ITDS Polska Sp. z o.o.Kraków, Lesser Poland, Poland
25 days ago
Job description
technologies-expected :
Python
Qlik
Tableau
technologies-optional :
Google Cloud Platform
Microsoft Azure
Spark
Jira
Confluence
about-project :
As a Data Scientist – Regulatory Compliance (AI & Analytics), you will be working for our client, a leading global financial institution, contributing to the development and deployment of advanced analytics solutions aimed at improving regulatory risk management. You will be supporting initiatives that combine machine learning, artificial intelligence, and data engineering to proactively monitor, identify, and mitigate compliance risks. Collaborating with stakeholders across the organization, you are helping drive data-driven decision-making while continuously improving model performance, governance, and innovation in a dynamic, fast-paced environment.
Join us, and shape the future of regulatory risk management!
Kraków - based opportunity with hybrid work model (6 days / month in the office).
responsibilities :
Developing and maintaining machine learning and AI models for regulatory compliance
Writing and optimizing code to apply advanced analytics on complex datasets
Interpreting and visualizing model outputs for both technical and non-technical audiences
Collaborating with analytics teams to share insights and align best practices
Communicating findings and recommendations to internal stakeholders and partners
Creating and delivering fully documented analytical solutions that meet business needs
Monitoring existing models and updating them based on validation results
Promoting data-driven decision-making aligned with long-term objectives
Identifying, monitoring, and mitigating emerging regulatory risks
Supporting audits, model reviews, and regulatory inquiries with analytical evidence
requirements-expected :
Holding a university degree in technology, data analytics, or a related field
Demonstrating strong coding skills in Python and SQL
Applying advanced statistical, mathematical, and machine learning techniques
Working with large and complex datasets in distributed systems such as Hadoop
Understanding regulatory compliance and associated risk controls
Visualizing data using tools such as Qlik or Tableau
Building models and analytical products that meet governance standards
Communicating complex findings effectively across diverse audiences
Managing multiple priorities in an agile and evolving environment
Collaborating effectively with cross-functional global teams
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment