Securities, FICC - Credit Systematic Market Making Quantitative Researcher
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.
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 AND QUALIFICATIONS
- Conduct signal generation research
- Conduct research on trading cost models, liquidity models, risk models, and portfolio construction methodology
- Experience conducting research and applying statistical methods to large data sets
- Programming experience in C++, Java, or Python
- Masters or PhD in a scientific or quantitative discipline
- Past experience building quantitative signals in the Credit space
ABOUT GOLDMAN SACHS
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities 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.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https:// www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2020. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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