Quantitative Analytics Developer Internship

Who are we?

At Tradeweb, we’re constantly moving forward. We were the first to electronify the bond market, and we’ve been innovating ever since. Come join our team and find out what it means to lead the way into the future of electronic trading. Collaborate with our creative thinkers who have the vision and the drive, and learn how you too can make an impact of your own.

What’s in it for you?

As an intern, you won’t just be along for the ride. You’ll work with our technologists and business experts to gain practical, hands-on experience that you can actually use. Our program combines traditional classroom-settings with project-based work where you can get involved with the products and services the firm is working on. Along the way, you’ll have guidance from people at all levels of the organization so you can start to build a long-lasting professional network and build relationships with the intern class through interactive outings and projects.

Who will you work for?

This internship will be on the Calc team. We are part of the cornerstone of trading system which responsible for the major complex mathematical modeling behind a wide range of asset classes (Money Market, Rates, Credit, ETF, FX, Equity and Derivatives). We maintain the firm’s core calculation libraries and calculation servers that power the firms trading platforms and market data offerings by providing pricing, valuation, and risk measures of traded instruments or trading positions. We also power the interest rate curve published on platform using curve fitting for interest rate derivatives like interest rate swaps with a variety of bootstrap and interpolation methods. This is a high performance and mission critical fixed income analytics libraries. We are also fully integrated into the entire trading cycle and provide frontline support for analytics related production issues and inquiries daily.

What do you need to succeed?

• Excellent foundations on mathematic, quantitative and analytical skills. 
• Passion for C++ development.
• Strong understanding of Object-Oriented Programming (OOP) and modern C++ and Python techniques.
• Good communication skills and the ability to work both independently and collaboratively.
• Ability to communicate with technical and non-technical audiences.
• Interested in learning real life financial market and technology. 
• Basic knowledge about curve fitting and interest rate derivatives will be preferred. 

About Tradeweb Markets:

Tradeweb is a global leader in electronic trading for rates, credit, equities, and money markets. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.2 trillion over the past four fiscal quarters, topping $2.5 trillion in ADV for the first quarter of 2025.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2024 was our 25th consecutive year of record revenues.

Tradeweb is a great place to work, recognized in 2024 by Forbes as one of America’s Best Companies (2024) and by U.S. News & World Report as one of the Best Financial Services Companies to Work For.

Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.

Mission: Move first and never stop. Collaborate with clients to create and build solutions that drive efficiency, connectivity, and transparency in electronic trading.

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

The current pay range for this role if performed in the city of New York is currently $35-$75 hourly based on a regular, full-time schedule.  The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, geographic location, and internal guidelines.