Quantitative Analyst

Role overview A quantitative role embedded in trading and risk-technology squads within a high-volume, high-frequency trading environment. The analyst designs, backtests, and optimises mathematical models that drive pricing engines, automated market-making, risk frameworks, and liquidation mechanics, turning complex financial data into proprietary algorithmic advantages.

Responsibilities - Research, design, and prototype quantitative models for pricing, risk management, and market making. - Build and maintain robust backtesting frameworks to validate model performance and safety before deployment. - Write clear mathematical and algorithmic specifications for backend engineers. - Collaborate closely with R&D, trading operations, and core product teams. - Conduct post-incident deep dives following major market gaps or liquidation events to identify and close algorithm performance gaps.

Requirements - Three or more years of experience as a Quantitative Analyst, Quantitative Researcher, or in Data Science. - Strong knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics. - Advanced proficiency in Python (NumPy, Pandas, SciPy, scikit-learn, Statsmodels) for analysis, modelling, and backtesting. - Practical experience with machine learning. - Deep understanding of market microstructure, order-book dynamics, risk metrics such as VaR and Expected Shortfall, and margin or liquidation mechanisms. - SQL skills and experience working with large-scale historical market data, including tick data and order logs.

Nice to have - Experience in CFD, crypto centralised exchanges, prop trading, or hedge funds. - MSc or PhD in a highly quantitative field such as mathematics, physics, quantitative finance, statistics, or computer science. - Familiarity with asset-pricing models (e.g., Black-Scholes, local-volatility models, Greeks management). - Knowledge of MetaTrader platforms (MT4/MT5) or AI-assistance tools used in research and engineering workflows.

Benefits and work setup - 20 paid vacation days and 10 paid sick-leave days per year, plus public holidays. - Medical insurance and remote-work opportunity. - Budgets for professional education, language learning, and wellness (e.g., gym membership, sports gear).