Bloomberg L.P.
Senior Data Analyst - Money Markets Data
Bloomberg L.P., Trenton, New Jersey, United States,
Senior Data Analyst - Money Markets Data in Skillman, New Jersey
At Bloomberg, our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we’re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.Our Team:In 2023, US Money Market Funds (MMF) held $6.1 trillion in AUM and Non-US MMFs held an additional $1.2 trillion in AUM. This is a growing market given the increased rates environment and fund inflows have reached all-time levels. As a result, we have seen higher demand for this data from clients and are creating a new dedicated global Money Markets data team to address the opportunities in this space.What's the Role?As a Data Analyst with our team, you will be responsible for the acquisition, maintenance, and quality assurance of money markets instruments data. This will entail engagement with Issuers and Dealers to source and validate data, close collaboration with the data engineers on the team to ensure automated processes work as expected, provide support to clients with complex data queries, and work on various data quality and data modeling projects. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients stay on top of developments within Money Markets globally.You're the type of person who looks beyond the headline with a keen eye for detail because you know how data inspires market trends, breaking news, and analysis. With ever-increasing coverage and demand for timely data, you will be responsible for managing priorities of different initiatives and for utilizing industry knowledge to help drive decisions and generate new dataset offerings. You will need to know your customer, their challenges, and their workflows. With this insight, you will bring creative ideas to the table on how we can make our data integration seamless and more efficient.We’ll trust you to:Have knowledge in Fixed income and an interest in Money Markets specifically.Have experience working with data and have an understanding about data quality best practices.Liaise with Clearing Houses, Central Banks, Exchanges, Dealers, and Issuers to ensure comprehensive and accurate data offering.Effectively collaborate with other internal departments, such as but not limited to Product, Engineering, and News on dataset product development initiatives.Develop expertise in local markets across the Americas.Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement solutions to enhance our processes/overall product strategy.Collaborate with Sales to promote Money Markets data using the relevant subject matter expertise, and use knowledge gained from client interactions to enhance the dataset.Assist our world-renowned client support help desk with client inquiries.Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions.You’ll need to have:Minimum 4+ years of experience working with financial data, preferably within the Fixed income asset class.Legal authorization to work in the US without visa sponsorship now and in the future.Demonstrated data management experience such as running data quality initiatives, overseeing data governance, implementing best practices with regards to data acquisition and updates.Experience in client engagement and excellent written and verbal communication skills especially when explaining technical processes and solutions to business partners and management.Proficiency in English. Knowledge of Spanish and/or Portuguese a plus.A bachelor's degree or higher in data technology or financial field, or degree-equivalent qualification.Be comfortable with a high degree of autonomy and managing priorities from multiple internal and external partners.Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems.Strong collaboration skills and experience working as part of a multi-location team.We’d love to see:Project management experience, particularly in Agile framework.Interest in technology.Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel. Experience in SQL and/or Python is a plus.Strong communication and interpersonal skills.Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
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At Bloomberg, our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we’re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.Our Team:In 2023, US Money Market Funds (MMF) held $6.1 trillion in AUM and Non-US MMFs held an additional $1.2 trillion in AUM. This is a growing market given the increased rates environment and fund inflows have reached all-time levels. As a result, we have seen higher demand for this data from clients and are creating a new dedicated global Money Markets data team to address the opportunities in this space.What's the Role?As a Data Analyst with our team, you will be responsible for the acquisition, maintenance, and quality assurance of money markets instruments data. This will entail engagement with Issuers and Dealers to source and validate data, close collaboration with the data engineers on the team to ensure automated processes work as expected, provide support to clients with complex data queries, and work on various data quality and data modeling projects. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients stay on top of developments within Money Markets globally.You're the type of person who looks beyond the headline with a keen eye for detail because you know how data inspires market trends, breaking news, and analysis. With ever-increasing coverage and demand for timely data, you will be responsible for managing priorities of different initiatives and for utilizing industry knowledge to help drive decisions and generate new dataset offerings. You will need to know your customer, their challenges, and their workflows. With this insight, you will bring creative ideas to the table on how we can make our data integration seamless and more efficient.We’ll trust you to:Have knowledge in Fixed income and an interest in Money Markets specifically.Have experience working with data and have an understanding about data quality best practices.Liaise with Clearing Houses, Central Banks, Exchanges, Dealers, and Issuers to ensure comprehensive and accurate data offering.Effectively collaborate with other internal departments, such as but not limited to Product, Engineering, and News on dataset product development initiatives.Develop expertise in local markets across the Americas.Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement solutions to enhance our processes/overall product strategy.Collaborate with Sales to promote Money Markets data using the relevant subject matter expertise, and use knowledge gained from client interactions to enhance the dataset.Assist our world-renowned client support help desk with client inquiries.Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions.You’ll need to have:Minimum 4+ years of experience working with financial data, preferably within the Fixed income asset class.Legal authorization to work in the US without visa sponsorship now and in the future.Demonstrated data management experience such as running data quality initiatives, overseeing data governance, implementing best practices with regards to data acquisition and updates.Experience in client engagement and excellent written and verbal communication skills especially when explaining technical processes and solutions to business partners and management.Proficiency in English. Knowledge of Spanish and/or Portuguese a plus.A bachelor's degree or higher in data technology or financial field, or degree-equivalent qualification.Be comfortable with a high degree of autonomy and managing priorities from multiple internal and external partners.Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems.Strong collaboration skills and experience working as part of a multi-location team.We’d love to see:Project management experience, particularly in Agile framework.Interest in technology.Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel. Experience in SQL and/or Python is a plus.Strong communication and interpersonal skills.Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
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