Crédit Agricole CIB vacancy search engine

Quantitative Research Intern: Emerging Markets

Vacancy details

General information


About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)

Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022).
8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world.
Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade.
The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients.

For more information, please visit


By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities.   



Update date


Job description

Business type

Types of Jobs - Corporate & Investment Banking

Job title

Quantitative Research Intern: Emerging Markets

Contract type


Term (in months)


Management position


Job summary

Company: Credit Agricole CIB

Position: Global Markets Division - Quantitative Research Intern in Emerging Markets and Portfolio Management

Start Date: June 10, 2024


About Us:

Crédit Agricole CIB is the Corporate & Investment Banking arm of the Crédit Agricole group. Crédit Agricole CIB offers its clients a large range of products and services in capital markets, investment banking, structured finance and corporate banking. The Bank provides support to clients in large international markets through its network, with a presence in major countries such as Europe, America, Asia Pacific and the Middle East.


About the Role: 

Our internship program is designed to immerse participants in the day-to-day activities of the Global Markets Division. In an effort to provide the participants with a well-rounded experience, the curriculum will include, but is not limited to, the following:


  • Maintenance and assistance with ongoing development of the EM FX investment portfolio research product, including model enhancement through rules-based, machine learning and AI techniques, back testing, and other improvements to the investment process under the guidance of the Head of EM Research and Strategy, Americas at Credit Agricole CIB and Global Research Strategic Data Management team


  • Analyze EM FX and fixed income markets, central bank policies, political and geopolitical developments and trading strategies, with an additional in-depth focus on Latin America, under the guidance of the Head of EM Research and Strategy, Americas at Credit Agricole CIB


  • Contribute to the expansion of the research data set on EM FX and interest rate related products and to the optimization of data processing


  • Contribute to the development of internal tools (Market intelligence dashboards) leveraging CA-CIB research database


  • Develop strong relationship with sales and trading within the bank to market research internally and build the research franchise.


  • Attend speaker series, networking and social events


  • Role will be based in New York

Position location

Geographical area

America, United States Of America



Candidate criteria

Academic qualification / Speciality

  • MSc/MBA/PhD/Doctorate or equivalent
  • Graduate degree in quantitative finance, finance, data science, economics, mathematics, or related field
  • Authorization for employment in the U.S. without sponsorship
  • Available to participate in a 6-month internship program starting in June 2024 and openness to potential employment opportunity thereafter.

Level of minimal experience

0-2 years


  • Enthusiasm for financial markets
  • Exceptional analytical, quantitative, interpersonal, written and verbal communication skills
  • Advanced knowledge of Excel and Power BI
  • Programming skills: Python