Equities Structuring Analyst — AI-Driven Product Innovation

JPMorgan Chase & Co.

City of Rochester (NY)

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. in the United States is seeking an analyst to join the Americas Equities structuring team. You will assist in ideation, pricing, and origination of new payoffs and products for hedge fund, institutional, and distributor clients.

You will liaise with Sales, Trading, and Quantitative Research to drive product development. Ideal candidates have a quantitative finance background, hands-on Python experience, and a keen interest in financial markets and AI-enabled workflows.

Qualifications

  • Bachelor's degree in a quantitative or finance-related discipline or equivalent experience.
  • Hands-on Python experience with data analysis.
  • Demonstrated interest in financial markets.
  • Interest in using AI tools to improve productivity.
  • Strong teamwork and interpersonal skills.
  • Excellent problem-solving and analytical abilities.
  • Ability to work in a fast-paced environment.
  • Relentless attention to detail.

Responsibilities

  • Collaborate with Sales, Trading, and Quantitative Research teams to develop innovative financial products.
  • Engage in the pricing and origination of new payoffs and products for diverse clients.
  • Liaise with internal teams to ensure seamless product development and delivery.
  • Analyze market trends to identify opportunities for new product offerings.
  • Support the team in executing strategic initiatives and projects.

Skills

Python
Financial markets
Analytical skills
Teamwork
Attention to detail
Fast-paced environment

Education

Bachelor's degree in quantitative/finance

Job description

JPMorgan Chase & Co. in the United States is seeking an analyst to join the Americas Equities structuring team. You will assist in ideation, pricing, and origination of new payoffs and products for hedge fund, institutional, and distributor clients.

You will liaise with Sales, Trading, and Quantitative Research to drive product development. Ideal candidates have a quantitative finance background, hands-on Python experience, and a keen interest in financial markets and AI-enabled workflows.

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