Quantum Researcher

Tasks

• Development and refinement of fundamental strategies for applying inflation and anti-inflation theme signals to private, cash, and digital assets.
• Work with AI and NLP models to leverage alternative data provided by our public web crawling team and find new ways to predict on-chain data and transactions in order to better achieve outperformance.
• Developing new investment ideas to maximize alpha returns.
• Development and Modeling of Asset Allocation Models for Trend/Momentum.
• Definition and Development of Momentum, Volatility, and Beta Risk Factors for Portfolio Managers.
• Development of new real-time data solutions for AI modeling by investment managers.
• Developing and testing new models that improve upon traditional strategies such as trend-cost-timing, mean reversion, volatility, and portfolio optimization.
• Collaborate with our in-house blockchain development team to gain a better understanding of smart contract applications and to develop and deploy smart contracts that enhance investment performance.
• Brainstorming new ideas to advance technology, data, and insights.
• Work as a Digital Asset Strategy Assistant in the areas of strategies, models, backtesting, and proprietary quant-matic work, while building relationships with industry partners.
• Develop and maintain a model for predicting a broad range of investment strategies, including altcoins, stablecoins, altcoin exchange rates based on market sentiment, altcoin development team attitudes, social analytics, and derivatives market data.
• Assessing exchange liquidity and building relationships with stablecoin and altcoin exchanges to gain a thorough understanding of the market.
• Development of innovative trading models by modeling data on specific trading pairs/altcoin pairs across various exchanges.
• Integration with proprietary programming tools for monitoring smart contracts, trading, or other market conditions and signals.
• Assessment of exchanges with regard to their vulnerability to market volatility, order flow imbalances, liquidity, and other factors.
• Implementation of processes to support our modeling and monitoring systems.
• Conducting quality assurance, data engineering, AI, deep learning model backtesting, and monitoring.

Requirements

• Experience developing a trading bot using Node.js or Python.
• Knowledge of fundamental quantitative modeling and modeling using Python and C++.
• Fluency in English and an eye for detail.
• We welcome candidates who speak French, Spanish, or Arabic.