Liquidity Quant Engineer: Risk & Analytics Lead

WeAreTechWomen; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Goldman Sachs in London seeks a software development/quant role focusing on risk models and large-scale infrastructures. You will build and maintain models, perform risk trend analyses, and contribute to scalable systems across Core Engineering.

Candidates should have 3+ years in software development, strong math/statistics background, and experience with C/C++, Java or Python. Excellent communication and global collaboration are expected.

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

Responsibilities

• Developing risk models and risk sensitivity analyses using advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization
• Performing detailed analysis on risk trends and drivers
• Updating and maintaining risk models along with business growth and risk environment changes
• Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language
• Experience in designing highly scalable, efficient systems
• Effectively communicating results and outputs from the model and insights from analysis

Skills

Analytical skills

Problem solving

Communication skills

Learning agility

Education

Master's or Bachelor in Mathematics/Physics/Electrical Engineering or related

Tools

C/C++

Java

Python

Job description

Goldman Sachs in London seeks a software development/quant role focusing on risk models and large-scale infrastructures. You will build and maintain models, perform risk trend analyses, and contribute to scalable systems across Core Engineering.

Candidates should have 3+ years in software development, strong math/statistics background, and experience with C/C++, Java or Python. Excellent communication and global collaboration are expected.