Risk - Quantitative Engineering (Vp)

**RISK**

The Risk Division 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.

Our Risk division develops comprehensive processes to monitor, assess, and manage the risk of expected and unexpected events that may have an adverse impact on the firm. Risk teams play a critical function for the firm, driving how the firm takes and manages risk. Risk professionals execute critical day-to-day risk management activities, lead projects and contribute to the ongoing advancement of a robust risk management program. Effective coordination with executive management, business units, control departments and technology is critical for success.

**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 Engineering professionals are part of the value proposition of the firm and we balance our key functional responsibility of control with that of being commercial. RE has strong traditions of risk management, client service excellence and career development opportunities for our people.

**LIQUIDITY RISK STRATS**

Liquidity Risk Strats use their engineering 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 markets and liquidity risk to quantify the firm’s liquidity risk. You will also focus on developing quantitative models & scalable architecture.

**FUNCTIONALITY DESCRIPTION**
- Developing liquidity 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 liquidity risk is a plus