Analityczka lub Analityk ds. Zgodności i Analiz Danych @ EY Polska

Analityczka lub Analityk ds. Zgodności i Analiz Danych @ EY Polska

Polsko

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.

About EY Poland: 

We are a global consulting firm - helping businesses, organisations and communities make the most of their potential. Our audit, consulting, legal, strategy, tax and transaction teams ask the non-obvious questions to find new answers to the complex challenges facing the world today.  

We employ more than 390,000 exceptional people in over 150 countries around the world. In Poland there are over 7,000 of us, working in: Warsaw, Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow and Wroclaw. 

We create amazing things together every day. We have the people, the development path and the training to help you grow fast, gaining experience on successive projects.   

We care about the environment - not just the business. As part of our plan, we have reduced our global greenhouse gas emissions in fiscal 2023 by 43% from a 2019 baseline.   

EY is an equal opportunity employer, we value and promote diversity in the knowledge and experience of our community. We operate the Level Up Without Barriers program, which supports employees with disabilities to achieve their career ambitions and dreams.  

EY provides all applicants with equal opportunities in the recruitment process, regardless of gender, age, race, religion, sexual orientation, national origin, disability or any other legally protected basis, in accordance with applicable law. 

,[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.] Requirements: Degree, Python, Java, Scala, Spark, DataFrames, SQL, Excel, AI, ML, AML, Cloud, Azure Databricks, Docker, BI, Power BI, Tableau, R, SAS, VBA, Git

Kategorie

data

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