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Goldman Sachs Computer Science Jobs in Florida (NOW HIRING)

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by ... Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. * 6+ years of ...

Apexon

Manual Tester

Lake Mary, FL · On-site

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence across ... Bachelors degree in Computer Science, Information Technology, Engineering, or a related field ...

Apexon

Middleware & Cloud Administrator

Lake Mary, FL · On-site

$46 - $60.25/hr

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence across ... Education Requirement: • Bachelor's degree in Computer Science, Information Technology ...

Apexon

AWS Cloud Engineer

Lake Mary, FL · On-site

$48.75 - $65.25/hr

... sciences, helping businesses capitalize on the unlimited opportunities digital offers. Our ... Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence across ...

All JobsGoldman Sachs Computer Science JobsGoldman Sachs Computer Science Jobs in Florida

Goldman Sachs Computer Science information

See Florida salary details

$62.4K

$76.6K

$101.3K

How much do goldman sachs computer science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for goldman sachs computer science in Florida is $76,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $85,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Goldman Sachs Computer Science position, and why are they important?

To thrive in a Computer Science role at Goldman Sachs, you need a strong background in computer science, software engineering, and quantitative analysis, often supported by a relevant degree. Familiarity with programming languages like Java, Python, or C++, as well as experience with distributed systems, databases, and regulatory-compliant development tools is typically expected. Strong problem-solving abilities, collaborative teamwork, and clear communication skills are highly valued in this fast-paced environment. These skills ensure the ability to deliver robust technology solutions that support the firm's complex financial operations and innovation goals.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software engineers, data analysts, cybersecurity analysts, and systems developers. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and may involve working in tech companies, finance, or consulting firms.

What is a Goldman Sachs Computer Science job?

A Goldman Sachs Computer Science job typically refers to a technical role within the firm's engineering division, where professionals work on software development, data analysis, cybersecurity, and financial technology solutions. These roles involve designing and maintaining critical systems for trading, risk management, and banking operations. Candidates usually have expertise in programming languages like Java, Python, or C++, and a strong foundation in algorithms and data structures. The firm looks for problem-solving skills and the ability to work in a fast-paced financial environment.

What is the Goldman Sachs 15 minute rule?

The Goldman Sachs 15 minute rule is a time management guideline encouraging employees to respond to emails, messages, or tasks within 15 minutes to maintain productivity and prompt communication. It emphasizes quick action on urgent matters and helps prevent backlog in a fast-paced financial environment.

What are some common projects or tasks that Computer Science professionals work on at Goldman Sachs?

At Goldman Sachs, Computer Science professionals are involved in designing, building, and maintaining advanced technology platforms that support trading, risk management, and data analysis. Day-to-day responsibilities may include developing new applications, optimizing existing systems for performance and scalability, and collaborating closely with business analysts, traders, and other stakeholders to deliver high-impact solutions. There is a strong emphasis on continuous learning and innovation, with opportunities to work on cutting-edge initiatives such as machine learning-driven analytics and cloud-based infrastructure. You'll be part of agile, cross-functional teams where collaborative problem-solving and open communication are central to success.

What tech jobs pay $400,000 a year?

In the technology sector, roles such as senior software engineers, quant traders, and technical directors at major firms can earn $400,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often a strong background in algorithms, finance, or leadership within high-performance environments.

Does Goldman Sachs hire computer engineers?

Goldman Sachs hires computer engineers for roles in technology, software development, and quantitative analysis. These positions often require programming skills in languages such as Python, Java, or C++, and familiarity with financial systems and data analysis tools.
What job categories do people searching Goldman Sachs Computer Science jobs in Florida look for? The top searched job categories for Goldman Sachs Computer Science jobs in Florida are:
Goldman Sachs Computer Science jobs near you
Infographic showing various Goldman Sachs Computer Science job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $76,597 per year, or $36.8 per hour.

Data Science & Analytics Lead

OpenFX

Miami, FL • On-site

Full-time

Re-posted 13 days ago

Job description

About Us
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors.
Role Overview
We are seeking a talented Data Science & Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.
Key Responsibilities:
  • Data Infrastructure & Governance:
    • Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
    • Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.
  • Business Intelligence & Insights:
    • Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
    • Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
    • Analyze user behavior and transaction patterns to drive growth strategies.
  • Risk & Financial Analytics:
    • Build analytics models for pricing optimization and financial planning.
    • Create risk monitoring systems and fraud detection analytics to ensure platform security.
  • Strategic Partnership & Team Leadership:
    • Partner with leadership to provide data-driven insights for strategic decision-making.
    • Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for
Must-haves:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 6+ years of experience in analytics or data science roles.
  • Strong programming skills in Python and SQL.
  • Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
  • Proven experience building and maintaining large-scale data pipelines.
  • Excellent communication skills with the ability to present complex data to non-technical stakeholders.
  • Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:
  • A Master's degree in a relevant field.
  • Experience in a fintech or financial services environment.
  • Direct experience with crypto/blockchain analytics.
  • Startup experience is highly preferred.
  • Expertise with data visualization tools like Tableau or Looker.

What We Offer
  • Competitive salary and benefits package.
  • Equity in a rapidly growing company.
  • Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
  • Opportunity to make a significant impact on global financial infrastructure
  • Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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