Front Office Software Engineer: Low-Latency Trading & AI

Goldman Sachs; Dallas (WV); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Valuable and competitive benefits

Wellness offerings

Job summary

Goldman Sachs is seeking a Front Office Engineer to develop robust low-latency systems vital for pricing and quoting financial instruments. Candidates should have at least 7 years of experience with modern programming languages like Java, C/C++, or Python, and possess strong analytical and communication skills.

The role requires innovative thinking and expertise in creating effective platforms for risk and P&L management. Additional benefits include a strong focus on employee wellness and competitive offerings.

Qualifications

• Minimum 7 years of relevant professional experience.
• Ability to quickly identify scope and impact of issues.
• Experience in Financial Services or Fintech is preferred.

Responsibilities

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

Skills

Modern programming languages (Java, C/C++, Python)

Strong analytical skills

Interpersonal and communication skills

Self-directed and motivated

Education

Advanced degree in Computer Science or equivalent work experience

Tools

AWS

UNIX operating systems

Terraform

Job description

Goldman Sachs is seeking a Front Office Engineer to develop robust low-latency systems vital for pricing and quoting financial instruments. Candidates should have at least 7 years of experience with modern programming languages like Java, C/C++, or Python, and possess strong analytical and communication skills.

The role requires innovative thinking and expertise in creating effective platforms for risk and P&L management. Additional benefits include a strong focus on employee wellness and competitive offerings.