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Model Governance Analyst
- We are open to the employment form according to your preferences
- Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
- Hybrid working system – 6 days / month from office in Kraków
- Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going next
- We invest in developing skills and abilities of our employees
- We have attractive benefits and provide all the tools required for work f.e. computer
- Interpolska Health Care, Multisport, Warta Insurance, training platform (Sages)
Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:
🤖 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.
🌐Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.
🤝Talent Network - we provide access to the best specialists.
☁️ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.
We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.
#LI-Hybrid
- Process Model governance tickets through from assessment to completion
- Review Model use cases and check they are in line with governance requirements
- Support the governance lifecycle of all models, including inventory management, validation tracking, and change controls
- Assist in the continuous improvement of model governance policies and procedures
- Ensure data quality and integrity through effective model governance practices
- Assist in preparing reporting, presentations, and documentation to support regulatory and internal monitoring, governance processes
- Maintain a centralised and up-to-date model inventory that tracks all models, tools, and end-user applications across Cybersecurity
- Ensure accurate and complete documentation is maintained for each model, including model development documentation, validation reports, change logs
- Identify and develop process improvements opportunities by automating where applicable
- Provide regular reporting and analysis to senior management on model risk governance activities
- Prepare clear, stakeholder facing communications in line with team standards of clarity, reference and effectiveness. Document requirements, analyse findings, and recommendations. Assist in preparing reporting, presentations and documentation to support regulatory and internal monitoring, governance processes
- Manage workflow timelines, track progress, and ensure timely delivery of milestones
- Provide the Model oversight chair with administrative support and help in managing task backlog
- Prioritise and provide same-working day accurate responses to ad-hoc issues and requests
- Communicate and collaborate closely with colleagues from a wide range of backgrounds (cybersecurity/AI/risk/compliance teams), providing regular updates on AI activity status and addressing any issues promptly
- Build and maintain positive relationships with internal collaborators
- Contribute to continuous improvement of processes and methodologies
- Identify and develop processes improvements opportunities by automating where applicable
- Analyse extensive datasets to identify patterns and trends to uncover trends, patterns, and insights that inform decisions
- 3 – 5 years of experience in financial services, AI/ML risk management or model governance, Regulatory compliance or Technology
- Bachelor’s degree in any Science, Technology, Engineering, or field accompanied with data, technology and/or programming experience also considered
- Applicants without a Bachelor’s degree will be considered if they have demonstrable career experience within one or more of the required areas and/or have relevant industry certifications in Data or Cybersecurity
- CSA are a supportive team who welcome candidates from diverse skills and educational backgrounds
- Knowledge of scripting languages such as Python, Java, C#, or similar (Nice to have)
- Familiarity and Understanding of Cyber/AI vocabulary and technologies
- Knowledge of Agile project management tools (e.g., JIRA)
- Positive attitude, strong work ethic and passion for learning
- Good organisation skills
- Effective communication and people skills
- Positive team player working as part of a large programme