AVP Financial Engineer

Join us, and build the future of financial innovation with code!

Kraków – based opportunity with hybrid work model (1 day/week in the office).

As a AVP Financial Engineer, you will be working for our client, a global financial institution renowned for its innovation in risk and quantitative analytics. You will contribute to the design and development of a robust quantitative library supporting risk and regulatory functions. The role involves close collaboration with quantitative analysts, risk IT, and transformation teams to streamline model development and align technological solutions with evolving regulatory requirements. This is a high-impact role focused on delivering scalable and maintainable code that empowers risk and finance professionals across the organization.

Your main responsibilities: Designing and building components of the GRA quantitative library

• Implementing robust and reusable software solutions for quantitative models
• Collaborating with quant analysts, risk IT, and transformation teams
• Ensuring compliance with internal model governance and regulatory standards
• Creating and maintaining a user-friendly and stable development environment
• Reducing development time for new financial models
• Supporting audit and regulatory interactions with necessary documentation
• Enhancing process efficiency through automation and code optimization
• Monitoring and addressing bugs in a timely manner
• Documenting and testing code to meet performance and quality KPIs

You’re ideal for this role if you have:

• Strong experience with Python programming
• Solid background in object-oriented and functional programming
• Proven experience in software development for financial or risk systems
• Familiarity with the software development lifecycle and methodologies
• Hands-on experience with SQL and working with databases
• Understanding of quantitative finance and financial risk concepts
• Experience working with regulatory frameworks and audit processes
• Effective communication and collaboration skills across technical and business teams
• Bachelor’s or Master’s degree in computer science, mathematics, or a related quantitative field
• Ability to build scalable and maintainable codebases

It is a strong plus if you have:

• Experience with PySpark or large-scale data processing frameworks
• Familiarity with REST APIs, gRPC, Docker, or Kubernetes
• Understanding of Apache Beam or other stream processing tools
• Exposure to C++ in a production environment
• Knowledge of machine learning fundamentals

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #7357