US Fixed Income Intern: Macro Research & Tech

Bank of China USA

New York (NY)

On-site

USD 22,000 - 31,000

Full time

14 days+

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Job summary

Bank of China USA is seeking an intern with a math/financial or engineering/programming background to support the US Fixed Income team. You will help with market research, data analysis and daily reports under supervision.

The role offers exposure to macro policy, ESG projects and collaboration across departments, with opportunities to learn risk and valuation methods in a global bank environment. You will work closely with analysts and gain hands-on experience with MTM processes, as well as

Qualifications

  • Bachelor’s degree or equivalent; Junior/Senior acceptable.
  • Programming languages: SQL, R, Python, Java, C++.
  • Background in economics, math, statistics, or financial engineering preferred.
  • Basic research knowledge; US FICC exposure preferred.
  • Basic writing and macro knowledge required.
  • Mandarin-English bilingual is preferred.
  • Strong interpersonal and communication skills.

Responsibilities

  • Prepare US Fixed Income MTM reports daily.
  • Prepare US Fixed Income daily relative value reports.
  • Daily operation contact with middle and back offices.
  • Support CIBM bond investment and related front/middle/back office work.
  • Assist mortgage valuation and prepayment analysis.
  • Conduct macro and monetary policy research.
  • Compile monthly ESG/CRA reports.

Skills

Mandarin/English bilingual

Education

Bachelor's degree or equivalence

Tools

SQL
R
Python
Java
C++

Job description

Bank of China USA is seeking an intern with a math/financial or engineering/programming background to support the US Fixed Income team. You will help with market research, data analysis and daily reports under supervision.

The role offers exposure to macro policy, ESG projects and collaboration across departments, with opportunities to learn risk and valuation methods in a global bank environment. You will work closely with analysts and gain hands-on experience with MTM processes, as well as

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