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Bloomberg Intelligence Jobs (NOW HIRING)

Bloomberg's private markets strategy is increasingly focused on building a foundational data layer ... Experience building private company intelligence, transaction data, fund performance, or portfolio ...

Team Leader - Process Engineering

Princeton, NJ ยท On-site

$108.50K - $141K/yr

... Intelligence, we advance the Data Management Lab's mission by empowering data teams with advances in observability, instrumentation, and analysis to meet the evolving needs of Bloomberg's clients. We ...

Senior Software Engineer - Buy-Side

New York, NY ยท On-site

$134K - $176.70K/yr

Powering Global Asset Management at Scale Bloomberg Buy-Side delivers a comprehensive, multi-asset ... paced, intellectually rigorous environment - one that values technical mastery, curiosity, and ...

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Bloomberg Intelligence information

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$86

How much do bloomberg intelligence jobs pay per hour?

As of May 30, 2026, the average hourly pay for bloomberg intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bloomberg Intelligence Analyst, and why are they important?

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.

How does the Bloomberg Intelligence role typically collaborate with other departments within Bloomberg, and what impact does this have on 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 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.

More about Bloomberg Intelligence jobs
What cities are hiring for Bloomberg Intelligence jobs? Cities with the most Bloomberg Intelligence job openings:
What states have the most Bloomberg Intelligence jobs? States with the most job openings for Bloomberg Intelligence jobs include:
Infographic showing various Bloomberg Intelligence job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 6% Physical, 25% Hybrid, and 69% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Senior MLOps Engineer - Artificial Intelligence

Senior MLOps Engineer - Artificial Intelligence

Bloomberg LP

New York, NY โ€ข On-site

$114.30K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Senior MLOps Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049628
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior MLOps Engineers with strong expertise and passion for building and maintaining AI systems to join our team.
As a Senior MLOps Engineer you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems and more.
Join the AI Group as a Senior MLOps Engineer and you will have the opportunity to:
  • Architect, build, and diagnose production AI applications and systems
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
  • Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

We are looking for a Senior MLOps engineer with:
  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
  • Industry experience with machine learning teams
  • Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc.
  • Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
  • Experience with cloud providers such as AWS, GCP or Azure
  • A track record of collaboration with colleagues to achieve repeatable high quality outcomes

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981