Quantitative Engineering Associate

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$113,000–$189,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $151k
$103k most similar roles pay here $203k

This role pays less than 52% of similar roles. Most pay $133,281–$193,125 — the shaded band above. At the midpoint, this role pays about $151k versus about $163k 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 Engineering Associate

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As an Associate in the Quantitative Engineering team within the Engineering Division at Goldman Sachs in New York, you will develop and implement scenarios using economic and financial variables for various business units. Your day-to-day responsibilities include refining these scenarios through statistical analysis and programming, as well as enhancing quantitative risk analytics tools to support investment processes. The role requires expertise in C++, Java, or Python, alongside experience with financial mathematics principles such as stochastic calculus and no-arbitrage pricing theory. Additionally, you will leverage advanced econometric techniques like Bayesian analysis and machine learning algorithms for model development and perform rigorous data management tasks to ensure robust risk oversight. This position demands a strong background in Computer Science, Financial Engineering, Applied Mathematics, Data Science, or Operations Research, with relevant quantitative experience tailored to the financial industry's scale and complexity.

Skills

Python Java C++ Bayesian analysis Time series analysis Machine learning algorithms Stochastic calculus No-arbitrage pricing theory Partial differential equations Multivariable calculus Linear algebra Numerical methods Optimization Probability Random processes Risk management Scenario-based analysis Quantitative risk analytics Factor models Data management Data analysis tools

What you'll do

  • Develop and document economic and financial scenarios for various business units.
  • Refine scenarios using knowledge in financial markets, economics, and current events.
  • Implement probability and pricing models utilizing advanced mathematical principles.
  • Conduct quantitative analysis and model development with econometric techniques.
  • Perform risk management and scenario-based analysis to support decision-making.
  • Develop data management tools for rigorous and scalable risk oversight.

What we're looking for

  • Master’s degree in a quantitative field and 1 year of experience or Bachelor’s degree and 2 years of experience.
  • Experience with C++, Java, or Python programming languages.
  • Development of probability and pricing models using financial mathematics principles.
  • Quantitative analysis and model development utilizing advanced econometric techniques.
  • Risk management and scenario-based analysis expertise.
  • Development of quantitative risk analytics including factor models.
  • Creation of data management tools for rigorous and scalable risk oversight.

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