Careers / business developer
AI engineer – quantitative & trading intelligence
About Victus Global
Victus Global is a Web3-native trading and investment ecosystem operating across market making, OTC, token infrastructure, and institutional-grade liquidity solutions. We power some of the most promising projects in the digital asset space—supporting over 140+ startups and financial institutions with deep tech, strategy, and execution. As we scale our quantitative capabilities, we are building an internal team focused on predictive modeling, ML/AI-driven decision systems, and real-time data intelligence to improve our market strategies.
Role Overview
We’re looking for a highly capable AI Engineer to join our quant and trading infrastructure team. Your mission will be to develop and deploy state-of-the-art AI/ML models that power trading automation, price prediction, market anomaly detection, and liquidity optimization across centralized and decentralized markets.
This role combines advanced machine learning expertise with practical applications in crypto and digital finance. You’ll work side-by-side with traders, quant researchers, and data engineers to push the frontier of algorithmic performance in Web3.
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
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