Quant Vol Trading Strats, Analyst/Associate/VP, Developer
As a strat who sits in the Securities Division, you will play an integral role on the trading floor. You may create cutting-edge derivative pricing models and empirical models to provide insight into market behavior, or develop automated trading algorithms for the firm and its clients. 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.
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.
Quant Vol Trading continuously quotes and maintains a very large portfolio of 700,000 options on stocks, ETFs, Bonds, Commodities and Foreign Exchange electronically on several venues in multiples countries, implementing strategies with timescales ranging from a few microseconds to several weeks. We are currently hiring both quantitative developers and researchers to join QVT Strats in New York.
Quantitative developers are responsible for the design, performance and profitability of a very low-latency, high-throughput and extremely-distributed trading system. Low latency code is written in C++ and runs on linux. Development decisions – even infrastructural ones – are done in a highly-quantitative and data-driven fashion. Junior candidates will show a strong aptitude for quantitative and statistical thinking as demonstrated by a degree in Physics, Chemistry, Math, CS, Statistics, Mathematical Biology or a similar subject. Experience in C++ is not necessary. Senior candidates will have a strong track-record of excellent software design; extensive experience with modern C++; will have worked in a large and complex code-base; will have experience in the design and operation of distributed systems and multi-threaded applications; will have experience with the linux sockets and networking stack; and will have a strong working knowledge of modern computer architectures. Experience in finance is not necessary.
Quantitative researchers are responsible for models of risk, of co-movement, and of prediction that jointly capture the dynamics of these instruments, as well as a distributed back-testing and data-manipulation infrastructure to develop these models. QVT makes predictions on timescales ranging from a few microseconds to several weeks, incorporating the dynamics of exchange order books, the historical dynamics of company-specific events, as well as macroeconomic factors affecting risk premia of all varieties. Candidates will have, above all else, an excellent track-record of distilling complex phenomena to parsimonious and well-motivated mathematical and statistical descriptions. Models vary from the purely phenomenological to the fundamental. Candidates will have an undergraduate degree in Physics, Chemistry, Math, CS, Statistics, Mathematical Biology or a similar subject with subsequent experience in the manipulation, dimensional reduction and visualization of large data-sets, or will have a PhD or Post-Doctoral research experience in one of the above subjects with a strong publication record. Experience in finance is not necessary.
Basic Qualifications- Bachelors, Masters, or PhD in Physics, Math, Computer Science, Statistics or similar subject
- For Quant Developers: programming experience in C++ or other object oriented languages, experience working with large distributed systems and multi-threaded applications
- For Quant Researchers: strong mathematical and statistical background, experience working with large data sets (data manipulation and visualization)
- Finance experience is not necessary
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet. © The Goldman Sachs Group, Inc., 2015. All rights reserved.
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