Job
Description
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. We are a business facing strat team within GS Prime Brokerage business, one of the biggest revenue streams of our Global Banking and Markets division. We run analytics driving critical business decisions such as pricing, restructuring, business selection, and constraints optimization. In this entrepreneurial role, we balance our time between building scalable data and insights platforms and running complex ad-hoc analysis and projections. Your Impact If you are looking for a commercially impactful position to leverage your extraordinary quantitative, analytics, programming and communication skills, then our team is the ideal opportunity for you. You will build data analytics systems and platforms and use them to identify and execute new revenue opportunities while working closely with Sales, Trading, Senior Management and Clients. You will build on diverse partnerships with colleagues across different functional and business areas. You will be rewarded for adaptability, initiative and strong execution and having direct impact on key revenue streams of the firm. Responsibilities & Qualifications Responsibilities As a member of this team, you are expected to have understanding of equities and fixed income markets and the financing and regulatory landscape surrounding them. You will gain detailed knowledge of revenue and capital drivers of the prime brokerage businesses. You will develop analytics models and platforms and use them to identify actionable revenue opportunities and optimally price and manage client portfolios based on predictive models. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Basic Qualifications BS/MS or PhD in a relevant field - Applied Mathematics, Data Science, Engineering, Physics or Finance Strong programming skills in Java, Python or equivalent language Excellent verbal and written communication skills Ability to work as part of a global team and deliver results quickly Comfortable working on multiple projects, demonstrating initiative and showing commercial impact Preferred Qualifications 1 or more years experience in a quantitative role A track record of solving quantitative problems and delivering results in a high-pressure environment Familiarity with Equities/FICC Markets/Prime Brokerage/Basel3 Rules a plus Familiarity in probability and advanced statistics a plus Goldman Sachs Engineering Culture
