A leading multi-strategy hedge fund is seeking an Algo Trader – Team Lead to oversee the design, development, and execution of high-performance trading strategies across global markets. This is a front-office leadership role for someone who can blend deep quantitative insight with real-time market intuition—and lead a team that lives at the intersection of data, code, and capital.
You’ll drive the evolution of the firm’s algorithmic trading stack , mentor a group of talented quantitative developers and traders, and collaborate directly with portfolio managers, technologists, and researchers to optimize execution and generate alpha.
What You’ll Do
Lead a team responsible for algorithmic strategy development, execution, and optimization across equities.
Oversee alpha generation, signal testing, model validation, and live deployment in low- and mid-frequency environments.
Collaborate with quant researchers, data engineers, and PMs to design scalable trading models and infrastructure.
Manage real-time execution, order routing, and risk controls in live markets.
Continuously monitor strategy performance and market conditions, adjusting algorithms to maintain profitability and minimize slippage.
Guide the development of execution algorithms (VWAP, POV, implementation shortfall) and backtesting frameworks.
Partner with technology teams to improve latency, infrastructure stability, and system monitoring .
Ensure rigorous documentation, performance tracking, and post-trade analytics to support data-driven decision-making.
Recruit, mentor, and develop junior traders and quantitative developers.
What You Bring
7–12+ years of experience in algorithmic or systematic trading , ideally in a hedge fund, proprietary trading firm, or bank.
Proven track record leading or contributing to profitable trading strategies across equities, futures, or FX .
Strong programming skills in Python, C++, or Java , with experience in data analysis, optimization, and simulation environments.
Deep understanding of market microstructure, execution dynamics, and order management systems .
Background in mathematics, computer science, physics, or financial engineering (advanced degree preferred).
Leadership experience managing teams of traders, quants, or developers in a performance-driven setting.
Ability to balance short-term trading responsiveness with long-term strategic model development.
Entrepreneurial mindset—innovative, detail-oriented, and motivated by measurable results.
Why It’s Worth a Conversation
Leadership seat within a highly profitable systematic platform with significant P&L potential.
Autonomy to shape strategy design, tech stack, and team composition.
Direct exposure to PMs, data science, and trading technology in a collaborative, elite environment.
Competitive payout model , strong infrastructure support, and global reach.
- Compensation is for Total Comp