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Quantitative Portfolio Manager

New York, New York, United States

About the Company

At 21.co Technologies, our mission centers on building scalable bridges into the world of cryptocurrency. By creating DeFi accessibility through traditional financial standards, we bring ourselves one step closer to the equitable financial future we all believe in.

About the Role

We are seeking a Quantitative Portfolio Manager to lead automated trading strategies and risk management for cryptocurrency and digital asset markets. The ideal candidate has strong expertise in crypto futures, perpetual contracts, and spot trading. However, we also welcome candidates with a strong quantitative finance background (e.g., systematic trading, derivatives, market-making) who have a deep personal interest in crypto, including personal projects, research, or hands-on trading experience in digital assets.

This role requires a blend of systematic trading expertise, algorithmic execution, and quantitative risk management, with the ability to collaborate closely with business, product, and engineering teams to scale strategies.

Key Responsibilities

  • Manage the trading P&L book, including daily operations, real-time strategy execution, and portfolio oversight.
  • Build and execute trading strategies, including idea generation, back-testing, and implementation, while adhering to advanced risk management metrics.
  • Liaise with key exchange counterparts to address margin requirements, borrows, trade breaks, technical issues, and market-making needs.
  • Collaborate with the product and business development teams to ensure strategies are viable, scalable, and aligned with business objectives.
  • Work with the engineering team to fully automate trading strategies and integrate them into robust trading systems.
  • Stay at the forefront of cryptocurrency and blockchain trends, incorporating new insights into trading strategies.

Qualifications

  • Technical & Quantitative Skills
    • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or Financial Engineering.
    • Background in quantitative finance or systematic trading – Crypto experience preferred, but a strong TradFi quant background is acceptable if paired with a deep personal interest in digital assets.
    • Experience developing & managing trading strategies – Expertise in futures, perpetual swaps, options, and derivatives trading.
    • Programming & automation skills – Strong proficiency in Python, SQL, and backtesting frameworks (Pandas, NumPy, QuantLib, etc.).
    • Understanding of trading market microstructure – Ability to model liquidity, order book dynamics, and execution slippage.
    •  Risk modeling & hedging – Experience managing leverage, basis risk, and market-neutral strategies.
  • Crypto Experience (Preferred, but Not Mandatory)
    • Ideal candidates have direct experience trading crypto markets. However, candidates from traditional finance (HFT, hedge funds, prop trading) who have:
    • Engaged in personal crypto research or trading projects
    • Developed strategies or backtests for crypto assets
  • Soft Skills
    • Entrepreneurial & adaptable mindset – Ability to pivot quickly in fast-moving markets.
    • Strong problem-solving & collaboration skills – Comfortable working cross-functionally with engineers, product teams, and business leads.
    • Clear communication & strategic thinking – Ability to articulate quantitative models, risk frameworks, and trading rationale to both technical and non-technical stakeholders.

This role is based in New York, and will be expected to work from our New York office in a hybrid model Monday - Wednesday.

Pursuant to Section 8-102 of title 8 of the New York City administrative code, the base salary range for this role is $200,000 - $225,000. Total compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

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