Quant Researcher

1 month ago

Miami, United States Venture Search Full time

PhD Quant Researcher

Miami/ Singapore

Systematic Prop Trading


Our client is a systematic crypto prop trading firm, that was established by industry experts renowned for their accomplishments in algorithmic trading and finance. The role offers a unique opportunity to become part of an exceptionally talented team with a huge emphasis on delivering results.


The ideal candidate will have recently completed their PhD with strong research experience and ideally publications. Successful candidates will have the opportunity to learn from top-tier professionals and achieve substantial growth over time.


Responsibilities:


  • Conduct cutting-edge alpha and strategy research for crypto assets, leveraging state-of-the-art machine learning techniques and statistical modeling methodologies.
  • Generate inventive alpha concepts and explore novel datasets for alpha prospects within a collaborative research setting.
  • Optimize our client's crypto portfolio and evaluate trading performance.
  • Collaborate closely with an outstanding team of quant researchers and developers, benefiting from peer and industry expert insights, and providing support to team members for mutual success.
  • Implement solutions into production and promptly receive performance feedback.
  • Evolve into a key contributor to our client's trading strategy and research platform.


Qualifications:


  • Ph.D. in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Math, or another quantitative discipline (GPA 3.8+ required)
  • Demonstrated research track record showcasing innovation within the field.
  • Excellent Python Skills
  • Strong problem-solving abilities and a determination to excel.
  • Eagerness for continuous learning.
  • Ability to collaborate closely with other quant researchers within a highly cooperative environment.
  • Familiarity with financial markets or the crypto industry is beneficial but not mandatory – our client is willing to invest in the right candidate.

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