Quantitative Structured Credit Strats - Pricing & Risk

Goldman Sachs

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+

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Job summary

Goldman Sachs in London seeks a Structured Credit Strats specialist within the Global Markets Division to model and price structured transactions and build risk management tools. Focus on SFD: TRS, repos, and other derivatives across bonds, loans, ABS, private credit, and equities.

Work on end-to-end data-driven models, improve pricing, analyze transaction risks, and collaborate with traders and quants in a fast-paced multi-asset environment.

Qualifications

  • Excellent academic record in a quantitative field (Math/Physics/Engineering/CS).
  • Strong math and quantitative skills.
  • Experience in object‑oriented programming (C++, Java or Python).
  • Knowledge of stochastic calculus and derivatives pricing, or ML background.
  • Knowledge of credit markets and products, interest rates, FX or risk management is preferred.

Responsibilities

  • Improve existing pricing models and create new ones for structured products.
  • Understand transaction risks and analyze drivers of profits and losses.
  • Provide analysis for new transactions.
  • Improve existing and create new models for pricing and analysis of derivatives.
  • Identify, curate, and integrate new structured and unstructured datasets into models.
  • Build end-to-end solutions from data collection to automated actions.

Skills

Quantitative skills
Coding skills
Commercial mindset
Object-oriented programming
C++/Java/Python
Stochastic calculus
Derivatives pricing
Credit markets knowledge
Communication skills
Team collaboration

Education

Bachelor's degree in quantitative field

Job description

Goldman Sachs in London seeks a Structured Credit Strats specialist within the Global Markets Division to model and price structured transactions and build risk management tools. Focus on SFD: TRS, repos, and other derivatives across bonds, loans, ABS, private credit, and equities.

Work on end-to-end data-driven models, improve pricing, analyze transaction risks, and collaborate with traders and quants in a fast-paced multi-asset environment.

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