All roles

Quant – Algo Trader – Futures – Hedge Fund – Contract to Hire

Remote · USA Full-time New today

Level Up Enterprises is seeking a highly skilled Algorithmic Trader / Quantitative Trader with deep experience in the U.S. futures markets—specifically Nasdaq (NQ), S&P 500 (ES), and Crude Oil (CL). You will work directly with our capital management and quant teams to design, build, and deploy high-performance algorithmic trading strategies that align with institutional-grade concepts. This role requires someone who not only understands profitable institutional trading models but can also translate those models into production-ready code and take strategies from research → backtest → optimization → live deployment with real capital.

Responsibilities

  • Research, design, and develop algorithmic trading strategies for NQ, ES, and CL.
  • Implement institutional trading concepts (market structure, liquidity, order blocks, FVGs, order flow, etc.) into systematic logic.
  • Conduct robust backtesting using high-quality datasets (e.g., Databento).
  • Optimize execution, risk management, and position sizing for low-latency futures environments.
  • Deploy algorithms into live markets and monitor performance, PnL, and risk metrics.
  • Identify market inefficiencies and quantitative opportunities to improve win-rate, R:R, and stability.
  • Collaborate with our developers and interns to build scalable trading systems and tooling.

Requirements

  • Proven experience trading or building algos for futures (NQ, ES, CL).
  • Strong understanding of institutional trading concepts and price delivery.
  • Ability to code strategies end-to-end (Python preferred; C++/JS/Pinescript is a plus).
  • Hands-on experience deploying live automated strategies on real accounts.
  • Experience with backtesting engines, tick data, and exchange-level microstructure.
  • Strong knowledge of risk management and trade orchestration.
  • Comfortable iterating quickly, testing hypotheses, and optimizing performance.
  • Self-driven, detail-oriented, and capable of independent research.

Preferred Qualifications

  • Experience with Databento or similar high-quality market data providers.
  • Experience building order block, FVG, market structure, or volume-based models.
  • Familiarity with NinjaTrader, Rithmic, Tradovate, or CQG connectivity.
  • Experience with ML-based pattern identification (optional).
  • Track record of profitable strategies or automation results. Apply tot his job Apply tot his job Apply tot his job

Apply tot his job Apply To this Job Apply tot his job Apply To this Job

Related roles

Frontend Developer (React.js)

Remote · USA Full-time

Full Stack Developer (Node.js / React.js)

Remote · USA Full-time

[Remote] Flutter Flow / React Native developer

Remote · USA Full-time

Litigation Associate (Eminent Domain / Real Estate) | LA | Hybrid / Remote | $140k-$220k

Remote · USA Full-time

Cloud Solution Architect – Functional (Dynamics 365 Finance & Operations)

Remote · USA Full-time

Experienced Remote Data Entry Specialist – Administrative Support & Research Assistant

Remote · USA Full-time

Acoustical Consultant

Remote · USA Full-time

Regulatory Affairs Consultant (part time)-Medical Devices

Remote · USA Full-time

Combination Products Regulatory Consultant

Remote · USA Full-time

Contract Compliance Analyst – Labor & Wage Law

Remote · USA Full-time

Audit Associate - Alternative Investments

Remote · USA Full-time

Amazon Data Entry Jobs ? No Experience required

Remote · USA Full-time

[FULL TIME Remote] Senior Consultant, Analytic Consulting

Remote · USA Full-time

Experienced Full Stack Data Engineer – Cloud Application Development at arenaflex

Remote · USA Full-time

Remote Director of Accounting & Tax Services, CPA (NGA1050405)

Remote · USA Full-time

(Remote) Transaction Coordinator - Join One of Utah’s Top Teams!

Remote · USA Full-time

Intern, Quality & Food Safety

Remote · USA Full-time

Senior Analyst, Growth Product

Remote · USA Full-time

Experienced Data Entry and Customer Service Representative – Entry-Level Opportunity with arenaflex

Remote · USA Full-time

Experienced Customer Service Chat Representative – Work from Home Opportunity with arenaflex

Remote · USA Full-time