Quantitative Research / QIS Product Development, VP

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$300,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $225k
$120k most similar roles pay here $319k

This role pays more than 80% of similar roles. Most pay $162,000–$214,500 — the shaded band above. At the midpoint, this role pays about $225k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · Quantitative Research / QIS Product Development, VP

As a Vice President in the STS Product Development team within Equities & FICC at a leading financial institution, you will contribute to the research and development of quantitative investment strategies for institutional clients and indirect retail distribution channels. Your day-to-day responsibilities include designing new trading strategy ideas using derivatives, alternative data, and machine learning techniques, collaborating with sales teams to create customized solutions, and implementing these strategies in coordination with trading and legal teams. You will also prepare marketing materials and engage with clients to demonstrate capabilities and originate new business opportunities. The role requires advanced expertise in quantitative fields such as applied mathematics or computer science, hands-on experience with alternative data and machine learning methods, proficiency in Python, and a strong understanding of market behavior. Additionally, familiarity with equity volatility products and the ability to work across various functions is preferred.

What you'll do

  • Research and develop systematic trading strategies using derivatives, alternative data, and machine learning.
  • Design customized investment solutions for institutional clients and retail distribution channels.
  • Implement trading strategies in coordination with legal teams to ensure compliance and efficiency.
  • Prepare marketing materials and engage with sales teams to demonstrate capabilities and generate new business.
  • Document and maintain systematic strategies and indices for investor use.
  • Build tools to support research workflows, enhance platform efficiency, and improve business metrics.

What we're looking for

  • Advanced degree in a quantitative field such as applied mathematics or computer science.
  • Minimum 3 years of experience in quantitative investments, structuring, or trading.
  • Hands-on experience with alternative data and machine learning techniques for investment problems.
  • Proficiency in Python; additional language proficiency (e.g., C++, R) is beneficial.
  • Strong understanding of market structure and behavior to translate research into commercial impact.
  • Experience developing strategies that have been commercialized and traded successfully.
  • Ability to collaborate across sales, trading, quantitative strategists, and legal teams.

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