Quantitative Developer at Innomin Capital

• Develop and maintain comprehensive modules for market data acquisition, signal processing, real-time trading, and financial reconciliation
• Create backend functionalities for profit and loss analysis and risk management
• Implement and optimize trading strategy deployment and automation solutions
• Collaborate with trading and strategy teams to fulfill operational requirements
• Continuously enhance system performance for efficient automated trading

Innomin Capital, likely a sophisticated quantitative-focused financial firm given its name suggesting innovation and newness, is seeking a Quantitative Developer to build and optimize trading systems that provide a competitive edge in fast-paced markets. The emphasis on high-frequency trading and machine learning indicates a desire for candidates who can develop cutting-edge, high-speed algorithms and leverage data-driven strategies to maximize profitability and minimize risks. This role underscores the company's need for technical depth in system automation, reflecting their commitment to advanced trading technologies and likely a culture that values innovation and precision.

As an interviewer at Innomin Capital, I would assess candidates based on their strong programming skills in languages like Python, C++, or Java, their hands-on experience with quantitative trading system development, and their ability to demonstrate system optimization and collaboration in cross-functional teams. Key areas to evaluate include technical problem-solving, knowledge of financial markets, and real-world examples of how they've optimized trading strategies for performance and risk management.