Financial Engineer @ Devire

• Minimum 3-year experience in a similar position.
• Very good knowledge of Python and experience in designing, developing, and maintaining model-based or analytical solutions.
• Experience in the field of financial engineering, quantitative modeling, risk, Treasury, or related financial areas.
• Familiarity with Docker and cloud or on-prem environments.
• Experience in building and maintaining CI/CD processes and automation deployments.
• Able to create stable and scalable programming environments.
• Knowledge of best practices in software engineering (clean code, unit tests, code review, version control).
• Experience working with Quantitative Analytics teams, IT, and business stakeholders.
• Understanding of regulatory, accounting, or control requirements in a financial institution environment.
• Very good knowledge of the English language (min. B2).

Devire Outsourcing IT is a dedicated partnership form for IT specialists based on own business activities - B2B, realizing projects for leading Clients conducting innovative and modern projects.

We are looking for someone to fill the position of Financial Engineer. This person will be responsible for designing, developing, and maintaining model-based solutions in Python, supporting the Global Treasury area.

• Work mode: hybrid (2 days a week from Krakow office)
• Salary: 100-125 PLN/h netto + VAT

• B2B contract via Devire (100-125 PLN/h netto).
• Hybrid work (2 days a week from Krakow office).
• Benefits package.
• Flexible working hours.
• Long-term cooperation.

,[Building and implementing global model-based solutions for Treasury based on Python., Supporting the development and implementation of containerized Global Treasury solutions and CI/CD automation., Providing easy-to-use and stable programming environments., Ensuring automated solutions that enable fast and agile modeling., Strategic software deployment according to best practices, Tight cooperation with Head of Financial Engineering to ensure smooth change management and system maintenance., Tight cooperation with Quantitative Analytics teams to create practical programming solutions.]