Full Stack Software Engineer (Front Office Developer) - Equities Synthetic Products Group (SPG)

Job Description

MORE ABOUT THIS JOB

What We Do

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.

Goldman Sachs Electronic Trading

Goldman Sachs Electronic Trading (GSET) has launched an initiative to become the top provider in electronic trading by building superior technology and delivering high quality products. This vision is a multi-year investment in people, platforms and products. Join the team, and participate in the development and launch of best in class products for top clients across the industry. We are looking for eager, nimble and ambitious engineers to join our growing team of visionaries, and drive Goldman Sachs Electronic Trading to achieve and exceed our goals.

Your Impact

This team is accountable for platform architecture evolution to meet the evolving needs of different business lines globally with rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways.

As a member of the team, you will play an integral role on the trading floor. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring trading performance for systems and strategies used by our clients.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally. From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office

RESPONSIBILITIES AND QUALIFICATIONS

The Synthetics Product Group (SPG) organization is part of a front to back alignment where engineers are embedded with the revenue generating part of the business. This provides opportunities to partner closely across the SPG organization to deliver the firm even more effectively and efficiently to our clients

Responsibilities

• Design, build and maintain a high-performance, high-availability, high-capacity, yet nimble and adaptive platform for order management, exchange connectivity, processing high volumes of ticking data and post-trade processing
• Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems
• Design distributed computation infrastructure to run parallelized queries over large volumes of data
• Use data to guide decision-making, developing or enhancing tools as necessary to collect it
• Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc

Basic Qualifications

• Bachelors or Master’s degree in Computer Science, Engineering, Quantitative Research or equivalent experience
• 7+ years of professional experience developing deterministic high performance, low latency systems (in single digit microseconds)
• A solid understanding of object orientated programming skills in Java and Javascript, including data structures, algorithms and design patterns
• Experience developing distributed architecture systems and messaging protocols
• Strong communication skills and the ability to work in a team
• Strong analytical and problem solving skills
• Experience in data driven quantitative analysis and optimization

Preferred Qualifications

• Working experience in the financial industry
• Financial knowledge and good understanding of Equities Synthetic products
• Prior experience with Python programming languages
• Experience building state management systems, complex event processing and transaction sequencing architectures
• JVM internals, tuning for low-latency, GC-free real-time operation
• Prior experience with event sourcing (sequenced core stream) based architecture
• Linux systems programming experience including memory management, concurrent programming infrastructure, and the networking stack

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