Liquidity Quant Strat Engineer – Associate

Goldman Sachs Bank AG

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+

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Job summary

Goldman Sachs in London is seeking an Associate in Corporate Treasury, Liquidity Quantitative Engineering / Strat. You will develop quantitative models and risk analytics to quantify liquidity risk and optimize funding, collaborating with key business partners.

The role requires strong mathematical and programming skills, experience building scalable systems, and clear communication to global audiences. You will work on models, infrastructure, and risk management practices that adapt to changing

Qualifications

  • Postgraduate or Bachelor's degree in Mathematics, Physics, Engineering, or a related technical field.
  • 3+ years software development experience with data structures, algorithms, and design principles.
  • Strong analytical, math, statistics and programming skills.
  • Excellent communication for technical and business audiences across regions.
  • Proficiency in at least one language such as C, C++, Java or Python.
  • Familiarity with financial markets and risk management is a plus.

Responsibilities

  • Develop risk models and risk sensitivity analysis using advanced quantitative methods.
  • Perform detailed analysis on risk drivers and trends.
  • Update and maintain risk models as business and risk environment evolve.
  • Build and maintain large-scale risk infrastructures with scalable programming.
  • Communicate model outputs and insights clearly to partners.

Skills

Quantitative analysis
Risk management
Communication
Global collaboration
Programming experience

Education

Mathematics/Physics/Engineering degree

Tools

C/C++
Java
Python

Job description

Goldman Sachs in London is seeking an Associate in Corporate Treasury, Liquidity Quantitative Engineering / Strat. You will develop quantitative models and risk analytics to quantify liquidity risk and optimize funding, collaborating with key business partners.

The role requires strong mathematical and programming skills, experience building scalable systems, and clear communication to global audiences. You will work on models, infrastructure, and risk management practices that adapt to changing

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