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Refinitiv Jobs (NOW HIRING)

Hermitage Infotech

Golden Source Consultant

Edison, NJ · On-site

Market Data Vendors - BBG, Refinitiv, Ratings Agencies (Moody, S&P) * GoldenSource Exp. (Implemenation/configuration), SQL Exp. * Security Master /Reference Data Exp.; Data Mastering, Data Profiling ...

Winaxis

.Net Developer

Dallas, TX · On-site

$60/hr

... Refinitiv, ICE. - Cloud (Azure/AWS), containerization (Docker/Kubernetes). - Messaging frameworks (Kafka, RabbitMQ). --- Other Requirements: - Must have long project tenures and strong communication ...

The Harrison Rush Group

Vice President

Manhattan, NY

Expert proficiency in financial databases (e.g., Bloomberg, Refinitiv) and presentation tools (PowerPoint, Excel). Professional Attributes * Exceptional presence and presentation skills; ability to ...

Schonfeld

Market Data Analyst

New York, NY

$120K - $150K/yr

Hands-on experience with Bloomberg EMRS, Refinitiv DACS, and Optimize Spend * SQL and/or scripting experience is a plus * Enthusiasm for leveraging AI tools to improve productivity and decision ...

Schonfeld

Market Data Analyst

New York, NY · On-site

$120K - $150K/yr

Hands-on experience with Bloomberg EMRS, Refinitiv DACS, and Optimize Spend * SQL and/or scripting experience is a plus * Enthusiasm for leveraging AI tools to improve productivity and decision ...

The Harrison Rush Group

Vice President

Manhattan, NY · On-site

Expert proficiency in financial databases (e.g., Bloomberg, Refinitiv) and presentation tools (PowerPoint, Excel). Professional Attributes * Exceptional presence and presentation skills; ability to ...

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How much do refinitiv jobs pay per hour?

As of May 31, 2026, the average hourly pay for refinitiv in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a Refinitiv job?

A Refinitiv job typically refers to a role at Refinitiv, a global provider of financial market data and infrastructure. Jobs at Refinitiv span various fields, including financial analysis, technology, data science, sales, and customer support. Employees work on delivering data, insights, and technology to financial market professionals. Refinitiv was previously part of Thomson Reuters and is now owned by the London Stock Exchange Group (LSEG).

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

To thrive as a Refinitiv Data Analyst, you need strong analytical abilities, a background in finance or economics, and proficiency with data management, typically supported by a relevant degree. Familiarity with Refinitiv Eikon, Excel, and data visualization or analytics tools like Power BI or SQL is highly valued. Attention to detail, effective communication, and problem-solving skills help you interpret complex data sets and collaborate across teams. These capabilities are essential to ensure accurate data insights, informed decision-making, and effective delivery of Refinitiv's financial solutions.

What are some typical challenges faced by professionals working at Refinitiv, and how can new hires best prepare for them?

Professionals at Refinitiv often work with large, complex sets of financial data and must stay current with rapidly evolving market technologies. New hires may find it challenging to adapt to the fast-paced environment and the high expectations for accuracy and analytical insight. Building proficiency with Refinitiv's proprietary tools and platforms, proactively seeking support from experienced colleagues, and committing to continuous learning are key ways to overcome these challenges and succeed in the role.

What is Refinitiv and what does the company do?

Refinitiv is a global provider of financial market data and infrastructure. The company offers data, analytics, trading, and risk assessment tools to financial professionals, including banks, investment managers, and corporations. Refinitiv's services help clients make informed investment decisions, manage risk, and comply with regulatory requirements. It was previously part of Thomson Reuters and is now owned by the London Stock Exchange Group (LSEG).

What is the difference between Refinitiv vs Financial Data Analyst?

AspectRefinitivFinancial Data Analyst
Primary RoleProvides financial data, analytics, and market information using Refinitiv platformsAnalyzes financial data to support investment decisions and reporting
Required SkillsData management, financial markets knowledge, proficiency with Refinitiv toolsFinancial modeling, data analysis, Excel, and reporting skills
Work EnvironmentFinancial services, data providers, market research firmsBanks, investment firms, asset management companies
CertificationsOften requires finance or data-related certifications; familiarity with Refinitiv platformFinance certifications like CFA, CPA, or similar; strong Excel and analytical skills

Refinitiv is a data provider offering platforms and tools for financial information, while a Financial Data Analyst interprets and analyzes this data to support business decisions. Both roles require financial knowledge, but Refinitiv focuses on data delivery, whereas the analyst role emphasizes analysis and reporting.

More about Refinitiv jobs
What cities are hiring for Refinitiv jobs? Cities with the most Refinitiv job openings:
What are the most commonly searched types of Refinitiv jobs? The most popular types of Refinitiv jobs are:
What states have the most Refinitiv jobs? States with the most job openings for Refinitiv jobs include:
Refinitiv jobs near you
Infographic showing various Refinitiv job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 62% Physical, 33% Hybrid, and 5% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Market Data Finance Analyst

Verition Group LLC

New York, NY

Other

Posted 4 days ago

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a highly motivated Market Data Finance Analyst to join our growing firm. This role sits under the office of the CFO supporting investment teams by managing, optimizing, and scaling market data infrastructure across asset classes. The ideal candidate combines strong analytical skills with a deep understanding of financial data, vendors, and inventory management.

Key Responsibilities

  • Manage relationships with market data vendors (e.g., Bloomberg, Refinitiv, ICE, FactSet), including licensing, onboarding, and cost optimization
  • Partner with portfolio managers, analysts, and quants to source, onboard, and maintain high-quality datasets across equities, fixed income, commodities, and derivatives
  • Oversee entitlements, usage tracking, and compliance with vendor agreements
  • Monitor data quality, troubleshoot discrepancies, and implement controls to ensure data integrity
  • Drive cost transparency and budgeting around market data spend; identify opportunities for consolidation and efficiency
  • Support new strategy launches by evaluating and provisioning required datasets and infrastructure
  • Maintain documentation of data sources, workflows, and governance processes

Qualifications

  • 2-6 years of experience in market data, data operations, or a related function within a hedge fund, asset manager, or financial services firm
  • Strong familiarity with major market data vendors and data products (pricing, reference data, fundamentals, alt data)
  • Understanding of financial instruments across multiple asset classes
  • Experience working with data delivery methods (APIs, SFTP, feeds) and basic data structures
  • Proficiency in SQL and/or Python for data analysis and troubleshooting
  • Strong attention to detail with a focus on data quality and control frameworks
  • Ability to manage multiple stakeholders in a fast-paced, front-office environment

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