Quant Developer

• Help traders to analyze and visualize their trading activities
• Work with trading and engineering to prototype, test, and integrate pricing and quoting models
• Contribute to core trading infrastructure: data ingestion, analytics, and monitoring
• Perform empirical research, back testing, and performance analysis using historical and real-time trading data
• Design, develop, and maintain user-friendly interfaces (UIs) for our analytical, monitoring and control applications
• Use AI and modern ML tools (including LLMs) to accelerate development, improve prediction, and enrich tooling 

• Undergraduate or Graduate Degree in Computer Science, Engineering, or a related field
• At least 3 years or more of experience in software development, ideally in a high-paced trading environment
• Strong software engineering skills in python and typescript/React.js with experience writing robust, performant and scalable code
• Self-driven, motivated, responsible and highly responsive individual
• Ability to work effectively in a fast-paced trading environment
• Able to deliver working projects and solutions effectively and quickly
• Basic understanding of financial markets and trading workflows
• Able to balance theory with practical implementation under real-time constraints 

Preferred / Desirable Experience

• Familiarity with crypto, FX, or futures trading and market making
• Familiarity with pricing models and risk analytics
• Understanding of order book dynamics, liquidity provision, and latency-sensitive systems
• Practical experience with data analysis, time series, and statistical learning
• Hands-on experience in a trading firm, hedge fund, or market-making environment, ideally with exposure to traders or risk managers
• Exposure to cloud computing, containers (Docker), or distributed systems
• Working knowledge of machine learning, AI assistants, and/or LLM integration for code generation, data summarization, or signal extraction

If you have experience/background working in the area of gaming/gambling this is highly preferred.