About The Position

At Goldman Sachs, our Engineers don't just make things – we make things possible. We empower change by connecting people and capital with innovative ideas, solving the most challenging engineering problems for our clients. Join our teams building massively scalable software, architecting low-latency infrastructure, and leveraging AI alongside financial engineering to transform data into actionable insights. Drive new businesses, redefine finance using AI, and seize opportunities at market speed. In an era defined by AI, Engineering isn't just central – it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here. Goldman Sachs Engineers are at the forefront of innovation, driving solutions as creative collaborators in a fast-paced global environment. We seek individuals who evolve, adapt, and thrive on challenging problems. As a Front Office Engineer, you will be instrumental in developing cutting-edge software solutions. Your responsibilities will include designing and implementing robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments, such as USTs, Swaps, and MBS. You will also develop innovative platforms that enable efficient risk and P&L management for our trading desks. A key aspect of your role will involve leveraging AI-driven analytics for sophisticated data analysis and to inform predictive pricing strategies.

Requirements

  • STEM degree
  • Solid communication and interpersonal skills are a must given that the role will involve interacting with traders & salespeople
  • Strong analytical skills, ability to quickly identify scope and impact of issues.
  • Ability to work well in a team setting often with developers in other regions.
  • 5+ years of relevant work experience.
  • Strong programming skills in one or more languages (Java, C/C++, Python).
  • Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts.
  • Experience in messaging middleware like Kafka
  • Experience in developing and testing distributed systems
  • Working knowledge of UNIX.

Responsibilities

  • Designing and implementing robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments, such as USTs, Swaps, and MBS.
  • Develop innovative platforms that enable efficient risk and P&L management for our trading desks.
  • Leveraging AI-driven analytics for sophisticated data analysis and to inform predictive pricing strategies.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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