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Bloomberg Intelligence Jobs in California (NOW HIRING)

Intellectual curiosity * 2-3 years of relevant experience in portfolio management, business ... Advanced knowledge of Excel and reasonable proficiency with Bloomberg preferred * CFA designation ...

Intellectual curiosity * 2-3 years of relevant experience in portfolio management, business ... Advanced knowledge of Excel and reasonable proficiency with Bloomberg preferred * CFA designation ...

Head of Engineering

San Francisco, CA · On-site

$250K - $280K/yr

  • Medical

  • Dental

  • Vision

... IQ, Bloomberg, FactSet, or Refinitiv * Familiarity with portfolio construction, risk management, or investment workflows * Deep knowledge of predictive and generative artificial intelligence ...

Quantitative Developer

San Francisco, CA · On-site

$180 - $280/hr

  • Medical

  • Dental

  • Vision

About Poesis Whoever builds the leading intelligence for finance will create far more than returns ... Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv. * Exposure to portfolio ...

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

  • Medical

  • Dental

  • Vision

About Poesis Whoever builds the leading intelligence for finance will create far more than returns ... Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv. * Exposure to portfolio ...

Showing results 21-40

Bloomberg Intelligence information

See California salary details

$39

$59

$85

How much do bloomberg intelligence jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for bloomberg intelligence in California is $59.28, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $63.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bloomberg Intelligence analyst?

To thrive as a Bloomberg Intelligence Analyst, you need a solid background in financial analysis, industry research, and often a degree in finance, economics, or a related field. Proficiency with financial modeling tools, Bloomberg Terminal, Excel, and data visualization platforms is typically required, alongside certifications like CFA being advantageous. Analytical thinking, strong written and verbal communication, and the ability to distill complex data into actionable insights set top performers apart. These skills ensure accurate, timely, and impactful research that helps clients make informed investment decisions.

What is the difference between Bloomberg Intelligence vs Bloomberg Data Analyst?

AspectBloomberg IntelligenceBloomberg Data Analyst
CredentialsTypically requires finance, economics, or related degrees; certifications like CFA are commonRequires strong analytical skills, proficiency in data tools, and often a degree in finance, economics, or computer science
Work EnvironmentResearch-focused, analytical, often in a team setting within financial servicesData processing, analysis, and reporting in a fast-paced financial environment
Employer & Industry UsageUsed by financial analysts, investors, and corporate clients for research and insightsUsed by financial firms, investment banks, and asset managers for data management and analysis

Bloomberg Intelligence primarily provides in-depth research and analysis on industries, companies, and markets, while Bloomberg Data Analysts focus on managing and analyzing financial data to support decision-making. Both roles are integral to financial services but differ in their core functions and skill sets.

How does a Bloomberg Intelligence analyst collaborate with other departments, and how does this affect daily responsibilities?

Professionals in Bloomberg Intelligence frequently collaborate with sales, product, and technology teams, as well as external clients. This cross-functional teamwork ensures that research insights are aligned with client needs and market trends, and often requires adapting complex information for varied audiences. Daily responsibilities may include preparing sector reports, communicating findings to internal stakeholders, and responding to real-time data requests. This collaborative environment fosters a dynamic workflow and helps analysts develop a broad skill set, positioning them well for future advancement within Bloomberg.

What is Bloomberg Intelligence?

Bloomberg Intelligence (BI) is a research platform within Bloomberg that provides in-depth analysis, data, and insights on industries, companies, and global markets. It supports investment professionals by offering timely, comprehensive research and analytics to help them make informed decisions. BI covers a wide range of sectors and asset classes, delivering actionable information through the Bloomberg Terminal. Its analysts are experts in their fields, combining data-driven research with industry knowledge.

What cities in California are hiring for Bloomberg Intelligence jobs?

Cities in California with the most Bloomberg Intelligence job openings:

Infographic showing various Bloomberg Intelligence job openings in California as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,293 per year, or $59.3 per hour.

Software Engineer at Dublin, CA 6+ months contract Locals preferred

USM Business Systems

Dublin, CA • On-site

Full-time

Re-posted 8 hours ago


Job description

Job Summary:
USM Business Systems Inc. is a global System Integrator and IT services provider headquartered in Chantilly, VA, specializing in technology innovation and business-oriented IT environments. They are seeking a Software Engineer with advanced software engineering skills and experience in investment management systems to work on a 6+ month contract in Dublin, CA. The role involves working with Oracle, SQL, PL/SQL, Informatica, and Unix shell scripting, and requires knowledge in data management, integration with market data providers, and familiarity with Agile and Waterfall methodologies.
Responsibilities:
• Advanced software engineering skills, using the following stack: Oracle, SQL, PL/SQL, Informatica power center, Unix shell scripting
• Knowledgeable in Data Management as relates to Data Validations, exceptions & data cleansing.
• Exposure to integrations with Market Data providers & Analytical systems like Bloomberg, FactSet, Barclay's POINT, etc.
• Experience with Business Intelligence reporting tools like SAP Business Objects, computational tools like MATLAB or R is a plus
• A good understanding of application development and production support activities.
• Exposure to Agile (Scrum, DAD, and the like) and CMM Waterfall methodologies
• Ability to adapt quickly and easily to changes within the business
• Strong oral and written communication skills
• Ability to work independently or in a team environment on larger projects.
• Excellent organization, planning and time management skills.
Qualifications:
Required:
• A minimum of 5 to 8 years of Software Engineering experience in an Investment Management Systems / IT environment
• A minimum of 3 years relevant industry experience (active or passive investment management, especially with Investment Performance and Risk domain)
• Advanced software engineering skills, using the following stack: Oracle, SQL, PL/SQL, Informatica power center, Unix shell scripting
• Knowledgeable in Data Management as relates to Data Validations, exceptions & data cleansing.
• Exposure to integrations with Market Data providers & Analytical systems like Bloomberg, FactSet, Barclay's POINT, etc.
• A good understanding of application development and production support activities.
• Exposure to Agile (Scrum, DAD, and the like) and CMM Waterfall methodologies
• Ability to adapt quickly and easily to changes within the business
• Strong oral and written communication skills
• Ability to work independently or in a team environment on larger projects.
• Excellent organization, planning and time management skills.
Preferred:
• Experience with Business Intelligence reporting tools like SAP Business Objects, computational tools like MATLAB or R is a plus
Company:
USM Business Systems is a global IT services and staffing company. Founded in 1999, the company is headquartered in Chantilly, USA, with a team of 201-500 employees. The company is currently Growth Stage.