Senior Software Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs

New York (NY)

Hybrid

USD 150,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Competitive vacation policy
Health and wellness programs
Financial wellness & retirement support
Child care and fitness center access

Job summary

Goldman Sachs Group, Inc. is looking for a Senior Software Engineer to build innovative software solutions for pricing and risk management in New York, NY. You will design robust systems to support the trading desks and leverage AI for predictive analytics.

The ideal candidate has at least 7 years of programming experience, preferably with a degree in Computer Science. The position offers a competitive base salary and various benefits including wellness programs and retirement support.

Qualifications

  • Minimum 7 years of professional experience in a modern programming language.
  • Ability to quickly identify scope and impact of issues.
  • Energetic, self‑directed, and self‑motivated.

Responsibilities

  • Design and implement robust, low‑latency systems for pricing.
  • Develop platforms for efficient risk and P&L management.
  • Leverage AI‑driven analytics for data analysis.

Skills

Programming (Java, C/C++, Python)
Analytical Skills
Team Collaboration

Education

Advanced degree in Computer Science or equivalent

Tools

AWS
UNIX operating systems
Terraform

Job description

Senior Software Engineer, Global Banking & Markets, Front Office Technology

New York, NY, United States

Job Description

What We Do – At Goldman Sachs, engineers create products that connect people and capital with ideas. We solve complex engineering problems for our clients and build highly scalable, low‑latency systems, proactively guard against cyber threats, and use machine learning to turn data into action.

Who We Look For – Engineers who innovate, collaborate and thrive in a fast‑paced global environment. As a Front Office Engineer you will shape software that supports pricing, quoting, hedging, risk and P&L management for a range of financial instruments (USTs, Swaps, MBS, etc.) and use AI‑driven analytics for predictive pricing.

Responsibilities

  • Design and implement robust, low‑latency systems for pricing, quoting, and hedging of a diverse set of financial instruments.
  • Develop innovative platforms to enable efficient risk and P&L management for our trading desks.
  • Leverage AI‑driven analytics for sophisticated data analysis and to inform predictive pricing strategies.
  • Collaborate across teams to deliver high‑availability, mission‑critical solutions.

Basic Qualifications

  • Advanced degree in Computer Science or equivalent experience.
  • Minimum 7 years of professional experience in a modern programming language (Java, C/C++, Python).
  • Strong analytical skills; ability to quickly identify scope and impact of issues.
  • Team‑oriented mindset with excellent interpersonal and communication skills.
  • Energetic, self‑directed, and self‑motivated.

Preferred Qualifications

  • Experience in Financial Services or Fintech.
  • Proven ability to lead engineering teams and deliver complex products with multiple stakeholders.
  • Experience with AWS and microservice architectures.
  • Experience with high‑availability, mission‑critical systems.
  • Experience with distributed tracing, performance testing, authentication and authorization.
  • Experience with UNIX operating systems, infrastructure as code (Terraform), and networking.
  • Proficiency with algorithms, data structures, and software design.

Salary Range

$150,000–$300,000 base salary for New York, NY, United States. Eligible for discretionary bonus if an active employee as of fiscal year‑end.

Benefits

  • Competitive vacation policy based on employee level and office location.
  • Health and wellness programs, including medical advocacy, EAP, global medical assistance.
  • Financial wellness & retirement support and education.
  • Child care, fitness center access, and wellness resources.
  • All benefits are subject to the terms of the offer of employment.
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