Senior Data Scientist - Bayesian Modeling for Quantitative Trading

Are you a Data Scientist with strong Bayesian Modeling experience interested in joining one of the world’s most prestigious quantitative trading firms?

My top-tier client is growing their new data science team and they are looking for a Senior Data Scientist.

If you are excited about a role at a top quantitative trading firm where you will have ownership over new data science projects in a supportive environment, then this is the opportunity for you.

What's the Job?

My client is hiring a Data Scientist to join a small, high-impact client-facing data science team in New York.

The firm has world-class capabilities in large-scale, frequentist statistical modeling. What's missing is the Bayesian side: extracting nuanced insights from smaller, looser, messier datasets that traditional big-data approaches leave untouched. That's where you come in.

You'll build models and tools that turn these underutilized data sources into differentiated views for the firm's clients, particularly discretionary investors who need more than what large-dataset analytics can offer. Think marrying two small, overlapping datasets to uncover signals no one else has found.

You'll report directly to the team lead, work alongside the firm's senior market strategists, and engage with clients, a rare seat that combines deep technical work with real visibility. This is not a quant research or alpha-generation role; it's a highly technical, client-oriented position using market and alternative data to drive the firm's client offering.

Requirements

• 3–7 years of professional experience as a data scientist or in a similar quantitative modeling role.
• Advanced degree strongly preferred — ideally a PhD in Statistics, Computer Science, Math, Operations Research, Computational Social Science, or a related field.
• Hands-on experience with Bayesian statistics and modeling in a professional setting — this is the core of the role.
• Strong programming skills in Python or R.
• Experience working with consumer, marketing, or otherwise messy real-world data is a plus — backgrounds in tech are especially welcome (no finance experience required).
• Grit, intellectual curiosity, and comfort building from scratch on a small team.

Compensation

• $500,000 - $800,000 Total Compensation depending on level of experience.
• Extensive Medical, Dental and Vision Insurance

Location

This role requires you to work out of their New York City office five days a week. They do cover relocation expenses if you are looking to relocate.

Interview Process

The interview process will involve two technical rounds followed by an onsite. They have streamlined the process to attract the best talent to join and are looking for a candidate to start as soon as possible.

To learn more, apply here today or contact me directly at: [email protected].