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Develop and implement statistical and machine learning trading strategies and quantitative models. Design optimization algorithms for portfolio construction and explore new research opportunities within derivatives and market behavior.

Conduct fundamental research on companies, industries, earnings, catalysts, corporate actions, and market-moving news to develop differentiated trade views. Analyze event-driven opportunities, build valuation models and research tooling, pitch long/short and volatility strategies, and defend recommendations to the Relative Value desk. The role also involves tracking information sources, developing options-market expertise, collaborating with traders, and using data, technology, and AI tools to improve research output.

Design, implement, test, and deploy low-latency trading strategies in modern C++. Collaborate with traders and researchers to build high-performance software driven by large-scale data and mathematical models. Apply expertise in parallel programming, distributed systems, networking, and performance analysis while contributing to architecture, Agile development, and potentially project or team leadership.

The Project Manager oversees multiple projects, driving timelines, motivating teams, and ensuring efficient communication while identifying risks and aligning project goals with stakeholder expectations.

As a Performance Engineer, you will enhance the trading engine's performance through software optimizations, benchmarking tools, and collaboration with cross-functional teams to identify improvement opportunities.

As a Software Engineer at Akuna, you will develop trading systems using modern C++ technologies, implement Linux services, and collaborate with traders.

As a Quantitative Researcher, you will develop trading strategies and improve predictive models using statistical and machine learning algorithms, while collaborating with trading teams.

As a Software Engineer on the Data Engineering team, you will design and maintain data platforms, build and deploy pipelines, and mentor junior engineers while working on high-impact projects across various teams.

One-week, in-person micro-internship introducing options trading: crash courses on risk management, game theory, and decision making; hands-on trading simulations; desk shadowing; lectures, networking, and social events. Transportation, accommodation, and a competitive stipend provided.

As a Quant Strategist, you will develop and enhance trading strategies using quantitative expertise, focusing on programming, analysis, and market signals collaboration.