Goldman Sachs Risk-Dallas-Associate-Quantitative Engineering 

United States, Texas, Dallas 

486196127

Risk aims to effectively identify, monitor, evaluate, and manage the firm’s financial and operational risks — including reputational risk — in support of the firm’s strategic plan.

RISK ENGINEERING

Risk Engineering, which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. Risk Engineering is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. As a member of Risk Engineering, you will interface with a variety of divisions around the firm as well as the other regional offices. The interaction with numerous departments and the diverse projects that ensue allow for a challenging, varied and multi-dimensional work environment.

RISK STRATS

Risk Strats use their programming and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners, understand financial market, to quantify the firm’s risk. You will also focus on developing quantitative models & scalable architecture.

FUNCTIONALITY DESCRIPTION

• Developing risk models and risk sensitivity analysis that use 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 (e.g. C, C++, Java, Python, Scala)
• Experience in designing highly scalable, efficient systems
• Effectively communicating results and outputs from the model and insights from analysis

QUALIFICATIONS

• Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline
• 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

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.