Quantitative Trader - Machine Learning - NY

We’re Hiring Traders at Quantitative Strategies Group (QSG)

📍 New York City

👉 All candidates must apply directly through our website:

https://www.qsgcap.com

Applications submitted via LinkedIn messages or recruiters will not be reviewed.

About QSG

Quantitative Strategies Group (QSG) is a proprietary trading firm trading firm capital only. Traders at QSG are building long-term trading businesses inside the firm with real ownership, real accountability, and real risk.

These are not salaried roles, not training programs, and not research-only positions. Capital allocation, responsibility, and compensation are earned over time based entirely on performance, discipline, and risk management.

We are currently hiring for two roles.

Quantitative Traders

Location: New York City

Quantitative Traders at QSG are building long-term trading businesses inside the firm. This is a New York City–based role. Traders manage their own account within the firm and work in person to maintain tight feedback loops around risk, capital allocation, infrastructure, and live trading decisions.

Traders operate independently while benefiting from shared firm infrastructure, including capital, technology, market access, risk management, and ongoing internal education. Our technical resources are used by all traders, regardless of seniority, to expand market knowledge, refine ideas, and deepen familiarity with our in-house technology and proprietary programming language.

From the outset, traders contribute directly to research, strategy development, and implementation. Initial risk limits are modest and scale over time based on demonstrated performance, discipline, and adherence to risk constraints.

This role is designed for individuals who want to take ownership of their work, engage deeply with live markets, and compound skill over the long term within a collaborative trading environment.

Ideal candidates typically:

• Have a strong quantitative, technical, or research-oriented background
• Have already explored markets independently through research, coding, backtesting, or strategy development
• Are comfortable owning models end to end, from hypothesis formation through evaluation and failure analysis
• Value continuous learning and self-directed improvement
• Are not seeking a classroom-style training program or salaried role
• Want to build a long-term career in proprietary trading

Prior live trading experience is not required, but candidates must demonstrate evidence of serious, hands-on quantitative work.

Graduating Academic Traders

Location: Remote while in school | New York City after graduation

Graduating Academic Traders at QSG begin building a real trading business while still completing their degree. This is not an internship, training program, or temporary role. Expectations, evaluation, and capital allocation follow the same framework used for all traders at QSG.

During the academic year, traders typically work remotely. After graduation, they transition to working from New York City with a primary professional focus on QSG.

From the outset, Graduating Academic Traders engage directly in research, strategy development, and implementation using the same firm infrastructure, internally developed tools, and risk framework as full-time traders.

This role exists because building a durable trading business takes time. Starting earlier allows motivated students to develop skills, processes, and a track record before graduation. Outcomes depend entirely on individual performance, discipline, and risk management. There are no guaranteed timelines, outcomes, or compensation.

Ideal candidates typically:

• Are current undergraduate or graduate students with strong quantitative, technical, or research-oriented backgrounds
• Have already explored markets independently through research, coding, backtesting, or strategy development
• Are self-directed learners who value continuous improvement and long-term ownership
• Are comfortable with real accountability and performance-based evaluation

Important Notes

• These roles are performance-based and entrepreneurial in nature
• We prioritize candidates who defer intuition to data and are willing to discard ideas that fail empirical validation
• Applications that do not demonstrate hands-on quantitative or technical work will not be competitive
• We do not review applications submitted via LinkedIn messages or recruiters

👉 All candidates must apply directly through our website:

https://www.qsgcap.com