Junior Quant Trader

Responsibilities:

Work with the global investment team to execute crypto trades and strategies on behalf of senior traders, portfolio managers and business needs
Operate automated trading systems including adjusting strategy parameters.
Manage the execution of trades across multiple exchanges and OTC counterparties
Identify opportunities to capture alpha given macro market trends and micro dislocations
Monitor portfolio risk at all times ensuring precision execution and compliance
Determine ex-post PnL attribution of trading market impact and related performance
This role will require spanning multiple global business hour time zones
Build models and develop data-driven analysis to improve current execution workflow
Suggest automation and improvements to systems and strategies.
Work closely with investment analysts, research analysts, data scientists and quantitative data analysts to develop and implement optimized trading strategies
This role is an execution-only capacity with the potential to grow to discretionary risk taking over time

Required Experience & Skills:

3+ years of trading experience in any linear asset class, STEM graduates welcome to apply if a strong interest in trading
Advanced programming skills in C#, Java & Python (Preferred).
Ability to articulate and troubleshoot trades, strategies, and systems.
Attention to detail and precision in the execution of a task.
Passionate about digital assets, decentralized finance and blockchain technologies
Working knowledge of various cryptocurrencies, derivative instruments and associated trading activities and strategies is essential
Working knowledge of crypto exchanges, trading platforms and procedures
Professional crypto experience is not required but candidates must show demonstrated proficiency and aptitude in crypto trading
BS/MS from a leading university in mathematics, computer science physics, or similar quantitative field. Advanced Degree Preferred.
Strong numerical and quantitative analysis skills.
Ability to manage multiple tasks within a fast-paced trading environment. Experience developing and executing fully systematic strategies.
Knowledge of common machine learning frameworks.

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