Global Markets, Quantitative Engineer

**OUR IMPACT**
**GLOBAL MARKETS**
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 managerisk. 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.
**YOUR IMPACT**
In SMM, we look to our Engineers to own the business, rather than support it. As a systematic trading group, we aim to leverage best-in-class technology and quantitative approaches to produce scalable and repeatable returns across the assets we trade, as wellas innovation in how the division provides liquidity to the client franchise. We are looking for a Quantitative Engineer in London, with a passion for using technology to drive commercial results, to focus on building our electronic Rates business. The teamstructure is designed to embrace hybrid skillsets across software development, quantitative research and trading.
**SYSTEMATIC MARKET MAKING - RATES**
FICC SMM is a global cross-asset systematic market making business covering FX, Commodities, Interest Rates, and Credit. As an automated trading business, SMM manages both the financial and operational risks of this business.
SMM Rates focuses on providing liquidity to clients, primarily via electronic channels, in Bonds, Swaps, Futures and ETFs. Our mission is to grow the franchise, increase innovation across the division, generate standalone revenues and run the business in atruly systematic fashion such that required human involvement/intervention scales sub-linearly with the number/volume of products we trade or clients we serve.
**HOW YOU WILL FULFILL YOUR POTENTIAL**
**Role Responsibilities**:

- Development of automated quoting, risk-management and hedging algorithms for the electronic Rates franchise in EMEA, working as part of a global team.
- Quantitative analysis of inquiry data and market tick-data to optimize the quoting and hedging systems.
- Generate and research ideas for system enhancements that drive commercial performance.
- Working with sales and technology teams and constantly iterating to ensure our connectivity and access to liquidity evolves with the market.
- Understand the regulatory and supervisory environment and demonstrate ownership of our obligations and responsibilities under this.

**SKILLS & EXPERIENCE WE'RE LOOKING FOR**
**Basic Qualifications**:

- Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, Economics etc.
- Strong software engineering background.
- Ability to analyse large data sets and draw commercial conclusions.
- History of productive interaction with other groups, especially sales, trading and other technology teams.
- Experience building Java-based systems in a Linux environment, with strict requirements for low-latency (microseconds count) and deterministic performance.

**Preferred Qualifications**:

- Relevant markets/securities/trading experience is a plus but not required.
- Experience with Python for big-data analysis.
- Low-latency messaging, network protocols, network I/O in Java, JNI.

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.
© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity