Data Scientist

Join to apply for the Data Scientist role at Trillium Trading

Trillium is a leading proprietary trading firm active in US Equities, US Options, Canadian Equities, and OTC Equities. With trading technology built, tested, and optimized in-house, our engineers and technologists collaborate with our traders to deliver tools and functionality designed to support their needs. Our passion for the markets and our drive to succeed have propelled our track record of growth and profitability for over 20 years.

At Trillium, we are a team of problem solvers and independent thinkers dedicated to seizing market opportunities.

We are headquartered in New York City, with additional trading floors in Chicago and Miami.

As a Data Scientist at Trillium, you will be the primary analytics driver responsible for developing dashboards, reports, models, and exploratory studies that surface actionable insights for leadership, traders, and cross-functional teams such as Finance, HR, and Operations. You’ll bring a researcher’s mindset—framing hypotheses, testing ideas, and applying statistical rigor—to uncover signals that shape strategy and performance.

To date, Trillium’s analytics efforts have been lean but highly effective, delivering strong value through targeted reporting and analysis. As our business grows and our data becomes more interconnected across trading, risk, HR, and finance, we are expanding the scope and sophistication of our analytics efforts. This role sits at the center of that growth, offering the opportunity not just to produce impactful insights now, but to help define what analytics at Trillium looks like in the future.

You’ll collaborate closely with a data engineering partner, who ensures pipelines and datasets are automated, clean, and reliable, while you focus on analysis, modeling, and insight generation. Reporting to our Managing Director of Trading, you’ll work cross-functionally with technologists, traders, and business stakeholders. This role is ideal for someone curious, collaborative, and eager to turn data into decisions in a high-impact environment.

For the right candidate, this position offers a path to increased responsibility and leadership within a growing analytics function.

• Design and maintain dashboards and reports that deliver clarity on trading, risk, HR, and financial metrics
• Lead deep-dive analyses and exploratory projects that answer strategic business questions (e.g., ROI of traders, predictors of long-term success, etc.)
• Synthesize complex datasets into actionable insights for traders, business leaders, and cross-functional stakeholders
• Prioritize studies and insights directly with leadership to ensure alignment with firm strategy
• Collaborate with a data engineering partner to ensure fast, clean, and reliable access to datasets
• Partner with our technology and business teams to scope requirements, access new data, and expand reporting capabilities
• Continuously refine analytics output—bringing automation, clarity, and forward-looking analysis into daily operations

• Master’s degree or higher in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related field
• 2-5 years of experience in data analysis, business intelligence, or data science, preferably in finance, trading, or another fast-paced business setting
• Proficiency with SQL (e.g., Postgre
  
  SQL, MySQL) for querying and manipulating data
• Strong skills in Python and/or R for data analysis, statistical modeling, and visualization
• Experience with dashboarding/BI tools such as Tableau, Power BI, or RStudio/Posit, and project management tools such as Jira
• Understanding of metrics development, hypothesis testing, and statistical inference
• Strong communication skills—capable of translating complex data into clear business insights for all stakeholders
• Curiosity and intellectual independence, with the ability to thrive in a lean, flat, and high-impact team structure

This is a hybrid role based in NYC. The reasonably estimated salary for this role is $100,000 - $135,000 + additional bonus if applicable. Actual compensation is based on a number of factors including…