VP, Liquidity Metrics Quant & Risk Analytics

Goldman Sachs Group; Greater London; Hybride; GBP 180 000 - 240 000; Plein temps

Résumé du poste

Goldman Sachs in London seeks a Vice President to lead Liquidity Metrics—building and operating risk and liquidity models, analytics, and platforms for Core Engineering. You will partner with risk, finance, and controls teams across global offices to deliver scalable quantitative solutions.

Ideal candidates have 6+ years in software development, strong programming in C/C++, Java or Python, and proven ability to communicate complex results to technical and business audiences.

Qualifications

• Post graduate degree or Bachelor's in Mathematics, Physics, Electrical Engineering, or related technical discipline.
• 6+ years of software development experience with data structures and algorithms.
• Strong analytical and problem-solving skills using math, statistics and programming.
• Ability to learn new technologies and apply them effectively.
• Excellent communication skills across technical and business audiences in a global context.
• Experience in scalable, production-grade systems design.
• Familiarity with financial markets and risk management is a plus.

Responsabilités

• Develop risk models and risk sensitivity analysis using advanced mathematical and statistical approaches.
• Perform detailed analysis on risk trends and drivers.
• Update and maintain risk models as the business grows and risk environments change.
• Develop and maintain large-scale risk infrastructures with strong programming in C, C++, Java, Python, or Scala.
• Design highly scalable and efficient systems.
• Communicate model outputs and insights clearly to stakeholders.

Connaissances

Software development

Analytical skills

Programming (C/C++/Java/Python)

Adaptability

Communication

System design

Finance knowledge

Formation

Mathematics / Physics / Electrical Engineering

Description du poste

Goldman Sachs in London seeks a Vice President to lead Liquidity Metrics—building and operating risk and liquidity models, analytics, and platforms for Core Engineering. You will partner with risk, finance, and controls teams across global offices to deliver scalable quantitative solutions.

Ideal candidates have 6+ years in software development, strong programming in C/C++, Java or Python, and proven ability to communicate complex results to technical and business audiences.