Dewiz - Quantitative Researcher

De Circle

$150K — $180K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong background in Quantitative Research, Applied Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline.
  • Experience developing quantitative models for trading, market making, optimization, or financial markets.
  • Strong programming skills in Python, Rust, C++, or a similar language.
  • Solid understanding of probability, statistics, optimization, and market microstructure.
  • Curiosity about DeFi, digital assets, and decentralized market design.

Responsibilities

  • Design models and strategies to optimize capital execution and inventory management.
  • Conduct quantitative research to improve execution quality and unlock revenue opportunities.
  • Analyze market data to enhance liquidity pricing and trading mechanisms.
  • Shape the development of next-generation trading infrastructure with research insights.
  • Collaborate with teams to implement findings into practical trading applications.

Benefits

  • Comprehensive benefits package.
  • Opportunities for professional development and continuous learning.
  • Flexible working arrangements to promote work-life balance.
Full Job Description
As the ecosystem continues to expand, were looking for a Quantitative Researcher to help design the models and strategies that optimize execution, inventory management, and capital efficiency across both centralized and decentralized markets. The Role Youll work at the intersection of quantitative research, market microstructure, algorithmic trading, and DeFi, building models that directly influence how capital is allocated, liquidity is priced, and trades are executed. Your research will improve execution quality, unlock new revenue opportunities, reduce risk, and shape the design of next-generation trading and liquidity infrastructure. - Strong background in Quantitative Research, Applied Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline. - Experience developing quantitative models for trading, market making, optimization, or financial markets. - Strong programming skills in Python, Rust, C++, or a similar language. - Solid understanding of probability, statistics, optimization, and market microstructure. - Curiosity about DeFi, digital assets, and decentralized market design. Experience with market making, algorithmic trading, blockchain protocols, or MEV is a strong advantage, but not required.

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