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Bloomberg Intelligence Jobs (NOW HIRING)

Bloomberg

Model Validation Expert

Manhattan, NY · On-site

Evaluate Bloomberg's compliance with ERR model-related obligations, including methodology ... Strong intellectual curiosity, commitment to technical excellence, and ability to operate with ...

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How much do bloomberg intelligence jobs pay per hour?

As of Sep 12, 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 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.

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 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.

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Bloomberg Intelligence jobs near you
Infographic showing various Bloomberg Intelligence job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 73% In-person, 11% Hybrid, and 16% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Senior ML Platform Engineer - Artificial Intelligence

New York, NY • On-site

Bloomberg LP
Finance and Insurance • 10K+ employees
Learn more about Bloomberg LPexternal

$114K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Key responsibilities

  • Architect, build, and diagnose multi-tenant AI platform systems

  • Work closely with AI application teams to design workflows for model training, inference, and monitoring

  • Design CI/CD automation frameworks and develop cloud-native deployment patterns for AI systems

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Senior ML Platform Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10050078
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 ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
  • Architect, build, and diagnose multi-tenant AI platform systems
  • Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
  • Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
  • Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
  • Design CI/CD automation frameworks that incorporate regulatory requirements
  • Develop cloud-native deployment patterns for AI systems across environments
  • Troubleshoot and debug user issues
  • Provide operational and user-facing documentation

We are looking for a Senior ML Platform Engineer with:
  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • Experience designing cloud-native, distributed platforms
  • Strong knowledge of Kubernetes, Argo, and container orchestration technologies
  • Previous experience with modern CI/CD tools and GitOps workflows
  • Familiarity with implementing automation for model development lifecycles
  • A proactive mentality and ability to collaborate with peers, stakeholders, and management
  • A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 160000 - 240000 USD Annually + 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.
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

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