Wintermute helps traders and institutions access digital asset liquidity through algorithmic market making and OTC services. Users can trade various tokens, access derivatives markets, and execute large orders without market impact. Wintermute provides deep liquidity across centralized and decentralized platforms.

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Skills

Algorithmic Trading Analysis Coding Cryptocurrency Data Analysis High-Frequency Trading Liquidity Provision P&L Python Quantitative Analysis Strategy Development Trading

Candidate Availability

Onsite · New York · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

After an initial training period, you will improve existing strategies, add trading products, enhance trading technology, analyse trading and transaction data, generate insights, and build solutions. You will develop trading ideas and strategies while taking ownership and contributing to P&L.

Requirements

Strong Python skills with 1–3 years of coding experience through work study or personal projects
Excellent quantitative and analytical skills
Strong willingness and curiosity to learn algorithmic high-frequency quantitative and liquidity provision trading
Strong trading intuition
Owner mentality
Problem-solving ability
Determination ambition humility and willingness to work hard and learn
Entrepreneurial mindset
Willingness to work non-standard hours

Responsibilities

Improve existing trading strategies
Add new trading products
Improve technology behind trading systems
Analyse trading and transaction data
Generate and prioritise insights
Build solutions based on data findings
Explore new trading ideas and strategies

Benefits

Team meals festive celebrations gaming events and company-wide team-building events
New York City office
Discretionary bonus
Paid leave
Medical insurance

Hiring Process

The company will test Python coding skills quantitative and analytical skills and trading intuition during the interview process.