Financial Engineer @ Belvedere Recruitment

• An MSc or PhD in a technical field like Computer Science or Mathematics.
• A minimum of nine years' experience building and testing applications.
• Strong experience with an object-oriented language (Java, C++, C#, or Python).
• Experience programming in a mathematical environment such as MATLAB.
• A good knowledge of common design patterns and testing principles.
• Experience in an Agile environment is highly desirable.
• Knowledge of machine learning or large dataset algorithms would be an advantage.

Financial Engineer - Global Risk Analytics

Location: Krakow, Poland

Contract Type: Contract

Remote Status: Hybrid

• Develop advanced analytic platforms for a global financial services leader.
• Work on both rapid prototyping and polished, business-ready software.
• Join a specialist Strategic Analytics team focused on global risk.
• Apply your expertise in a challenging and technical environment.

Our client, a leading global banking and financial services organisation, is looking for an experienced Financial Engineer. This contract role is based in their Krakow office. You will join a specialist team focused on Global Risk Analytics. This is an excellent opportunity to apply your advanced programming skills to build sophisticated analytic platforms.

Position Overview

As a Financial Engineer, you will be a key member of the Strategic Analytics unit. You will provide high-quality programming expertise to build and test complex analytic platforms. Your work will directly support critical risk management functions. You will move projects from initial proof-of-concept stages to fully developed software for business use.

Benefits

• Competitive contract rate.
• Opportunity to work on high-impact, global projects.
• Exposure to advanced financial modelling and technologies.
• A collaborative and professional work environment.

Alongside a competitive package, you will join a forward-thinking team. The team is dedicated to professional growth and delivering high-quality analytical solutions within a supportive environment.