Software Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Dallas, TX
Posted
10 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $196k
$159k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $166,038–$226,400.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 134 open roles on FindRole.

Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.

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At a glance

TL;DR · Software Engineer, Global Banking & Markets, Front Office Technology

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As a Software Engineer, Global Banking & Markets, Front Office Technology, you will join the engineering team to develop cutting-edge software solutions for trading desks. You will be responsible for designing and implementing robust, low-latency systems used for pricing, quoting, and hedging various financial instruments including USTs, Swaps, and MBS. Additionally, you will build innovative platforms to facilitate efficient risk and P&L management while leveraging AI-driven analytics for sophisticated data analysis and predictive pricing strategies. The role requires proficiency in modern programming languages such as Java, C/C++, or Python, along with knowledge of algorithms, data structures, and software design. Preferred technical skills include experience with AWS, microservice architectures, distributed tracing, performance testing, infrastructure as code using Terraform, UNIX operating systems, and networking to support high availability, mission-critical systems in a financial services context.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Java C++ Python AWS Terraform SOA UNIX Distributed Tracing Performance Testing Machine Learning AI Infrastructure as Code Data Structures Algorithms Software Design

What you'll do

  • Design and implement robust, low-latency systems for pricing, quoting, and hedging financial instruments.
  • Develop innovative platforms to enable efficient risk and P&L management for trading desks.
  • Leverage AI-driven analytics for sophisticated data analysis and predictive pricing strategies.
  • Build massively scalable software and infrastructure solutions to solve complex engineering problems.
  • Proactively guard against cyber threats to protect firm assets and client data.
  • Develop and maintain high-availability, mission-critical systems in a fast-paced environment.
  • Implement microservice architectures and distributed tracing for system performance and reliability.

What we're looking for

  • Advanced degree in Computer Science or equivalent work experience.
  • Minimum of 2 years of professional experience using Java, C/C++, or Python.
  • Proficiency with algorithms, data structures, and software design.
  • Experience in Financial Services or Fintech industries.
  • Experience with AWS and microservice architectures (SOA).
  • Experience with high availability, mission-critical systems, and distributed tracing.
  • Knowledge of UNIX operating systems, infrastructure as code (Terraform), and networking.
  • Strong analytical, communication, and interpersonal skills to work in a team environment.

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