MORE ABOUT THIS JOB
YOUR IMPACT
As a strat who sits in the Securities Division, you will play an integral role on the trading floor. You may develop automated trading algorithms for the firm and its clients or create cutting-edge derivative pricing models and empirical models to provide insight into market behavior. You might be involved in analyzing exposures and structuring transactions to meet client needs, or involved in designing and developing complex parallel computing architectures, electronic trading tools, and advanced algorithms. Throughout the Securities Division, strats are using quantitative and technological techniques to solve complex business problems.
THE SECURITIES DIVISION
Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.
Job Summary
Candidates joining the Credit Systematic Market Making (SMM) Trading desk are engaged in market making and its related functions in US Credit and Muni products. The desk offers liquidity primarily in a principal capacity and trade with clients via vendor platforms and directly with clients intermediated by sales. Team members combine their mathematical, programming and market expertise to build and generate systematic strategies. The desk looks for individuals with strong mathematical skillsets, programming experience, and who are motivated to get hands on experience with algorithmic trading.
Responsibilities
* Conduct signal generation research
* Conduct research on trading cost models, liquidity models, risk models, and portfolio construction methodology
Basic Qualifications
* Past experience with building quantitative signals in equities or fixed income
* Programming experience in C++, Java, or Python
* Masters, or PhD in a scientific or quantitative discipline
New York, New York
The Goldman Sachs Group, Inc. operates as an investment banking, securities, and investment management company worldwide. It operates in four segments: Investment Banking, Institutional Client Services, Investing & Lending, and Investment Management. The Investment Banking segment provides financial advisory services, including strategic advisory assignments related to mergers and acquisitions, divestitures, corporate defense activities, restructurings, spin-offs, and risk management; and underwriting services, such as debt and equity underwriting of public offerings and private placements of various securities and other financial instruments, as well as derivative transactions with public and private sector clients.
The Institutional Client Services segment is involved in client execution activities related to making markets in cash and derivative instruments for interest rate products, credit products, mortgages, currencies, commodities, and equities; and provision of securities services comprising financing, securities lending, and other brokerage services, as well as the marketing and clearing of client transactions on various stock, options, and futures exchanges.
The Investing & Lending segment invests in and originates longer-term loans; and makes investments in debt securities and loans, public and private equity securities, and infrastructure and real estate entities, as well as provides unsecured and secured loans through its digital platforms. The Investment Management segment offers investment management services; and wealth advisory services consisting of portfolio management, financial planning and counseling, and brokerage and other transaction services. The company serves corporations, financial institutions, governments, and individuals. The Goldman Sachs Group, Inc. was founded in 1869 and is headquartered in New York, New York.