Quantitative Trading Developer (Equities/Options/Crypto)

Company Description Royal Trust Investments (RTI) is a digital asset-focused investment fund specializing in macroeconomic analysis, on-chain research, and risk management. The team develops investment and hedging strategies designed to generate yield on digital asset holdings while managing downside risk. RTI operates at the intersection of traditional finance and digital assets, offering a data-driven, research-oriented environment.

Role Description The Quantitative Trading Developer (Equities/Options/Crypto) is a full-time remote role responsible for designing, implementing, and maintaining systematic trading strategies across multiple asset classes, with a core focus on crypto markets. Day-to-day work includes building and optimizing algorithmic trading models, backtesting strategies, and analyzing performance using quantitative methods. The role involves integrating market data feeds, developing execution algorithms, and ensuring robust risk controls within the trading infrastructure. The developer collaborates with investment and research team members to translate macroeconomic and on-chain insights into implementable trading strategies and continuously improves models based on live trading results.

Qualifications

• Candidates should possess strong skills in Trading and practical experience implementing strategies in live markets.
• Candidates should possess strong skills in Quantitative Analytics and Quantitative Finance for model development and performance evaluation.
• Candidates should possess strong skills in Mathematics and Statistics for building, testing, and validating systematic strategies.
• Proficiency in programming languages commonly used in quantitative trading (such as Python or C++) and experience with data analysis libraries and tools.
• Knowledge of equities, options, and crypto market microstructure, liquidity dynamics, and risk management practices.
• Experience with backtesting frameworks, portfolio optimization, and time-series analysis.
• Ability to work independently in a remote setting, communicate clearly, and collaborate effectively with a distributed team.
• Bachelor’s or advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Physics, Engineering, Finance) or equivalent practical experience.

Ideally you are located in LATAM in either eastern or central time zone