Careers / Business Developer
Quantum Trading Developer
About Victus Global
Victus Global is building the future of financial systems at the intersection of blockchain, AI, and advanced computation. Our ecosystem spans market making, OTC, and token infrastructure—powering over 140+ Web3 projects and financial institutions globally. We are now expanding into the bleeding edge of quantum finance to shape the next era of trading intelligence.
Role Overview
We are seeking a forward-thinking Quantum Trading Developer to research, design, and build quantum-enhanced algorithms for trading and financial optimization. You will work on cutting-edge quantum applications, collaborating with our quant, AI, and trading teams to disrupt traditional market strategies.
This is a high-impact R&D role for someone excited about bringing real-world use cases to quantum computing in financial markets, particularly digital assets, DeFi, and institutional liquidity.
PRINCIPAL DUTIES AND RESPONSIBILITES, INCLUDE BUT ARE NOT LIMITED TO:
- Build and refine ML models to optimize:
- Market making strategies across CEX & DEX
Order execution and slippage reduction - Trading signal generation (momentum, mean reversion, volatility breakout, etc.)
Price impact forecasting and risk management
- Integrate AI models into live trading systems with low-latency constraints
- Apply NLP to analyze on-chain, social, and news sentiment data to enhance trading intelligence
- Work with large datasets including tick data, liquidity pools, funding rates, and order book depth
- Develop real-time analytics dashboards for strategy monitoring and model performance
- Collaborate with quant researchers to backtest, simulate, and optimize model strategies
- Stay up to date on the latest developments in ML, LLMs, reinforcement learning, and predictive analytics for trading
Requirements
- Solid background in Computer Science, Data Science, Applied Mathematics, or related field
- 3+ years of experience in machine learning, AI systems, or quantitative modeling
- Strong coding skills in Python (NumPy, TensorFlow/PyTorch, scikit-learn, pandas)
- Experience with time-series modeling, financial forecasting, or algorithmic trading systems
- Ability to deploy models in production (Docker, APIs, etc.)
- Interest in or experience with crypto markets, DeFi protocols, or digital asset trading
- Bonus: Knowledge of Reinforcement Learning (RL), GANs, or online learning systems
- Bonus: Familiarity with crypto market microstructure and AMMs