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We are seeking a specialist with proven experience in Quantitative Research.
What You'll Be Doing:
- Developing and testing investment hypotheses within the constraints of risk management
- Building models for evaluation, decomposition, and forecasting of returns and risks across various asset classes (equities, rates, credit, commodities)
- Enhancing existing factor models and designing new alpha-beta / gamma-vega strategies
- Participating in portfolio optimization processes, taking into account transaction costs, position constraints, and regulatory requirements
- Performing attribution analysis, stress testing, performance decomposition, and preparing reports for the Investment Committee
- Collaborating with the execution team to deploy models into production, including monitoring and managing model deviations
Experience:
- 3-7 years of experience at multi-asset hedge funds, asset management firms, or in quantitative research at investment banks
- Proven track record of implementing live trading strategies with a long-term Sharpe ratio > 1.5
- Hands-on experience working with execution constraints, market impact models, and transaction cost modeling
- Participation in institutional investment processes (e.g. investment committee meetings, risk management, compliance)
- Deep knowledge of statistics and probability theory, including copulas, regime-switching models, etc
- Experience building risk models (e.g. factor models, volatility forecasting, CVaR)
- Strong expertise in the alpha research pipeline — from idea generation to production deployment
- Proficient in Python (Pandas, NumPy, SciPy, etc.); C++ or Rust is a strong plus
- Understanding of portfolio optimization with both linear and nonlinear constraints
- Experience working with alternative data in a structured due diligence framework
- Master's or PhD in a quantitative field (Physics, Mathematics, Computer Science, or related disciplines)
- Languages: Russian, English
- Understanding of options pricing models, hedging
- Experience with machine learning, deep learning, or reinforcement learning (ML/DL/RL) techniques
- Strong communication skills, with the ability to explain complex technical ideas to both technical and non-technical stakeholders
- Culture of Innovation: An open, dynamic, and inclusive environment where your ideas matter
- Flexibility & Impact: Enjoy the freedom of a startup with the backing of a well-resourced fund
- High Impact: Work directly on projects that shape strategies and drive the fund's success
- 35 Days of Vacation - Plenty of time to rest and recharge
- 100% Paid Sick Leave - Recover without financial worries
- Top-Tier Equipment - Choose the tools that suit you best (within budget)
- Corporate Psychologist - Mental health support when you need it
Key Skills
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