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Internship

Internship - Quantitative Advisor

🚀 Off-cycle Internship

New York

AI generated summary

  • You need a degree in a quantitative field, strong programming skills in Python, a passion for problem solving, and knowledge of equity and interest rate derivatives modelling for this internship.
  • You will collaborate closely with Traders, Structurers & Salespeople to enhance pricing of derivatives, support Python pricing library, and work with various departments for quantitative projects.

Off-cycle Internship

Consulting, Banking & FinanceNew York

Description

  • Société Générale Global Markets Division (MARK) provides hard-working, talented graduates with the opportunity to develop exceptional careers within the finance industry. The Off-Cycle QR Program provides in-depth exposure to SG Fixed Income and Equity trading floors as well as to our Prime Brokerage business and other banking activities. During this 6-month internship, you will be part of the Exotics Applied Research and Development (ARD) team in our New York office. You will be working in a small and prestigious team of Exotic quants on providing quantitative solutions to Traders, Structurers & Salespeople of the Fixed Income and Equity Exotics desks. You will also support and improve the existing tools and pricing methodologies.

Requirements

  • A Bachelor, Master or PhD degree in Mathematics, Financial Engineering, Operations Research, or similar quantitative field
  • Strong skills in programming in Python, knowledge of C# is a plus
  • Passion for problem solving
  • Authenticity, innovative thinking, and enthusiasm
  • Knowledge of equity and interest rate derivatives modelling is a strong plus

Education requirements

Currently Studying
Bachelors
Masters
PhD

Area of Responsibilities

Consulting
Banking & Finance

Responsibilities

  • Quantitative Research (80%): collaborate closely with Traders, Structurers & Salespeople to improve the pricing of fixed income and equity derivatives by providing quantitative tools, algorithms and trading studies
  • Desk Quant Support (15%): provide support for our Python pricing library
  • Others (5%): collaborate with Quants, Risk, IT, COO and other critical departments to ensure the delivery of quantitative projects

Details

Work type

Full time

Work mode

office

Location

New York