Quantitative Trader - Global Session Coverage

Summit Securities Group, LLC; New York (NY); On-site; USD 125,000 - 200,000; Full time

Benefits offered by this job

401k matching

Comprehensive medical, dental, and vision insurance

Lunch stipends

Happy hours

Gender-neutral parental leave

Job summary

Summit Securities Group, LLC is seeking a Quantitative Trader to enhance global trading coverage. This role requires strong analytical skills and experience with Python for market analysis and trading during non-U.S. hours.

The ideal candidate will manage live orders, analyze risk, and contribute to the development of trading workflows. The position offers a hybrid work structure and a salary range of $125,000 - $200,000 based on experience.

Qualifications

• 2–6 years in a quantitatively oriented trading, trading analyst, execution, research, or market-risk role.
• Comfort using math, statistics, market data, and structured reasoning to evaluate trading opportunities and risks.
• Ability to turn market observations into testable hypotheses and evaluate them rigorously with data.

Responsibilities

• Use Python, market data, and statistical reasoning to investigate market behavior and test hypotheses.
• Manage orders during Asian/non-U.S. market sessions and respond to changing market conditions.
• Track exposures, P&L, fills, and market moves while identifying issues early.

Skills

Python fluency

Quantitative Problem Solving

Risk & P&L Ownership

Strong written and verbal communication

Education

BA/BS in Mathematics, Computer Science, Engineering, Economics, Finance, Statistics

Tools

SQL

Job description

Quantitative Trader - Global Session Coverage Remote Trading Remote Full-time

Human Intuition. Machine Intelligence. Relentless Exploration.

Exceptional trading emerges where human intuition meets frictionless experimentation. Our platform and processes enable traders to rapidly investigate ideas, identify emergent patterns, and transform insights into live strategies. This synthesis creates a flywheel of discovery — the key to our pursuit of excellence.

The Role

We are looking for a quantitatively driven trader to help expand our global trading coverage. Our team approaches the markets through data, mathematical reasoning, market structure, and systematic experimentation. We use our intuition to find patterns, investigate them, and capture opportunities. We want someone who can combine research, modeling, and live trading. You will use Python and market data to research and backtest trade ideas, improve execution workflows, analyze risk and P&L, and manage live orders during Asian and non-U.S. market hours. You will form your own views on where to look, what to test, and what to leave alone — and defend those views when challenged. This is a growth opportunity: you will help build the processes, tools, analytics, and handoff discipline that allow the team to operate more continuously across global markets. The right person will be technically strong, mathematically curious, commercially aware, and comfortable operating in live markets where judgment, preparation, and precision matter. This role may be based in our New York office or remote.

Responsibilities

• Quantitative Research & Modeling: Use Python, market data, and statistical reasoning to investigate market behavior, decide which hypotheses are worth pursuing, test them, model trade opportunities, and backtest new ideas.
• Idea Selection & Direction-Setting: Form a point of view on where the desk should look and what to ignore. Prioritize across a noisy set of possibilities, commit to a direction without waiting to be told, and update your views when the evidence shifts.
• Live Trading & Order Management: Manage orders during Asian/non-U.S. market sessions, monitor execution quality, and respond thoughtfully to changing market conditions.
• Risk & P&L Ownership: Track exposures, P&L, fills, market moves, and trading-system behavior; identify issues early and address with judgment.
• Execution & Market Microstructure Analysis: Study liquidity, slippage, fills, and market structure to improve trading outcomes and inform future strategy development.
• Global Coverage Buildout: Help design the workflows, tools, dashboards, reports, and SOPs that allow the desk to scale non-U.S. trading coverage.
• Cross-Session Handoff: Maintain clear communication with U.S.-based traders, including concise summaries of market activity, open risks, completed orders, unresolved issues, and research observations.
• Process & Tool Improvement: Build and refine tools that make trading, research, monitoring, and reporting more scalable, reliable, and decision-useful.

You Bring

• Experience: 2–6 years in a quantitatively oriented trading, trading analyst, execution, research, or market-risk role.
• Technical Toolkit: Strong Python fluency for data analysis, backtesting, modeling, execution review, risk monitoring, and workflow automation.
• Quantitative Problem Solving: Comfort using math, statistics, market data, and structured reasoning to evaluate trading opportunities and risks.
• Trading Judgment: Understanding of risk, P&L, order management, market microstructure, and the practical realities of live trading.
• Research Orientation: Ability to turn market observations into testable hypotheses and evaluate them rigorously with data.
• Independent Judgment: A point of view on what is worth working on. You can prioritize across a noisy set of possibilities, commit to a direction without permission, and change your mind when evidence warrants.
• Execution Discipline: Comfort managing live orders, monitoring risk, and acting decisively under time pressure.
• Ownership & Composure: High-agency, detail-oriented, and able to make clear decisions, manage live risk, and uplift appropriately when conditions change.
• Communication: Strong written and verbal communication, especially for cross-session handoffs and collaboration with traders, quants, and engineers.
• Education: BA/BS in Mathematics, Computer Science, Engineering, Economics, Finance, Statistics, or another technical/quantitative field.

Extra Credit

• Non-U.S. Market Experience: Experience trading, researching, or supporting Asian, European, or other international markets.
• Product Knowledge: Familiarity with equities, ETFs, ADRs, derivatives, corporate actions, index events, or cross-border market structure.
• Data Infrastructure: Experience with SQL, large time-series datasets, Bloomberg, market-data terminals, or internal trading datasets.
• Trading Systems Fluency: Familiarity with systematic trading infrastructure, execution systems, risk tools, or C++, Java, or other production languages.
• Prior Desk Experience: Experience at a proprietary trading firm, market maker, hedge fund, bank trading desk, or systematic trading team.

Ideal Profile

• Quantitative Market Lens: You naturally frame market questions in terms of distributions, expected value, risk, liquidity, and repeatable evidence.
• Technical Trader: You see Python, data, modeling, and backtesting as part of how you trade — not as separate support functions.
• Principal Mindset: You operate as a decision-maker, not an executor. You bring opinions to the table, defend them when challenged, and change them when warranted. You can tell the difference between a promising signal and an interesting-but-irrelevant one.
• Live-Market Judgment: You can balance model-driven analysis with the practical reality of managing orders, risk, and changing market conditions in real time.
• Builder Mentality: You want to help create a more scalable global trading operation, not simply inherit a static process.
• Clear Communicator: You understand that clean handoffs, concise written summaries, and disciplined escalation are essential parts of risk management.
• Global Orientation: You prefer non-U.S. markets and are willing to cover Asian/non-U.S. trading hours as part of a growing global footprint.

We Offer

At our firm, our people come first. We are committed to building a culture of collaboration, where we support each other through challenges and celebrate our collective successes. We believe that the strength of a modern workplace lies in its diverse workforce—diverse in ideas, cultures, and experiences. We actively foster this environment and take pride in being an equal opportunity employer. In compliance with New York City’s Pay Transparency Law, the anticipated base salary for this role ranges from $125,000 - $200,000 annually, based on experience and qualifications. We offer competitive compensation packages, 401k matching, gender-neutral parental leave, and comprehensive medical, dental, and vision insurance. While we value flexibility, we believe that in-person collaboration is key to solving complex challenges, which is why we require employees to be in the office 4 days a week. In-office perks include lunch stipends, fully stocked kitchens, happy hours, and a great location with amazing colleagues.