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RecruitGarden · Remote · remote

Quantitative Analyst (Crypto)

Game development Unity

salary not specified

Apply on the source site → Your application goes straight to the employer on the site where the job is posted: djinni.co

▮ Description

Our partner is a fast-growing algorithmic trading and fintech company with a proven track record of exceptional results. They delivered annual returns of 60–100%. Current AUM stands at $15M, with an additional $20M from a prominent Hong Kong-based fund in advanced discussions. Their proprietary platform processes up to 12,000 messages per second via WebSocket, generates ~4,000 trading signals annually (75% profitable), and operates across Binance and Bybit futures markets — with active plans to scale further.
Main Responsibilities

  • Develop and implement sophisticated algorithms for automated trading across financial markets
  • Research and backtest new trading strategies using historical and real-time data
  • Build mathematical and statistical models for risk assessment and market movement prediction
  • Analyze and optimize existing strategies to improve performance and cost-effectiveness
  • Collaborate closely with developers and engineers to integrate trading algorithms into the production system
  • Conduct stress testing of strategies and adapt them to rapidly changing market conditions
  • Monitor live trading performance, debug issues, and ensure strategy resilience
  • Contribute to the development of a scalable, high-performance system architecture

Mandatory Requirements

Must have:

  • 5+ years of experience in algorithmic trading, financial analysis, or quantitative modeling
  • Deep understanding of financial markets, trading theories, and algo trading principles
  • Strong expertise in probability theory, statistics, and mathematical modeling
  • Proficiency in Python and/or Go; familiarity with Pandas, NumPy, scikit-learn
  • Hands-on experience with live data feeds, exchange APIs, and financial platforms
  • Proven ability to develop and test trading strategies using statistical methods

Nice to have:

  • Experience with Binance, Bybit, or similar crypto exchanges
  • Knowledge of HFT techniques and algorithm optimization
  • Familiarity with ML methods for forecasting and classification
  • Experience with distributed systems or high-performance computing; knowledge of Rust or C++

We offer

  • Performance bonuses — percentage of profits generated by your strategies + milestone incentives for development and optimization
  • Professional development — sponsorship for CFA/FRM/CQF certifications, access to industry conferences and internal training programs
  • Cutting-edge tools — high-performance servers, GPU clusters, proprietary backtesting infrastructure, premium datasets and APIs
  • Flexible remote work — fully remote to start, with a future office in Europe; flexible hours aligned with global markets
  • Growth opportunity — join at a pivotal stage of expansion: five major exchanges, U.S. market entry, $35–40M capital raise in progress, and a sub-fund being established under a leading Hong Kong partner

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