Quantitative AI & Data Science Internship

Tradeweb; New York (NY); On-site; USD 62,000 - 103,000; Full time

Job summary

Tradeweb's internship program invites students in Computer Science, Data Science, AI, or related fields to gain hands-on experience with our technologists and business experts. You'll work on real projects using Tradeweb data and tools, guided by a mentor, and develop analytical solutions that address trading and market challenges.

Throughout the program you'll learn by doing, with project-based work, exposure to AI tools, and opportunities to present findings to technical and business

Qualifications

• Currently pursuing a Bachelor's or Master's degree in a technical or analytical discipline.
• Strong programming skills, preferably in Python, with data analysis experience.
• Familiarity with SQL and working with structured or unstructured data.
• Foundational knowledge of statistics, ML, data science, or AI concepts.
• Exposure to ML frameworks or AI tools is a plus.
• Interest in applying AI and data science to real-world business problems.
• Strong analytical, communication, and collaboration skills.

Responsibilities

• Collaborate with technologists and business experts on real projects using Tradeweb data.
• Develop and evaluate analytical solutions addressing trading or market challenges.
• Present findings to both technical and business stakeholders.

Skills

Python

SQL

Data analysis

Machine learning basics

Statistics

Communication skills

Team collaboration

Problem solving

Education

Bachelor's or Master's in CS/DS/AI/ML/Stats/Engineering/Quantitative Finance or related field

Job description

Tradeweb's internship program invites students in Computer Science, Data Science, AI, or related fields to gain hands-on experience with our technologists and business experts. You'll work on real projects using Tradeweb data and tools, guided by a mentor, and develop analytical solutions that address trading and market challenges.

Throughout the program you'll learn by doing, with project-based work, exposure to AI tools, and opportunities to present findings to technical and business