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Networking and career exploration event introducing students to market making and trading at Maven. Attendees will meet traders, learn about trading skills and career paths, and hear about 2027 trader internship and graduate programs. No prior work experience or finance knowledge is required. Attendance is limited to students based in the Chicago area.

Virtual webinar for students interested in Maven’s 2027 Trader Internship and Graduate programs. Attendees will learn about market making, trading careers, required skills and mindset, emerging talent opportunities, and experiences from women on the Trading team. The session also provides an opportunity to connect with Maven representatives and ask questions about careers in financial markets.

Graduate quantitative research role designing and improving automated trading algorithms, developing option pricing and volatility models, and analyzing trading data to identify opportunities. The programme includes structured training in quantitative research, financial markets, platforms, and real-world data analysis. Candidates should have a quantitative degree background, programming experience, interest in trading strategies and financial markets, and willingness to use emerging AI technologies.

Monitor firm-wide market and operational risk in real time across proprietary trading and options market-making activities. Communicate risk issues with the CRO, trading, support, and global Risk teams. Develop risk metrics, reporting frameworks, controls, and processes; collaborate with technologists on algorithmic trading controls; and contribute to risk mitigation and global risk projects across multiple asset classes.

Participate in a structured software development internship with two weeks of technical training followed by a seven-week project embedded in Maven engineering teams. Collaborate with developers and traders on real-world technology problems, learn C++, C#, Python, TypeScript, React, and emerging AI technologies, use in-house tools, and receive ongoing mentoring and feedback.

Develop and maintain ultra-low-latency C++ trading software for options market making. Responsibilities include building exchange connectivity for new markets, optimizing order execution algorithms, developing automated pricing systems, tuning performance, and supporting trading infrastructure. The role involves full lifecycle software development, automated testing, peer code review, and close collaboration with traders, quantitative researchers, FPGA engineers, data analytics, and UI developers.

This is an interest registration opportunity for prospective candidates at Maven. Applicants will be notified when positions formally open.

The role involves researching, developing, and implementing systematic trading strategies while managing portfolio risk. Candidates should have a quantitative background and strong coding skills.

The Trading Systems Engineer ensures optimal performance and stability of trading platforms, monitors incidents, and implements automation tools for trading processes.

Build, maintain, and support production trading and research platforms for mid-frequency systematic equities. Develop data ingestion pipelines, orchestration, ML training/inference infrastructure, monitoring and alerting, CI/CD and containerized deployments. Provide production support for live trading systems and integrate AI tooling, prioritizing quick, pragmatic solutions under time pressure.