Global Banking & Markets, Quantitative Market Making Strat, VP, London London, Greater London, ...

In Goldman Sachs, quantitative strategists are at the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

We are a team of desk strategists who work to transform the FICC and Equity Derivatives businesses by automating the key decisions taken every day. Our team has a wide remit including automatic quoting, optimizing hedging decisions, and developing algorithms to trade derivatives on venues around the world. We also deploy statistical analysis techniques and mathematical models to enhance the decision-making process, with the overall aim of improving business performance while working closely with traders and salespeople on the trading floor.

Role Responsibilities

• Take a leading role on our Quantitative Market Making desk, implementing market making strategies across equities products from stocks to futures and options.
• Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes using factor models and other techniques.
• Build data pipelines and model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data.
• Drive our market making platform development using a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and platforms.
• Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive market making and risk management decisions in real time.

Basic Qualifications

• Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
• Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.
• At least 5 years' experience.
• Self-starter with strong self-management skills, ability to manage multiple priorities and work in a high-pressure environment.
• Excellent written and verbal communication skills.

ABOUT GOLDMAN SACHS

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