ZipRecruiter

Log In

1

Bloomberg Quant Jobs (NOW HIRING)

Bloomberg

Quant Analyst - Market Risk

Manhattan, NY · On-site

$155 - $285/hr

Bloomberg's Quantitative Analytics team is responsible for the design and implementation of modeling analytics that support client pricing and risk management solutions for financial products across ...

Bloomberg LP

Quant Analyst - Market Risk

New York, NY · On-site

Quant Analyst - Market Risk Location New York Business Area Product Ref # 10053364 Description & Requirements Bloomberg's Quantitative Analytics team is responsible for the design and implementation ...

next page

Showing results 1-20

All JobsTechnology JobsBloomberg Quant Jobs

Bloomberg Quant information

See salary details

$45.5K

$139.5K

$282K

How much do bloomberg quant jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bloomberg quant in the United States is $139,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $174,000.00 per year, depending on experience, location, and employer.

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

How does a Bloomberg Quant typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

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

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

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

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

More about Bloomberg Quant jobs

What cities are hiring for Bloomberg Quant jobs?

Cities with the most Bloomberg Quant job openings:

What states have the most Bloomberg Quant jobs?

States with the most job openings for Bloomberg Quant jobs include:

What job categories do people searching Bloomberg Quant jobs look for?

The top searched job categories for Bloomberg Quant jobs are:

Bloomberg Quant jobs near you
Infographic showing various Bloomberg Quant job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 79% Physical, 12% Hybrid, and 9% Remote job distribution, with an average salary of $139,520 per year, or $67.1 per hour.

Senior Client Quant Specialist, Enterprise Sales - Bloomberg Financial Solutions

Bloomberg LP

New York, NY • On-site

$60.50 - $78/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior Client Quant Specialist, Enterprise Sales - Bloomberg Financial Solutions
Location
New York
Business Area
Sales and Client Service
Ref #
10053641
Description & Requirements
Quantitative investment and research workflows continue to evolve rapidly, driven by advances in cloud computing, open-source technologies, and artificial intelligence. Bloomberg is uniquely positioned at the intersection of financial markets, data, and technology, enabling investment professionals to build sophisticated quantitative workflows using trusted Bloomberg data and analytics.
The Senior Client Quant Specialist team works closely with Bloomberg clients to demonstrate how Bloomberg's quantitative solutions can address complex investment research and enterprise workflow requirements and to help clients implement these solutions using our Python-based quantitative development platform, BQuant Enterprise. Powered by JupyterLab, the platform combines cloud architecture, specialized workflow libraries, and the world's leading financial database, enabling our clients to generate unique quantitative research, develop and deploy sophisticated research and investment workflows at scale.
As a global team, we have specialists based in London, New York, San Francisco, São Paulo, Hong Kong, Singapore, Tokyo, and Sydney. We work collaboratively with our Sales team, CTO Office, and Engineering teams to deliver innovative solutions for our clients.
What's the role?
As a Senior Client Quant Specialist, you will work at the intersection of financial markets, quantitative research, and technology, partnering with Bloomberg's clients to solve complex quantitative and investment workflow challenges.
This is a highly client-facing pre-sales engineering role. You will partner closely with BQuant Sales team throughout the client lifecycle, from technical discovery and solution design to proof-of-concept development and adoption. You will engage with quantitative researchers, portfolio managers, data scientists, developers, and technology leaders to understand their investment and technology needs and translate them into scalable solutions leveraging Bloomberg's quantitative platform, data, APIs, and enterprise capabilities.
The role combines expertise in quantitative finance and Python with modern technologies including cloud computing, data architecture, APIs, and AI/ML. As LLMs and generative AI reshape financial research, you will also explore innovative use cases that bring together these technologies with Bloomberg's data and quantitative capabilities.
You will collaborate closely with CTO and Engineering, bringing client perspectives and emerging technology trends back into Bloomberg to help shape the future of our quantitative solutions.
We'll trust you to:
  • Partner with BQuant Sales team as a technical pre-sales quant specialist, helping identify, qualify, and progress opportunities for Bloomberg's quantitative solutions
  • Lead technical discovery with prospective clients to understand their business needs, data requirements, and technology architecture
  • Develop proofs of concept, prototypes, and technical demonstrations that translate client use cases into compelling solutions leveraging Bloomberg's quantitative platform, data, and enterprise capabilities
  • Understand clients' cloud and enterprise technology environments and demonstrate how Bloomberg solutions can integrate with cloud-based research, data, and analytics workflows across AWS, Azure, and Google Cloud
  • Partner closely with CTO and Engineering to translate client requirements and market trends into actionable product feedback and enhancements
  • Stay current with emerging technologies and industry trends, including the generative AI and LLM ecosystem and enterprise services such as Amazon Bedrock and Azure OpenAI

You will learn on the job:
  • Work at the intersection of quantitative finance, cloud technology, and AI, solving complex, real-world problems with sophisticated financial institutions
  • Gain exposure to how leading investment firms design and scale quantitative research, portfolio construction, and investment workflows across Equities, Fixed Income/Credit, FX, Commodities, and other asset classes
  • Build deep expertise in BQuant Enterprise, Bloomberg's data, analytics, APIs, and enterprise technology ecosystem
  • Apply and expand your expertise in Python, open-source technologies, data science, and advanced analytics, while exploring how LLM-powered workflows can transform quantitative research and investment processes
  • Collaborate with clients, CTO, and Engineering on complex use cases, bringing market insights back into Bloomberg and helping shape the evolution of our quantitative solutions

You'll need to have:
  • Minimum 5 years of relevant experience in pre-sales engineering, solutions engineering, technical consulting, quantitative finance, or an investment-related roleFront-office or buy-side experience working with quantitative researchers, portfolio managers, or investment teams, with knowledge of Equity, Fixed Income/Credit, or Macro quantitative investment strategies
  • Work experience with Python, SQL, Git/Github, as well as familiarity with AI technologies and cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with LLM APIs and enterprise generative AI services, such as Amazon Bedrock, Azure OpenAI, or similar technologies, is a plus.
  • A commercial and strategic mindset, with the ability to assess client needs, identify opportunities and connect technical solutions to business value
  • Highly articulate, consultative, and confident in interactions with clients
  • Comfortable working in a cross-functional environment, collaborating effectively across multiple teams and stakeholders

We'd love to see:
  • Experience working with large-scale financial datasets and modern data platforms
  • Experience applying machine learning, AI, or advanced analytics to financial market use cases
  • Familiarity with software engineering and deployment technologies such as Docker, CI/CD or Kubernetes
  • Knowledge of additional programming languages or analytical technologies such as R, Java, C#, React or Rust
  • Additional language skills relevant to the region, particularly Spanish or Portuguese, are a plus

Salary Range = 175,000 - 225,000 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.

What Bloomberg employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Bloomberg logo

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

View All Bloomberg Jobs

Apply