Quantitative Analyst (Fintech)

Location: Europe; remote work is available

Company

hirify.global operates a high-frequency trading environment and develops trading, pricing, and risk technology.

What you will do

• Research, design, and prototype quantitative models for pricing, risk management, and automated market making.
• Build and maintain backtesting frameworks to validate model performance and safety before production deployment.
• Write mathematical and algorithmic specifications for backend engineers working on Trading Core squads.
• Collaborate with R&D, Trading Operations, Core Product Managers, and engineering teams.
• Conduct post-incident deep dives after market gaps or liquidations and optimize algorithm performance.

Requirements

• 3+ years of experience as a Quantitative Analyst or Quantitative Researcher in fintech.
• Advanced knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics.
• Advanced Python proficiency, including NumPy, Pandas, SciPy, scikit-learn, and Statsmodels, for modeling and backtesting.
• Experience with machine learning, SQL, and large-scale historical market data such as tick data and order logs.
• Understanding of market microstructure, order book dynamics, VaR, Expected Shortfall, margin, and liquidation mechanisms.
• Strong logical thinking, initiative, communication skills, and a degree in a quantitative field; an MSc or PhD is preferred.

Nice to have

• Experience in CFD, crypto CEX, proprietary trading, or hedge fund environments.
• Knowledge of asset pricing models, including Black-Scholes, local volatility models, and Greeks management.
• Knowledge of MetaTrader 4 or MetaTrader 5.
• Experience with AI tools such as Claude, Copilot, or Codex.

Culture & Benefits

• 20 paid vacation days and 10 paid sick leave days per year.
• Paid public holidays according to the approved company holiday list.
• Medical insurance.
• Remote work opportunity.
• Professional education, language learning, and wellness budgets.