Jobs at Akuna Capital

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.

Develop and maintain Business Operations engineering projects including a bitemporal PostgreSQL cost-attribution system. Build integrations with Jira, NetSuite, Device42, Bitbucket, and other sources. Integrate LLM/AI APIs and native AI features into workflows, automate reports and pipelines for Procurement/Finance/HR, and ensure secure data-handling. Lead development, document schemas, and support deployment and ongoing production maintenance.

As a Quantitative Researcher, you will develop sports pricing capabilities by designing data pipelines, calibrating pricing models, and deploying models into trading strategies.

10-week platform engineering internship building and automating scalable, reliable hybrid-cloud platform systems. Interns design, implement, and test production infrastructure, collaborate with platform teams, and own a project to improve platform capabilities.

Join the UI team for a 10-week summer internship to design, build, test, and maintain real-time C# .NET desktop trading applications. Collaborate with traders, quants, and engineers, implement unit and integration tests, evaluate UI technologies, and participate in Agile/Scrum and application support processes. Interns own a project and present outcomes at program end.

10-week quant intern will design and implement production trading code, build pricing and execution models, analyze market signals, optimize performance, and collaborate with researchers, traders, and engineers to improve trading systems.

Work on high-performance, low-latency C++ systems for trading: maintain core systems, implement lower-risk features, execute individual projects, and collaborate with Quant and Trading. Focus areas include concurrency, networking, profiling, and performance tuning while supporting multithreaded, asynchronous, and distributed architectures.

Develop and prototype production trading code (pricing models, execution logic, performance optimizations), analyze and incorporate market signals, and collaborate with researchers, traders, and engineers to improve trading systems.

10-week Chicago internship applying machine learning and statistical methods to develop trading strategies, design optimization algorithms for portfolio construction, and build quantitative models of market behavior. Interns extend existing research and explore new topics while implementing models and algorithms in Python alongside mathematicians and technologists.

10-week full-stack web internship building real-time trading applications. Collaborate with traders, quants, and engineers using React, TypeScript, and Python. Own a project, write unit/integration tests, evaluate new technologies, and participate in Agile/Scrum and support shadowing. Present final work at program end.

Join Akuna as an entry-level Python software engineer to build high-performance, low-latency trading and data systems. Work with traders and engineers on distributed systems, data capture, and analytics while contributing clean, testable code and learning domain-specific trading infrastructure.