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.
What we do
Front-office Strategists (“Strats”) are responsible for building quantitative and technological edge to drive business evolution within the firm’s Global Banking & Markets division. Some sit on individual trading desks, where they develop models to price derivatives, evaluate risks and hedges, and understand market behavior. Others work across desks, building large-scale quoting and risk platforms or optimize division-wide capital deployment, or across venues, pushing the frontiers of low-latency and algorithmic trading on exchanges and electronic channels. All play an integral role on the trading floor at the intersection of quant finance and commercial decision-making.
Responsibilities
As an IRP Strat, your responsibilities may include, but are not limited to:
- Pricing and risk management of non-linear rates, from vanilla options to callable exotics: building, maintaining and enhancing pricing models, quantitative risk management and quoting methodologies, and tools used by the trading desk for complex risk analyses.
- Pricing and risk management of one-delta rates, from SOFR swaps to Treasury ETFs: synthesizing swap curves and NAV bases from market data, identifying relative-value opportunities across markets, and building out our systematic market-making strategy.
- Partnering with engineering teams to build and deploy scalable high-performance trading platforms which utilize cutting-edge proprietary and emerging technologies including cloud-based and AI architectures.
Basic Qualifications
- Undergraduate or advanced degree in computer science, engineering, math, physics or similar
- Strong programming experience, preferably in a high-performing language such as C/C++/Java or Python (with NumPy, Pandas, etc.)
- Demonstrated interest in financial markets and quantitative finance, e.g. stochastic calculus or statistical arbitrage/signals
- Strong communication and interpersonal skills
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.