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Goldman SachsPosted 1 month ago

Corporate Treasury- Liquidity Quantitative Engineer / Strat - Associate - London

On-siteLondon, England, United Kingdom

Full TimeEntry LevelDoctorate Or Professional DegreeEnterpriseInvestment Banking

Job Summary

Develop risk models and risk sensitivity analysis using advanced mathematical and statistical approaches, including optimization, machine learning, and regressions. Perform detailed analysis on risk trends and drivers while updating and maintaining risk models to align with business growth and changing risk environments. Design and maintain large-scale risk infrastructures and systems using compiled or scripting languages like C, C++, Java, or Python to ensure scalability and efficiency. Effectively communicate results and insights from analysis to key business partners.

Required Qualifications

  • Post graduate degree /Bachelor's degree in Mathematics, Physics, Electrical Engineering or related technical discipline
  • 3+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
  • Strong analytical and problem solving skills using math, statistics, and programming
  • Demonstrated ability to learn technologies and apply
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
  • Experience in designing highly scalable, efficient systems

Desired Qualifications

  • Familiarity with financial markets, financial assets and risk management practices is a plus

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