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Bloomberg Quant Jobs (NOW HIRING)

Model Validation Expert

Manhattan, NY · On-site

$145 - $175/hr

Operating at the intersection of quantitative analysis, regulatory compliance, and ESG data governance, you will ensure that Bloomberg's ESG Scoring models are fit for purpose, methodologically ...

Operating at the intersection of quantitative analysis, regulatory compliance, and ESG data governance, you will ensure that Bloomberg's ESG Scoring models are fit for purpose, methodologically ...

Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb). * Strong analytical and quantitative data skills; proficiency in Excel and at least one programming ...

Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb). * Strong analytical and quantitative data skills; proficiency in Excel and at least one programming ...

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Bloomberg Quant information

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$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:

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.

Model Validation Expert

Bloomberg

Manhattan, NY • On-site

$145 - $175/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


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

The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast — while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen.

About the Role

We’re looking for a Model Validation Expert to lead independent validation of Bloomberg’s ESG Scoring and analytics models. Sitting within the Chief Risk Office as second line of defense, you will play a critical role in executing independent model validation and strengthening the firm’s Model and Methodology Risk Management (MRM) program as Bloomberg navigates its obligations under ERR.

This is a senior technical role with a primary focus on ESG Scoring and ESG analytics models. You will assess the conceptual soundness, methodological integrity, implementation accuracy, and performance monitoring practices of Bloomberg’s ESG scoring and ratings methodologies. The role may also extend to related quantitative, AI/ML, and data-driven models across the firm.

Operating at the intersection of quantitative analysis, regulatory compliance, and ESG data governance, you will ensure that Bloomberg’s ESG Scoring models are fit for purpose, methodologically defensible, and aligned with both internal risk standards and ERR obligations. Your work will enable leadership to understand model limitations, assumptions, and risks — and to demonstrate to regulators and clients that Bloomberg’s ESG ratings are produced with rigor, transparency, and appropriate independent oversight.

Key Responsibilities
  • Lead independent end-to-end validations of Bloomberg’s ESG Scoring and analytics models
  • Assess ESG scoring methodologies for conceptual soundness, data source quality, weighting approaches, aggregation logic, and alignment with stated rating objectives — with specific attention to ERR disclosure and methodology transparency requirements
  • Evaluate Bloomberg’s compliance with ERR model-related obligations, including methodology documentation standards, and public disclosure requirements for ESG rating methodologies
  • Evaluate backtesting, benchmarking, sensitivity analysis, stress testing, and ongoing performance monitoring frameworks
  • Review model documentation to ensure transparency, reproducibility, and appropriate articulation of assumptions and limitations
  • Identify model risks arising from data dependencies, parameter instability, model drift, overfitting, bias, or inappropriate use
  • Issue clear validation findings, risk ratings, and actionable remediation recommendations
  • Monitor remediation plans and re‑validation activities to ensure sustainable risk reduction
  • Prepare and present validation conclusions to leadership committees and governance forums
  • Partner with Engineering, Product, Quants, and Risk Advisors to strengthen model development standards and lifecycle controls while maintaining independence
  • Contribute to the evolution of the firm’s model validation standards, methodologies, and best practices
  • Stay at the forefront of regulatory developments under ERR, emerging ESG data and analytics standards, and quantitative methods relevant to ESG scoring and model risk management
Required Qualifications
  • PhD in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, Econometrics, or related quantitative field
  • 10+ years of experience in quantitative modeling, model validation, or model risk management
  • Deep expertise in pricing, risk, statistical, and/or AI/ML models
  • Excellent programming skills (Python, C++ required; R, MATLAB, or similar a plus)
  • Demonstrated ability to independently challenge complex mathematical and machine learning models
  • Excellent communication skills with ability to translate technical findings into executive insights
  • Authorized to work in the United States
Preferred Qualifications
  • Familiarity with the EU ESG Ratings Regulation (ERR) and its model governance, methodology transparency, disclosure requirements, and broader knowledge of model risk frameworks (e.g., SR 11-7, SR 26‑2)
  • Experience engaging with regulators on model risk or ESG rating topics, including interactions with ESMA or national competent authorities under ERR
  • Relevant professional certifications (e.g., CFA, FRM)
  • Prior exposure to ESG data, sustainability frameworks (e.g., GRI, SASB, TCFD, ISSB/IFRS S1‑S2), or ESG ratings methodology development or review
Core Competencies
  • Strong intellectual curiosity, commitment to technical excellence, and ability to operate with integrity in a fast‑paced environment
  • Passion for advancing risk governance while enabling innovation in finance and technology
  • Exceptional analytical rigor and independent judgment
Salary and Benefits

Salary Range = 145,000-175,000 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.

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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