Quantitative Developer

Alexander Chapman; Greenwich (CT); On-site; USD 70,000 - 110,000; Full time

Job summary

Alexander Chapman in Greenwich, CT is seeking a Junior Quant Developer to join our growing team on-site. This is an excellent entry-point for someone who likes building things, working with data, and breaking into quantitative finance. You'll build and maintain data pipelines for the research group, structure large datasets, and help expand the equity universe from the U.S.

markets to international ones. You will work closely with experienced researchers and developers to grow into the

Qualifications

• New graduates with internships or up to 2 years of experience.
• Outstanding academic background with strong GPA and return offers from internships are a big plus.
• Genuine interest in quantitative development and data engineering.

Responsibilities

• Build and maintain data pipelines for the research team.
• Structure and prepare large datasets for quantitative research.
• Expand the firm's equity universe starting with the U.S. market and expanding internationally.
• Work closely with experienced quantitative researchers and developers.

Skills

Data pipelines

Quantitative development

Data handling

Education

Top universities GPA

Job description

Junior Quant Developer | Greenwich, CT (On-site)

I'm working with a leading quantitative investment firm that's looking to hire a Junior Quant Developer to join their growing team in Greenwich, CT.

This is a fantastic opportunity for someone early in their career who enjoys building things, working with data, and wants to break into quantitative finance.

What you'll be doing:

• Build and maintain data pipelines used by the research team.
• Structure and prepare large datasets for quantitative research.
• Help expand the firm's equity universe, starting with the U.S. market and eventually supporting international markets.
• Work closely with experienced quantitative researchers and developers.

They're looking for:

• New graduates with outstanding internships or candidates with up to 2 years of experience.
• Excellent academic background (top universities, strong GPA, return offers from internships are a big plus).
• Genuine interest in quantitative development and data engineering.

The focus is on building the infrastructure and data that powers research. It's a great fit for someone who enjoys hands-on development and wants to grow into the quantitative investing space over time.