Quantitative Analyst VP (Banking Risk/Python)

Location: Office-based in Prague, Czechia

Salary: 1,900,000–2,500,000 CZK annual full-time equivalent base salary

Company

hirify.global is a banking and financial services organisation developing quantitative solutions for risk management, Treasury, and business decision-making.

What you will do

• Design analytics and modelling solutions for complex business problems across Treasury, ALM, liquidity risk, customer behaviour, and market risk.
• Develop, implement, and support mathematical, statistical, and machine learning models used in business decision-making.
• Build high-performing, documented, stable, and well-tested analytical software and work with Technology to operationalise it.
• Collaborate with Risk, Treasury, Business, and Technology stakeholders to define dependencies, delivery plans, and strategic solutions.
• Demonstrate model efficacy to business users and independent validation teams while supporting ongoing model effectiveness.
• Maintain compliance with hirify.global Enterprise Risk Management Policies, Model Risk Policy, and the defined control environment.

Requirements

• Experience developing and applying quantitative models in Treasury, ALM, liquidity risk, customer behaviour, or market risk.
• Extensive Python development experience, including data processing with pandas, polars, or similar tools.
• Experience handling computational complexity through multiprocessing, caching, or comparable techniques.
• Understanding of software architecture, databases, shared codebase practices, and in-house modelling software development costs.
• Strong stakeholder management and communication skills across global Risk, Business, and Technology teams.
• Ability to translate business requirements into delivery plans, manage dependencies, and drive outcomes in complex environments.

Nice to have

• Experience with retail and wholesale lending, deposits, Treasury, or financial markets portfolios.
• Knowledge of LCR, NSFR, NII Sensitivity, EVE, VaR, and tail risk methodologies.
• Experience addressing data quality, governance, and integrity challenges in large financial datasets.
• Experience with model documentation, Model Validation, Internal Audit, or regulatory review processes.

Culture & Benefits

• Collaborative environment involving Risk, Treasury, Business, and Technology functions.
• Opportunity to influence modelling standards and contribute to advanced quantitative solutions.
• Country-specific employee benefits.
• Eligibility for an incentive award.
• Work is performed from the Prague office.