1 to 25 of 31 Refinitiv Jobs in England

knowledge (Cisco fundamentals, Fortinet firewalls, etc) Veeam backup (desirable) NetApp or similar Storage experience (desirable) Supporting Mitel telephone systems (desirable) Market Data experience - Bloomberg, Refinitiv, etc (desirable) SQL Server DB management & admin (desirable) What's in it for you? In return you'll be joining a business at a very More ❯

knowledge (Cisco fundamentals, Fortinet firewalls, etc) Veeam backup (desirable) NetApp or similar Storage experience (desirable) Supporting Mitel telephone systems (desirable) Market Data experience - Bloomberg, Refinitiv, etc (desirable) SQL Server DB management & admin (desirable) What's in it for you? In return you'll be joining a business at a very More ❯

a real difference. Relevant qualifications such as IOC/IMC are beneficial. Systems literacy (Advanced Excel & VBA/SQL essential) and knowledge of Bloomberg, Refinitiv, MSCI Products and Aladdin. Knowledge of sustainability data used by the asset management industry desired. Location: London Work Level: Experienced Colleague We have a diverse More ❯

European language would be a plus Bachelors degree in engineering or sciences Knowledge of competitive data feeds would be a plus Working knowledge of Refinitiv products would be a plus LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and More ❯

senior stakeholders. What you ll need: Strong experience supporting a trading floor or financial systems environment In-depth knowledge of Bloomberg, LSEG (Reuters/Refinitiv), IPC Dealerboards, Windows, Citrix, VDI, and Amulet Blade workstations Experience working with both Equities and FX products Excellent communication and problem-solving skills Ability to More ❯

senior stakeholders. What you’ll need: Strong experience supporting a trading floor or financial systems environment In-depth knowledge of Bloomberg, LSEG (Reuters/Refinitiv), IPC Dealerboards, Windows, Citrix, VDI, and Amulet Blade workstations Experience working with both Equities and FX products Excellent communication and problem-solving skills Ability to More ❯

desktop software, particularly Windows 11 and Office 365. Skilled in workstation hardware troubleshooting and assembly. Familiarity with market data applications such as Bloomberg and Refinitiv is advantageous. Additional Information: This role requires employees to work from the London office Monday to Friday. Equal Opportunity Employer: The firm is committed to More ❯

desktop software, particularly Windows 11 and Office 365. Skilled in workstation hardware troubleshooting and assembly. Familiarity with market data applications such as Bloomberg and Refinitiv is advantageous. Additional Information: This role requires employees to work from the London office Monday to Friday. Equal Opportunity Employer: The firm is committed to More ❯

environment. Strong proficiency with Microsoft Office 2011, Windows OS, and Microsoft 365. Solid experience in hardware support and troubleshooting. Experience supporting Bloomberg Terminal and Refinitiv applications. To discuss this exciting opportunity in more detail, please APPLY NOW for a no-obligation chat with your VIQU Consultant. Additionally, you can contact More ❯

proficiency with Microsoft Office 2011, Windows OS, and Microsoft 365 Solid experience in hardware support and troubleshooting Must have experience supporting Bloomberg Terminal and Refinitiv applications To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact More ❯

delivery. What You’ll Bring: Experience working with commodity data, particularly in Power, Gas, and Metals markets. Familiarity with market data providers like ZEMA, Refinitiv PointConnect, Bloomberg is highly desirable. Proficiency in analyzing real-time data and API connectivity (using tools such as Postman ). Strong troubleshooting skills with production More ❯

delivery. What You’ll Bring: Experience working with commodity data, particularly in Power, Gas, and Metals markets. Familiarity with market data providers like ZEMA, Refinitiv PointConnect, Bloomberg is highly desirable. Proficiency in analyzing real-time data and API connectivity (using tools such as Postman ). Strong troubleshooting skills with production More ❯

generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of More ❯

generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of More ❯

on-premises and cloud infrastructure with technologies and tooling such as Python, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset, and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter More ❯

SQL dialect (PostgreSQL, MySQL, MSSQL). Comfortable using the Linux command line for file manipulation, automation, and system monitoring. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) and ETL pipeline management is highly desirable. Prior exposure to supporting systems in a production trading environment is a strong advantage. Why More ❯

SQL dialect (PostgreSQL, MySQL, MSSQL). Comfortable using the Linux command line for file manipulation, automation, and system monitoring. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) and ETL pipeline management is highly desirable. Prior exposure to supporting systems in a production trading environment is a strong advantage. Why More ❯

issuer level reference data across various asset classes preferred. Experience with Market Data Management applications preferred. Experience with third party data vendors such as Refinitiv, ICE and Bloomberg a plus. 5-7 years' experience within a security master or reference data team revolving around a variety of asset classes. More ❯

Good understanding of market and reference datasets used in the valuation of OTC derivatives across asset classes. Familiarity with Market Data Providers such as Refinitiv, SIX Financial Information, etc. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we understand the More ❯

landscape within modern enterprise SaaS Applications including MS Azure, Snowflake, SQL, ETL tools, and machine learning models. Knowledge of data vendors such as Bloomberg, Refinitiv, MSCI, etc., other index and ESG data providers. Hands-on experience with at least one of the following systems - Simcorp Dimension, Blackrock Aladdin, Bloomberg AIM More ❯

including their risk/reward tradeoffs Understanding of market risk measures, concepts, and regulatory rules: VaR, stress testing, greeks, Volcker rule, CCAR Excel, Bloomberg, Refinitiv Eikon familiarity, and ability to pick up in-house systems Ability to code desirable Proven problem solving ability and control mindset Able to analyze and More ❯

party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or More ❯

party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or More ❯

years of experience with KDB+/q and real-time data processing Proficiency in shell scripting and experience with AWS cloud integration Familiarity with Refinitiv/Bloomberg market data and exposure to Python, Airflow, Observability, and CI/CD platforms Experience in maturing development practices within an agile-based team More ❯

asset classes and the trade lifecycle including - equities, fixed income, collective investment schemes, ETD and OTC derivatives. Previous exposure to Aladdin, Markit EDM, Bloomberg, Refinitiv and FactSet data sets. Ambitious, curious, aspires to make a significant difference. About Royal London Asset Management Royal London Asset Management (RLAM), part of the More ❯