Job description
Hi, SFORS trades in the global financial markets and is among the key proprietary trading players and pre-market trading leaders. Our company owes its 20 years of success in the stock market to constant investment in talent development, trading technologies, advanced risk management models, and effective trading strategies — all of which drive trader success.
SFORS operates exclusively with proprietary funds, without any third-party investments. We are looking for a Risk Analyst (Risk Quant Analyst) to join our Risk Management team. In this role, you will work closely with traders and risk managers to develop, validate, and enhance market risk models, ensuring effective risk oversight of equity portfolios across US markets.
Key Responsibilities
Market Risk Modelling: Develop and maintain VaR / ES models (parametric, historical simulation, Monte Carlo) Implement and apply EVT / GPD approaches for tail risk analysis Perform backtesting and validation of risk models Support factor-based risk decomposition (beta, sectors, idiosyncratic risk) Scenario Analysis & Stress Testing: Design and run historical and hypothetical stress scenarios Develop forward-looking market risk scenarios Analyze P&L sensitivity under stress conditions Contribute to the firm’s stress testing framework Portfolio Risk Analysis: Monitor real-time and end-of-day risk metrics (Greeks, exposure, drawdowns) Conduct performance and risk attribution analysis Support pre-trade risk controls and position limits Prepare regular risk reports for internal stakeholders Quantitative Development & Analytics: Build and maintain Python-based risk analytics tools Work with SQL to extract and process trading data Prototype new analytical approaches and models Contribute to model and methodology documentation Core Skills & Requirements: Education & Experience: Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, or related field 2–5 years of experience in market risk / quantitative analytics / risk management Hands-on experience with VaR / ES and statistical modelling Understanding of US equity markets and financial instruments Technical Skills: Python (pandas, Num.
Py, Sci. Py, statsmodels) SQL (data extraction and manipulation) Strong knowledge of probability, statistics, and time series analysis Nice to Have: FRM / CFA / CQF (or in progress) Experience with Bloomberg / Refinitiv Exposure to trading environments or real-time risk systems Experience with stress testing frameworks Language requirements: English — Upper-Intermediate or higher Ukrainian — Professional fluency (would be an advantage) What We Offer: Competitive salary package Professional growth and learning opportunities Supportive and collaborative work environment SFORS invests in talent development through training programs, sports, leisure, and psychological support.