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Refinitiv Jobs (NOW HIRING)

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 ...

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 ...

Exposure to Bloomberg, Refinitiv, FactSet, Aladdin, OMS/EMS, or market-data platforms If interested, please share: ✔ Updated Resume ✔ Current Location ✔ Work Authorization ✔ Contact Number ...

New

Exposure to Bloomberg, Refinitiv, FactSet, Aladdin, OMS/EMS, or market-data platforms If interested, please share: ✔ Updated Resume ✔ Current Location ✔ Work Authorization ✔ Contact Number ...

New

Experience working with Bloomberg, LSEG/Refinitiv, FactSet, ICE, Nasdaq, NYSE, Cboe, or similar market data providers or exchanges. * Background in market data licensing, entitlements, vendor ...

New

Day-to-day use of Westlaw/LexisNexis , Refinitiv World-Check/Dow Jones Risk & Compliance , and CUBE * Strong analytical thinking and writing skills Compensation & Legal * Task Completion Pay:

Experience working with Bloomberg, LSEG/Refinitiv, FactSet, ICE, Nasdaq, NYSE, Cboe, or similar market data providers or exchanges. * Background in market data licensing, entitlements, vendor ...

New

Day-to-day use of Westlaw/LexisNexis , Refinitiv World-Check/Dow Jones Risk & Compliance , and CUBE * Strong analytical thinking and writing skills Compensation & Legal * Task Completion Pay:

.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 ...

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

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 ...

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Refinitiv information

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How much do refinitiv jobs pay per hour?

As of Jun 25, 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 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 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 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 jobs in the US pay 300,000 a year?

In the US, high-paying roles such as senior investment bankers, chief technology officers, and specialized physicians can earn $300,000 or more annually. These positions typically require extensive experience, advanced skills, and often involve leadership responsibilities or specialized certifications.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day typically include roles such as senior financial traders, specialized consultants, or certain executive positions in finance, law, or technology. These roles often require advanced skills, extensive experience, and sometimes certifications, and may involve high-pressure environments or significant responsibilities.

What job makes $10,000 a month without a degree?

High-paying sales roles, such as real estate brokers or insurance agents, can earn $10,000 or more monthly through commissions and performance. Skilled traders, such as forex or stock traders, may also reach this income level without a degree, but they require significant expertise, risk management, and often access to trading platforms. Success in these fields depends on experience, network, and market conditions.

What does the Refinitiv do?

Refinitiv is a financial data provider that offers real-time and historical market data, analytics, and trading solutions to financial professionals. Employees in related roles often work with data analysis, financial software, and industry regulations to support investment decisions and risk management.

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.

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 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:
Infographic showing various Refinitiv job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Lead Data Architect - Cloud & Analytics

Lead Data Architect - Cloud & Analytics

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Posted 29 days ago


Job description

We're looking for a Lead Data Architect to design and evolve a modern cloud data platform supporting investment and analytics workflows. This role combines hands-on architecture with strategic leadership and is ideal for someone who has successfully led enterprise data modernization initiatives.

You'll partner with business and technical teams to shape data strategy, guide platform decisions, and build scalable solutions that support critical decision-making. This is a highly visible role requiring both technical depth and the ability to influence stakeholders.

What You'll Do
  • Architect scalable cloud data platforms for analytics and operational use

  • Design enterprise data models and data pipelines

  • Lead modernization of legacy data environments

  • Evaluate and integrate data vendors and platforms

  • Partner with business stakeholders to translate requirements into technical architecture

  • Establish architecture standards, governance, and best practices

  • Mentor engineers and elevate technical capabilities across teams

  • Drive adoption of modern data tools and frameworks

Required Qualifications
  • 8+ years of experience in data engineering, architecture, or platform engineering

  • Strong hands-on experience with Snowflake or similar cloud data platform

  • Experience designing and implementing enterprise data architectures

  • Proven track record leading modernization or transformation initiatives

  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders

  • Experience working with complex or high-volume data environments

Preferred Experience
  • Exposure to financial, investment, or analytical data ecosystems

  • Experience integrating market or enterprise data vendors (FactSet, Bloomberg, Refinitiv, etc.)

  • Familiarity with front office or operational analytics workflows

  • Experience with dbt, orchestration tools, or modern data stack frameworks

  • Vendor/platform evaluation or selection experience

  • Background mentoring engineers or leading technical initiatives