Liquidity Quant Engineer, Associate – Risk Modeling

Goldman Sachs, Inc.; City Of London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Goldman Sachs is seeking candidates with a strong background in mathematics, statistics, and software development to contribute to risk modeling and risk management capabilities. The role emphasizes developing scalable risk infrastructures and communicating insights to both technical and business audiences on a global scale.

Applicants should have 3+ years in software development, proficiency in at least one compiled or scripting language (C/C++, Java, Python, Scala), and familiarity with

Qualifications

• Post graduate degree / Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline.
• 3+ years experience in software development, including 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 them to problems.
• Excellent communication skills including experience speaking to technical and business audiences and working globally.

Responsibilities

• Develop risk models and risk sensitivity analyses using advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization.
• Perform detailed analysis on risk trends and drivers.
• Update and maintain risk models with business growth and risk environment changes.
• Develop and maintain large-scale risk infrastructures/systems with programming in at least one language (C, C++, Java, Python, Scala).

Skills

Analytical skills

Mathematics

Statistics

Programming

Education

Mathematics/Physics/Engineering degree

Tools

C

C++

Java

Python

Scala

Job description

Goldman Sachs is seeking candidates with a strong background in mathematics, statistics, and software development to contribute to risk modeling and risk management capabilities. The role emphasizes developing scalable risk infrastructures and communicating insights to both technical and business audiences on a global scale.

Applicants should have 3+ years in software development, proficiency in at least one compiled or scripting language (C/C++, Java, Python, Scala), and familiarity with