Responsibilities
1. Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives.
2. Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive systematic strategies which make trading and risk management decisions in real time.
3. Implement frameworks to manage risk centrally and build optimal portfolios across asset classes using factor models and other techniques
4. Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data
5. Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams
Basic Qualifications
6. Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering orputer science.
7. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python.
About Goldman Sachs
At Goldman Sachs, wemit our people, capital and ideas to help our clients, shareholders and themunities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job ID 300012067887456