Summer Quant Research Internship: Execution & AI Tools

brevanhoward

New York (NY)

On-site

USD 140,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Housing stipend
Internship completion bonus

Job summary

Brevan Howard's Summer Internship Program invites penultimate-year undergrads, or first-year master's/PhD students, to apply quantitative and ML skills to real-world problems, coding production-quality analysis and tools in a fast-paced macro trading setting.

You will work with senior professionals on execution research projects, starting with a one-week training covering financial markets, Python, Excel, and AI tools.

Qualifications

  • Penultimate year undergraduate or first-year master/PhD student, finalizing before July 2028.
  • Strong math and quantitative skills with Excel, VBA, and R.
  • Programming in Python; experience with Linux, SQL, and KDB/Q preferred.
  • Interest in financial markets, trading, and financial products.
  • Ability to work independently and in a team.
  • Entrepreneurial mindset with strong communication in English.

Responsibilities

  • Assist senior professionals on a range of projects with immediate impact.
  • Contribute to execution research design, development, and performance reporting.
  • Apply advanced statistics to large datasets and build execution frameworks.
  • Engage in talks, mentorship, and networking events during the internship.

Skills

Mathematics
Quantitative analysis
Python programming
Excel VBA R
Linux
SQL

Education

Penultimate year student (Undergrad/1st-year Masters/PhD)

Tools

KDB/Q
Linux
SQL

Job description

Brevan Howard's Summer Internship Program invites penultimate-year undergrads, or first-year master's/PhD students, to apply quantitative and ML skills to real-world problems, coding production-quality analysis and tools in a fast-paced macro trading setting.

You will work with senior professionals on execution research projects, starting with a one-week training covering financial markets, Python, Excel, and AI tools.

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