Business Development, U.S. Equities (Analytics)

OneChronos is a technology company of diverse technologists, scientists, and market structure enthusiasts innovating at the intersection of capital markets, mechanism design, and operations research. We strive to grow global GDP by designing and operating matching markets leveraging advances in auction theory and artificial intelligence.

We’re expanding our Business Development team in New York City to support analytics and research for OneChronos’ U.S. Equities, with potential to expand into new markets over time. This position sits at the intersection of data analysis, market microstructure research, and client-facing communication. You will work across business lines to analyze trading data, develop statistical frameworks, and produce research that directly informs both product development and commercial strategy.

This is a high-impact, hands-on role in a fast-growing startup environment. Your work will shape how OneChronos measures execution quality, evaluates market dynamics, and communicates its value proposition to institutional clients. You will collaborate closely with Product, Engineering, Sales, and Analytics teams, translating rigorous analysis into insights that drive real-world decisions.

What You’ll Do

• Analyze large-scale trading and market microstructure datasets to identify patterns, measure execution quality, and support internal and external research initiatives.
• Design and implement statistical tests and analytical frameworks to evaluate trading performance, execution outcomes, and market behavior.
• Produce clear, rigorous written analysis for internal research reports, product documentation, and client-facing materials.
• Collaborate with engineering and product teams to translate research findings into product improvements, metrics, and new features.
• Support business development efforts by providing analytical context, data-driven narratives, and empirical evidence that reinforce OneChronos’ market positioning.
• Analyze engagement and demand signals to identify patterns in what resonates with the market, and surface insights to Sales, Product, and Analytics teams.
• Help shape and refine the firm’s demand-generation playbooks, processes, and internal operating rhythms as the organization scales.

Who You Are

• Your academic background reflects rigorous quantitative training (Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, physics, computer science, economics, or a closely related discipline).
• Strong foundation in probability, statistics, and hypothesis testing, with comfort reasoning about statistical significance, uncertainty, and effect sizes.
• Excellent proficiency in Python and SQL, with experience working directly with large, messy datasets.
• Demonstrated ability to extract meaningful conclusions from complex data and clearly articulate what the data shows–and what it does not.
• Outstanding written and verbal communication skills, with experience presenting analytical findings to both technical and non-technical audiences.
• Intellectual curiosity about financial markets, electronic trading, and market structure; prior exposure to trading or market microstructure is a plus but not required.