Quantitative Analyst — Real-Time Markets & Data

RTK Tickets; Boston (MA); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary with bonuses

Health and Dental insurance

401(k) retirement plan with company匹配

Job summary

RTK Tickets in Boston, MA is seeking a Quantitative Analyst to turn data into decisions across live-event trading and pricing. You will analyze market trends, build predictive models, and support internal tools that drive how we buy and sell tickets.

You’ll collaborate with risk and engineering teams, test models in real time, and communicate insights to both technical and non-technical colleagues. A strong math/CS background and hands-on coding are essential.

Qualifications

• Bachelor’s degree in a quantitative field and hands-on coding experience.
• 1–3 years in quantitative, data, or analytical roles.
• Strong math foundation and ability to reason under uncertainty.
• Proficient in Python, SQL, and Excel; knowledge of AI/automation is a plus.
• Excellent communication and collaboration skills.

Responsibilities

• Analyze market trends and price patterns using data-driven models.
• Build predictive models and support internal tooling for trading decisions.
• Tune risk and pricing logic and test system enhancements with engineers.
• Communicate insights clearly to technical and non-technical teammates.
• Monitor live markets and maintain documentation of analyses.

Skills

Python

SQL

Excel

Analytical mindset

Communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Applied Mathematics

Bachelor's degree in Physics

Bachelor's degree in Finance

Bachelor's degree in Economics

Bachelor's degree in Statistics

Tools

Golang

R

Job description

RTK Tickets in Boston, MA is seeking a Quantitative Analyst to turn data into decisions across live-event trading and pricing. You will analyze market trends, build predictive models, and support internal tools that drive how we buy and sell tickets.

You’ll collaborate with risk and engineering teams, test models in real time, and communicate insights to both technical and non-technical colleagues. A strong math/CS background and hands-on coding are essential.