Quantitative Developer

Global Banking & Markets - Eqs Quant Vol Tdg Strats - Vice President - Bengaluru

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.

Quantitative Developer

Quantitative Volatility Trading is the desk that engages in quantitative trading and market making business in equity derivatives. We are heavily dependent on technology and mathematical modeling to manage risk and continuously quote two-way markets on hundreds of thousands of listed derivatives contracts.

Job Summary & Responsibilities

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 made 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 had experience in the design and operation of distributed systems and multi-threaded applications; will have had experience with Linux, sockets, and the networking stack; and will have a strong working knowledge of modern computer architectures. Experience in finance is not necessary.

Basic Qualifications

• Solid quantitative background in CS, Physics, Math, Statistics, Mathematical Biology, or other relevant field
• Programming experience in C , Java, Scala, or Python
• Enjoy prototyping and fast iterations and willing to write minimal unit tests for prototypes

Preferred Qualifications

• Strong track record of excellent software design
• Extensive experience with modern C
• Experience working in a large and complex code-base
• Experience in the design and operation of distributed systems and multi-threaded applications
• Experience with Linux, sockets, and the networking stack
• Knowledge of modern computer architectures
• Experience in high-frequency or algorithmic trading
• Ability to work in high-pressure and time-sensitive situations
• Commercial focus, team-oriented, self-motivated
• Articulate writing and verbal communication skills
• Ability to solve problems and to explain the ideas that underlie them to colleagues

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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