Jupyter/VS Code).
• Experience with other languages or stacks (R/SAS/VBA) as a plus.
• Basic familiarity with Git.
• German language skills as a plus.

Your previous experience:

• University degree (preferred fields: mathematics, physics, computer science, economics/econometrics, quantitative methods, or related STEM disciplines).
• Academic projects completed within student associations/scientific circles (student clubs/research groups).

We also value:

• Knowledge of economics, finance, or accounting.
• Prior professional experience in banking, risk management, or data analytics.
• Experience in building or validating quantitative models.