Cybersecurity Model Governance Analyst

Job Title : Model Governance Analyst – Cybersecurity & AI Risk

Location : Kraków or Warszawa / hybrid

Employment Type : B2B

Industry : Financial Services / Cybersecurity / Data Science

About the Role

We are looking for a highly motivated Model Governance Analyst to join the Advanced Projects team within a dynamic Cybersecurity Science & Analytics (CS&A) function. This team plays a crucial role in supporting AI / ML model oversight and governance, helping ensure robust cybersecurity practices and data-driven decision-making across the organization.

You will collaborate with cybersecurity experts, data scientists, and engineers on a global scale. The role is ideal for someone who has a passion for cybersecurity and AI risk, thrives in fast-paced environments, and is eager to learn and contribute to innovative projects.

Key Responsibilities

Model Governance

Manage and process model governance tickets from initial assessment through to completion.

Review model use cases to ensure alignment with governance standards.

Support the full model lifecycle : inventory, validation tracking, change control.

Assist with improving model governance frameworks and policies.

Maintain accurate documentation including model development records, validation logs, and change histories.

Support regulatory and internal reporting requirements.

Identify opportunities for automation and process enhancements.

Agile Project Management

Document requirements, findings, and recommendations with clarity and precision.

Track and manage tasks and project timelines to ensure timely delivery.

Provide administrative support to the Model Oversight Chair and manage backlog workflows.

Stakeholder Collaboration

Act as a point of contact for ad-hoc requests and issues related to model governance.

Collaborate with internal stakeholders across cybersecurity, AI, risk, and compliance teams.

Build strong working relationships and communicate effectively with colleagues globally.

Continuous Improvement

Contribute to the ongoing refinement of processes and methodologies.

Use data analysis to identify patterns and opportunities for risk mitigation and process optimization.

Promote a culture of learning, knowledge sharing, and innovation.

Skills & Experience

3–5 years of experience in financial services, technology risk, model governance, or regulatory compliance.

Bachelor's degree in a STEM-related field preferred (science, technology, engineering, mathematics). Equivalent experience or relevant certifications will also be considered.

Understanding of AI / ML risk, cybersecurity frameworks, and data governance principles. ->

it's a must!

Familiarity with Agile project tools such as JIRA.

Experience with scripting languages like Python, Java, or C# is a plus.

Strong organizational, communication, and analytical skills.

Self-starter with a positive attitude, eagerness to learn, and ability to work in a collaborative team environment.

What We Offer

A collaborative and inclusive culture that values innovation and professional growth.

Exposure to cutting-edge cybersecurity and AI governance practices.

Opportunities to work with a diverse and global team of experts.

Support for continuous learning and career development.

If you’re passionate about cybersecurity, model governance, and AI risk—and you’re ready to make an impact—apply now to join a forward-thinking team that’s shaping the future of secure, data-driven banking.

To learn more about Antal, please visit www.antal.pl