Applyđź“Ť California, United States, United Arab Emirates, Canada
🔍 Investment Management
- Proven track record of profitable trading (both independent and institutional).
- Deep experience in quantitative research, strategy design, and risk management.
- Strong coding skills (Python, R, or C++) and familiarity with backtesting frameworks.
- Experience hiring and mentoring a trading or research team.
- Entrepreneurial mindset – able to build from zero and iterate quickly.
- Design and lead the execution of profitable trading strategies across quant, stat-arb, crypto, equities, and macro markets.
- Own the fund’s investment philosophy—quantitative, discretionary, or arbitrage—and drive its evolution.
- Oversee the development and refinement of models, algorithms, and systems for backtesting, live execution, and real-time reporting.
- Build and lead a high-performing team of traders, quantitative developers, and analysts; recruit, mentor, and manage talent to scale.
- Direct daily trading operations, including PnL oversight and high-stakes decision-making.
- Develop and enforce a comprehensive risk management framework, including exposure limits, stop-losses, drawdown controls, and real-time monitoring.
- Manage relationships with brokers, exchanges, trading platforms, and API providers to optimize infrastructure and execution.
- Partner with legal and compliance teams to ensure regulatory alignment across all strategies.
- Lead long-term scaling initiatives: expanding AUM, diversifying strategies, and raising external capital.
PythonC++AlgorithmsData StructuresRisk ManagementFinancial analysis
Posted 16 days ago
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