Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London [...]

Goldman Sachs Bank AG
London
5 days ago
Applications closed

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Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London location_on London, Greater London, England, United Kingdom

Opportunity Overview sitemap_outline CORPORATE TITLE Vice President language OFFICE LOCATION(S) London assignment JOB FUNCTION Quantitative Engineering - Trading Strats account_balance DIVISION Global Banking & Markets

Job Description

At Goldman Sachs, our quantitative strategists are at the forefront of our business, solving complex problems through analytical methods. Working closely with traders and sales, they provide invaluable quantitative insights into financial and technical challenges that influence our business decisions.

Our team focuses on transforming the Equity business through quantitative trading and automation of daily decisions. We handle a wide range of products, including stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and sales on the trading floor to add value for clients and the firm.

Role Responsibilities

  • Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives.
  • Apply advanced statistical and quantitative techniques, including neural networks, to build models that support systematic trading strategies and real-time risk management decisions.
  • Develop risk management frameworks and construct optimal portfolios across asset classes using factor models and other techniques.
  • Create model calibration frameworks for advanced statistical and AI models, handling large-scale time series data.
  • Advance market making strategies through technological collaboration with Quant Developers and engineering teams.

Basic Qualifications

  • Strong academic background in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
  • Proficiency in programming languages such as C++, Java, or Python, with experience in object-oriented or functional paradigms.

About Goldman Sachs

Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York, with offices worldwide. We are committed to fostering diversity and inclusion, offering extensive professional and personal growth opportunities, and providing comprehensive benefits and wellness programs. Learn more at GS.com/careers.

We are dedicated to providing reasonable accommodations during our recruiting process for candidates with disabilities. More information is available at https://www.goldmansachs.com/careers/footer/disability-statement.html

Goldman Sachs is an equal opportunity employer, promoting diversity and inclusion without discrimination based on race, color, religion, sex, national origin, age, veteran status, disability, or other protected characteristics.


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