Vice President, Credit Desk Strategist

Goldman Sachs

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$300,000 / yr
Posted
40 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $225k
$132k $318k
below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $150,375–$220,900 — the blue band above. At the midpoint, this role pays about $225k versus about $186k 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 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

TL;DR · Vice President, Credit Desk Strategist

The GBM - Public, Credit Desk Strategist, Vice President will join the credit desk team to support Investment Grade, High Yield, Munis, Distressed Credit, Macro Credit, Financing, and Systematic Market Making trading desks. This role involves building pricing, risk, and capital models for bonds and credit derivatives while developing large-scale analytics, quoting, and real-time risk systems. The strategist will research, design, backtest, and deploy algo trading signals and strategies to navigate changing market conditions and contribute to structured credit transactions. Key responsibilities include generating data-driven prediction models for liquidity and quoting. Candidates must possess an MS or PhD in a quantitative field like Applied Mathematics, Physics, Engineering, or Computer Science, along with experience coding in an object-oriented programming language to solve complex financial problems.

What you'll do

  • Build pricing, risk, and capital models for bonds and credit derivatives.
  • Research, design, backtest, and deploy algorithmic trading signals and strategies.
  • Develop large-scale analytics, quoting, and real-time risk systems for credit products.
  • Build data-driven prediction models for quoting and liquidity across various credit products.
  • Provide quantitative strategies to navigate market conditions and support structured credit transactions.
  • Generate analytics and prediction models for capital and liquidity management.

What we're looking for

  • MS or PhD in a quantitative field such as Applied Mathematics, Physics, Engineering, or Computer Science.
  • Meaningful experience in coding in an object-oriented programming language.
  • Relevant experience in the financial industry for candidates entering at the VP level.
  • Excellent written and verbal communication skills.
  • Strong quantitative and technical problem-solving skills.
  • Ability to work in a dynamic, fast-paced environment and deliver accurate results quickly.
  • Ability to solve problems and explain underlying ideas.

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