Research, model, backtest, and trade strategies using Python and market data. Manage live orders and risk during Asian/non-US sessions, analyze execution and market microstructure, build tooling and SOPs, and coordinate cross-session handoffs with US traders.
Human Intuition. Machine Intelligence. Relentless Exploration.
The Role
Responsibilities
You Bring
Extra Credit
Ideal Profile
We Offer:
Exceptional trading emerges where human intuition meets frictionless experimentation. Our platform and processes enable traders to rapidly investigate ideas, identify emergent patterns, and convert 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 are looking for 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 / non-U.S. market hours. You will be expected to form your own views on where to look, what to test, and what to leave alone — and to 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 escalate 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.
- 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 waiting for permission, and change your mind when the 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 escalate 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.
- 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.
- 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 are interested in non-U.S. markets and willing to cover Asian / non-U.S. trading hours as part of a growing global footprint.
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. Please note, this range excludes other components of total compensation, such as bonuses.
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.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and coach regional sales leaders and direct reps to drive new business and revenue growth. Own territory and quota planning, forecasting, pipeline management, C-level engagement, partner collaboration, and cross-functional alignment. Recruit and develop talent, support field teams to close deals, and retain/expand customer accounts while executing strategic sales initiatives to meet quarterly and annual targets.
Top Skills:
AICRMServicenow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead technical architecture and platform strategy for ServiceNow implementations across federal customers. Advise executives and engineering teams on instance strategy, integrations, governance, cloud application design, and technical debt reduction. Scope engagements, support sales, contribute leading practices, mentor others, and ensure long-term platform health and adoption.
Top Skills:
AIAPIsCloudIntegrationsServicenow
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Develop, deploy, and maintain RTOS and Linux (Yocto) configurations and hypervisor (Xen/KVM) integrations for safety-critical systems. Lead technical design, testing, performance analysis, and verification activities. Provide subject-matter expertise, tooling/process improvements, and support software lifecycle from requirements through deployment.
Top Skills:
Arinc 653BazelBootloadersBuildrootCC++ClangDevice DriversDockerGccGitGitlab CiKvmLinux KernelPodmanPosixPythonRtosRustXenYoctoYocto Linux
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
