[Remote] Algo Trading Quant

Note: The job is a remote job and is open to candidates in USA. Decentralized Masters is a leading company in DeFi education, recognized for its rapid growth and innovative approach. The Algo Trading Quant will be responsible for designing, building, and deploying automated quantitative trading strategies, directly impacting the company's product offerings and client success.

Responsibilities

• Design and implement predictive quantitative trading models, including both market-making and directional strategies, for automated execution on decentralized perpetual exchanges such as Hyperliquid
• Apply statistical modeling and research methodology - including regression analysis, time-series forecasting, and machine learning - to identify and validate trading signals across varying time horizons
• Lead research efforts to discover new alpha sources, optimize strategy parameters through rigorous backtesting, and expand the number of available strategies to support growing user capacity
• Perform experiment design, dataset generation, feature engineering, and model building on financial datasets, following the full research-to-production pipeline
• Run simulations and estimate market impact of quantitative models, accounting for realistic assumptions around slippage, fees, funding rates, and liquidity constraints
• Proactively identify trading opportunities and risks by analyzing historical market data across multiple markets and instruments
• Write clean, well-documented, production-grade code with proper version control (Git), testing, and deployment practices
• Own the full development cycle: from initial research and prototyping through deployment into production and ongoing maintenance of live trading systems
• Build and maintain robust backtesting infrastructure that produces unbiased estimates versus live realization, reflecting the limitations of available infrastructure
• Monitor live strategy performance in real time, diagnose issues, and iterate on models based on production data and changing market conditions
• Analyze performance metrics and other quantitative measures to inform decisions about trading system design and improvements
• Implement and maintain trading models, ensuring seamless transition from research to live trading with automated deployment pipelines
• Collaborate with the existing quant as a peer reviewer - independently creating strategies while validating, challenging, and stress-testing each other's work before production deployment
• Participate in strategy review sessions where both quants present their models, assumptions, and results for mutual critique and refinement
• Contribute to internal documentation, research frameworks, and knowledge-sharing practices to reduce key-person risk across the quantitative trading function
• Translate complex quantitative concepts and strategy performance into clear summaries for non-technical stakeholders and leadership
• Act as an intellectual entrepreneur: proactively create novel tools, explore innovative approaches, and develop solutions that drive commercial impact - not just theoretical elegance

Skills

• 3+ years of professional experience developing and deploying quantitative trading models at a top-tier quantitative trading firm (e.g., Jane Street, Wintermute, Jump Trading, Citadel, Two Sigma, DRW, Tower Research, HRT, or equivalent). Crypto algo trading experience is beneficial but not required
• Proven track record of building and deploying profitable automated trading strategies in production environments, with real P&L attribution
• Experience with machine learning applied to trading: feature engineering, model selection, hyperparameter tuning, overfitting mitigation, and deployment of models into production
• Strong understanding of statistical modeling, time-series analysis, regression techniques, and quantitative research methodologies
• Solid software engineering practices: version control (Git), automated testing, CI/CD pipelines, and writing production-quality code that others can maintain and extend
• Experience with full-cycle development: researching, prototyping, writing and debugging code, deploying to production, and monitoring and maintaining live trading systems
• Strong ability to reason through quantitative problems, communicate results effectively, and explain technical findings to non-technical stakeholders
• Self-directed problem solver who can operate autonomously, take ownership of projects end-to-end, and deliver results without close supervision
• Reliable and predictable availability to ensure smooth operations of production trading systems, including willingness to respond to critical issues outside standard hours
• Direct experience trading on decentralized perpetual exchanges such as Hyperliquid
• Familiarity with DeFi-specific dynamics: funding rates, liquidation mechanics, MEV, on-chain data analysis, and how trading systems interact with decentralized exchanges
• Experience with crypto market-makin

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