Who We Are
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
Are you a highly analytical and innovative quantitative professional with a passion for the derivative pricing? Do you want to participate in the creation of the next generation of pricing and structuring library?
We are looking for a Quant Researcher to join our Core Quant Strats team and help us change the way financial products are structured, priced and risk managed at Goldman Sachs. In this role, you’ll leverage your expertise in mathematics, statistics and programming to develop and implement advanced quantitative models that directly impact our trading strategies and financial decision making.
We wear different hats
- Develop, implement and back test sophisticated mathematical models for the pricing, calibration and risk management of a wide range of financial derivatives.
- Conduct in-depth quant research on market vol dynamics, correlation structure to enhance existing models and identify new opportunities.
- Work closely with traders, portfolio managers and tech teams to integrate models into proprietary trading systems.
- Analyze large datasets to identify patterns and improve predictive power. Impact our business by improving ability to serve clients and by directly reducing compute cost through more efficient algorithms.
Basic Qualification
- Bachelors/Masters in Mathematics or Computer Science (STEM) or similar subject.
- Strong quantitative skills in both probability and statistics.
- Strong programming skills, including a clear understanding of algorithms and data structures.
- Strong interpersonal, communication and presentation skills, both written and verbal. Comfortable managing multiple stakeholders, driving consensus and influencing outcomes.
Preferred Qualification
- Experience with machine learning algorithms.
- Experience with derivative pricing and risk hedging using stochastic calculus Experience building tools and payoff languages used by traders and structurers.
Goldman Sachs Engineering Culture
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.