1

Goldman Sachs Machine Learning Jobs in Florida (NOW HIRING)

... GSO, Fortress, Goldman Sachs, Citigroup, J.P. Morgan and Merrill Lynch. Position Description ... and learning and development opportunities, and other bespoke benefits. Please submit resume ...

... Facebook, Goldman Sachs, Visa, Mastercard, and American Express. We're putting together a world ... machine that keeps every corridor running on time and on spec. This is not a process-management or ...

Goldman Sachs Machine Learning information

What do machine learning professionals at Goldman Sachs do?

Machine learning professionals at Goldman Sachs develop and implement algorithms that analyze large datasets to improve decision-making and automate processes across the firm. They work on projects ranging from risk assessment and fraud detection to trading strategies and client personalization. These roles involve close collaboration with engineers, data scientists, and financial experts to create innovative solutions that drive business value and efficiency. The work is highly dynamic and requires strong programming, statistical, and analytical skills.

What are the key skills and qualifications needed to thrive as a machine learning professional at Goldman Sachs?

To thrive as a Machine Learning professional at Goldman Sachs, you need a solid background in computer science, statistics, and quantitative analysis, typically supported by an advanced degree in a related field. Expertise in programming languages such as Python or Java, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with financial data systems are essential. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams set top candidates apart. These skills are crucial for creating innovative, reliable, and compliant data-driven solutions that drive business value in the fast-paced financial sector.

What is the difference between Goldman Sachs Machine Learning vs Goldman Sachs Data Analyst?

AspectGoldman Sachs Machine LearningGoldman Sachs Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML algorithmsDegree in Finance, Economics, or related fields; proficiency in data analysis tools
Work EnvironmentFocus on developing ML models, programming, and algorithm optimizationData interpretation, reporting, and supporting decision-making processes
Employer & Industry UsageTech-driven roles within finance, emphasizing AI and automationFinancial services, emphasizing data reporting and analysis

Goldman Sachs Machine Learning roles primarily involve developing and implementing machine learning models, requiring technical skills in programming and algorithms. In contrast, Goldman Sachs Data Analysts focus on analyzing financial data, generating reports, and supporting business decisions. Both roles are integral to the firm's data-driven strategies but differ in technical depth and daily tasks.

Is Goldman Sachs Machine Learning a high paying job?

A machine learning role at Goldman Sachs is typically considered high paying within the finance and tech industries, often offering competitive salaries and bonuses due to the specialized skills required. Compensation can vary based on experience, education, and performance, but these positions generally provide above-average industry pay. Advanced knowledge of programming, data analysis, and financial concepts can further enhance earning potential.

What job categories do people searching Goldman Sachs Machine Learning jobs in Florida look for?

The top searched job categories for Goldman Sachs Machine Learning jobs in Florida are:

Infographic showing various Goldman Sachs Machine Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Full-time

Medical, Dental, Vision

Posted 22 days ago


Job description

Firm Overview
Star Mountain is a rapidly growing, specialized private investment firm focused on the large and less competitive lower middle-market ("LMM"), comprised of businesses that generally have between $5 million and $50 million in annual EBITDA. Star Mountain employs three complementary strategies: (i) private credit, (ii) private equity and (iii) secondary private credit and private equity fund investing, all focused within the U.S. LMM. Star Mountain's track record, business model, growth trajectory and award-winning culture provide compelling career opportunities for driven and talented individuals. Culture is a core principle which includes long-term alignment of interest with 100% of U.S. employees participating in investment profits. Star Mountain has ~$4.5 billion in assets under management (committed capital including debt facilities as of 10/31/25) and expects strong continued growth based on its performance, distinctive investment approach and its diversified investor base of domestic and global institutions (including public pensions, corporate pensions, insurance companies, commercial banks, endowments, foundations and family offices) and individuals. Star Mountain values team players with positive, solutions-based attitudes complemented by a strong work ethic and is heavily committed to long-term training and career development. Star Mountain is employee-owned with material long-term wealth creation opportunity for dedicated, entrepreneurial professionals. Dynamic team of 120+ full-time people and 40+ Senior Advisors / Operating Partners. The senior team has an average of 30 years of investment experience including prior leadership experience at Blackstone / GSO, Fortress, Goldman Sachs, Citigroup, J.P. Morgan and Merrill Lynch.
Position Description:
  • Assist in managing the President's calendar, including scheduling meetings and appointments.
  • Manage and book all President travel, including flights, hotels, ground transportation, itineraries, and real-time changes; ensure seamless logistics and timely communication.
  • Assist in the coordination and preparation of materials for meetings, including agendas, tear sheets, and reports.
  • Ensure CRM database is up to date with relevant and accurate information.
  • Act as a liaison between the President and internal/external stakeholders, including clients, partners, etc.
  • Handle confidential information with discretion and professionalism.
  • Anticipate the President's needs and proactively address them.
  • Manage and prioritize multiple tasks and deadlines effectively.
  • Reports to the Senior Executive Administrator and provides high-level administrative and operational support.

Qualifications:
  • 1-5 years' experience as an executive assistant to a senior level professional or similar role, with experience in the finance or asset management industry preferred.
  • Bachelor's degree or equivalent experience.
  • Strong organizational and time management skills with great work ethic and an understanding that work may need to occur late evenings or on weekends.
  • Superior technical aptitude and digital-native comfort level essential for success in our highly tech-enabled, fast-paced environment.
  • Excellent written and verbal communication skills.
  • Proficiency in Microsoft Office suite (Word, Excel, PowerPoint, Outlook).
  • Ability to work independently and collaboratively in a fast-paced environment.
  • High level of discretion and professionalism.
  • Positive attitude.

Location: Must be willing to work 5 days per week out of our Tampa, Florida office
Compensation:
The exact salary will be determined based on the candidate's qualifications, experience, and performance during the selection process. Employees are eligible for an annual discretionary bonus and other economics. Total compensation may vary by role, location, department, and individual performance. Star Mountain is 100% employee owned providing for material economic wealth creation opportunity.
Benefits:
Star Mountain Capital is committed to a healthy and engaged workforce. Our benefits are constantly evolving to support our employees' needs today and in the future. We offer a highly competitive medical, dental, and vision package. Select other benefits include: 50% coverage on monthly gym memberships, a cell phone stipend, tuition support of job-related designations and learning and development opportunities, and other bespoke benefits.
Please submit resume through LinkedIn. If we require any additional information, we will reach out directly.
Investing in the Growth Engine of America ®
www.StarMountainCapital.com