Senior Liquidity Metrics Quant Lead

Goldman Sachs; Greater London; Presencial; GBP 120.000 - 160.000; Jornada completa

Descripción de la vacante

The Core Engineering at Goldman Sachs builds and operates platforms, data solutions, and models that power critical risk, finance, and compliance processes across the firm. This team, comprising 2,000+ engineers and strats, delivers quantitative capabilities with cloud, AI, and machine learning to enable innovation and efficiency.

Key responsibilities include developing risk models, performing trend analyses, and maintaining large-scale risk infrastructures, using languages such as C/C++, Java,

Formación

• Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline.
• 6+ 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
• Familiarity with financial markets, financial assets and risk management practices is a plus

Responsabilidades

• Develop risk models and sensitivity analyses using ML, optimization, and statistics.
• Analyze risk trends and drivers in detail.
• Maintain risk models with business growth and changing risk environment.
• Build scalable risk infrastructure and systems with strong programming (C/C++/Java/Python).
• Communicate results and insights from models clearly.

Conocimientos

Risk modeling

Machine learning

Data analysis

Communication

Learning agility

Problem solving

Educación

Mathematics/Physics/Electrical Engineering degree

Herramientas

C

C++

Java

Python

Scala

Descripción del empleo

The Core Engineering at Goldman Sachs builds and operates platforms, data solutions, and models that power critical risk, finance, and compliance processes across the firm. This team, comprising 2,000+ engineers and strats, delivers quantitative capabilities with cloud, AI, and machine learning to enable innovation and efficiency.

Key responsibilities include developing risk models, performing trend analyses, and maintaining large-scale risk infrastructures, using languages such as C/C++, Java,