Data Scientist

The Role 
Trillium has traded its own capital for over twenty years. Over that time we’ve built an unusually complete dataset — every trade and every trader’s full history, from first day onward. This role exists to put that data to work: to uncover what it can tell us about trading, risk, and the business, and to build the data science function that will keep doing so. 

As our first dedicated Data Scientist, you’ll own the function from the start: building the models and reporting that answer the firm’s most important questions, and putting results in front of leadership. The first priorities are already defined; over time, we expect you to become a partner in setting new priorities and to open up lines of inquiry we haven’t thought of yet. The problems are concrete. Which early indicators separate traders who go on to sustained success from those who don’t. How to measure and manage risk as we expand into options, futures, and prediction markets. How to forecast headcount and seat demand across three offices. How to make a growing body of unstructured text useful.

You’ll report to our Managing Director of Trading and work directly with traders, technologists, and business leadership. A data engineering partner keeps pipelines and datasets clean and reliable so your time goes to analysis and modeling. There is no analytics organization yet; you’ll help define what it becomes. We’re looking for someone who is rigorous, self-directed, and comfortable being the only expert in the room — and who uses AI tooling as a normal part of how analytical work gets done. 

Responsibilities

• Build and maintain the dashboards and reporting that leadership, traders, and business teams use to track trading performance, risk, headcount, and firm-level metrics 

• Lead deep-dive analyses and predictive modeling on the firm’s strategic questions, owning each from framing through delivery 

• Apply NLP to unstructured text across the business — internal communications, survey and feedback data, and external text sources — building classifiers, extracting themes, and summarizing at scale 

• Set research priorities directly with leadership and keep them aligned with firm strategy 

• Work with your data engineering partner to make new datasets fast, clean, and reliable, and with technology and business teams to scope requirements and expand what the firm can measure 

• Bring automation and forward-looking analysis into the firm’s daily operating rhythm 

• Make AI and LLM tooling a standard part of the workflow — exploratory analysis, code and query generation, synthesis of unstructured data — and help set how the firm uses these tools responsibly 

Requirements

• Strong analytical judgment: able to frame an ambiguous problem, choose an appropriate method, validate the result, and state clearly what a conclusion does and does not support 

• Master’s degree or higher in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related field, or equivalent demonstrated experience 

• 4+ years in data science, analytics, or business intelligence, including independent ownership of modeling work end to end 

• Strong Python (required) for analysis, statistical modeling, and visualization 

• Proficiency with SQL (e.g., PostgreSQL, MySQL) for querying and manipulating data 

• Hands-on experience (required) applying NLP and LLM-based methods to unstructured text at scale, including evaluating output quality and judging which approach fits a given problem 

• Experience building dashboards in tools such as Tableau, Power BI, Streamlit, or Shiny 

• Strong command of metrics design, hypothesis testing, statistical inference, and predictive modeling, with a record of turning models into outputs people act on 

• Clear communicator, able to translate complex analysis into plain business terms for traders and executives 

• Self-sufficient and curious. As Trillium’s sole data scientist, you’ll drive your own research and resolve hard problems without an internal expert to lean on. Rigorous but unconventional backgrounds are welcome 

Location: This is a hybrid role based in NYC 

Compensation and Perks 

• The reasonably estimated salary for this role is $150,000 - $225,000 + additional bonus if applicable. Actual compensation is based on a number of factors including but not limited to the candidate’s skills, qualifications, and experience. 

• Comprehensive benefits including PTO, medical and dental insurance, 401(k) matching, parental leave, and pre-tax commuter benefits 

• Complimentary breakfast on Tuesdays, lunch on Wednesdays and Thursdays 

• A collaborative culture built on mutual respect and a shared commitment to excellence. Many of our team members have spent their entire careers here, drawn by an environment that values long-term growth and gives people room to build