[Remote] Algo Trading Quant

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

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.

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

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-making, delta-neutral strategies, basis trading, or short-horizon alpha strategies in digital assets
Quantitative degree in Mathematics, Statistics, Computer Science, Physics, Financial Engineering, or a related field. Post-graduate degrees are a plus but not required
Experience building end-to-end machine learning pipelines: from data ingestion and feature engineering through model training, validation, and production inference
Familiarity with cloud computing environments (e.g., AWS) and modern DevOps practices including containerization and orchestration
Experience with blockchain explorers, DeFi analytics platforms (e.g., Dune, Nansen, Glassnode), and on-chain data tools
Experience working in a remote-first, fast-paced startup or scaling environment where speed and ownership matter more than process
Familiarity with exchange APIs, order book dynamics, and the mechanics of automated order execution across multiple venues
Proof-of-concept or live performance data for existing quantitative strategies you have personally developed

Competitive salary package
Unlimited PTO
Flexible work schedule
Team off-sites
Young and dynamic culture with team members across 30+ countries
Fully remote with a very supportive team. You have the ability to work from anywhere in the world!
The chance to be part of a rapidly scaling, global DeFi education company
Opportunities to influence content, education, and investment insights that reach thousands of learners
Direct, measurable impact - your strategies are the product, used by hundreds of paying members. You will see the real-world results of your work immediately
Accelerated responsibility and ownership compared to traditional finance environments. No legacy systems, no corporate bureaucracy, no multiple levels of approvals
The opportunity to work closely with leadership, including the C-suite and founding team, in a flat and hands-on environment

Institutional-grade crypto research and education for investors looking to maximize returns using professional strategies It was founded in 2022, and is headquartered in Sharjah, Sharjah, ARE, with a workforce of 51-200 employees. Its website is https://www.decen-masters.com.

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