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

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. #J-18808-Ljbffr