Traded Risk Contractor - Market Risk Modelling

Location: Krakow Poland
Contract Type: Contract

• Develop and enhance market risk models including VaR Stressed VaR and FRTB using Python and real-world data
• Work with a leading financial services organisation on regulatory-driven risk measurement and management
• Build monitoring frameworks and validation approaches to ensure model accuracy and performance
• Contribute to process automation and efficiency improvements across risk management systems

Company Overview

Our client is a well-established financial services organisation operating in Krakow. They specialise in traded risk management and market risk measurement serving a global client base. The organisation is committed to maintaining robust risk frameworks that meet regulatory requirements whilst driving continuous improvement in their analytical capabilities and systems.

Were looking for an experienced Traded Risk Contractor to join our clients risk management team in Krakow. If you have strong Python skills a solid understanding of market risk measures and experience developing or maintaining risk models this role offers the opportunity to work on complex high-impact projects within a collaborative international environment.

Position Overview

This role sits at the heart of our clients risk management function supporting the development and maintenance of market risk models that drive accurate risk measurement and decision-making across the organisation. Youll work on both enhancing existing models and developing new ones ensuring they remain fit for purpose under evolving regulatory requirements. Your work will directly impact how the organisation measures monitors and manages traded risk exposure.

Responsibilities

• Develop and enhance market risk models including Value-at-Risk (VaR) Stressed VaR Risk Not In VaR (RNIV) Stress Testing Economic Capital Incremental Risk Charge (IRC) and Fundamental Review of Trading Book (FRTB)
• Build and run monitoring tests perform periodic calibration and undertake model performance assessment and validation
• Implement model development and monitoring within the organisations Python-based analytics library
• Design validation approaches for new and existing models identify target market data and conduct validation within agreed timelines
• Suggest improvements to existing risk frameworks with a focus on automation and enhanced controls
• Document process changes and improvements to reflect current procedures and best practice
• Explain model details to non-technical stakeholders and support day-to-day model usage across the organisation
• Participate in ad hoc projects and provide information in a clear and timely manner

Requirements

• Qualification in Mathematics Engineering Science Finance or Business Management or equivalent experience in risk management
• Proficiency in Python and Excel VBA (C is desirable)
• Strong understanding of statistics and statistical methods
• Basic knowledge of market risk measures and derivative products
• Strong analytical skills and ability to process and analyse large data volumes
• Ability to work under pressure and meet tight deadlines
• Excellent written communication skills and ability to explain complex concepts clearly
• Experience working in international teams with flexibility and openness to collaboration
• Professional qualifications such as FRM PRM or CFA are advantageous

Benefits

• Opportunity to work on sophisticated market risk models and regulatory frameworks
• Access to continuous learning and professional development opportunities
• Collaborative working environment with experienced risk professionals
• Exposure to cutting-edge risk management practices and technologies

Alongside a competitive package youll join a forward-thinking organisation where analytical rigour continuous improvement and clear communication are valued. Youll work alongside experienced professionals in a collaborative setting that supports your growth and encourages you to develop expertise in traded risk management.

How to Apply

To apply for this role please submit your CV using the form below or email