divOur Team:/divdivbr/divdivThe Global Securitized Products Data Team is responsible for researching and supporting a $12 trillion global securitized product market.nbsp; The securitized product market uses financial engineering to transform a variety of assets (residential and commercial mortgages, auto and equipment leases, managed corporate loan portfolios, credit card debt, and even music royalties) into securities that are structured to meet nearly any investor appetite.nbsp; Our team supports the full data lifecycle and analytical capabilities, through reverse financial engineering, of all securitized products globally for Bloomberg./divdivbr/divdivThis specific team, Securitized Products Client Engagement Team, focuses on supporting our clients workflows and building relationships with both external and internal stakeholders. There will be numerous initiatives where you will proactively engage with various market participants (Lead Managers, Trustees, Servicers, Issuers, Buy-Side, etc) to help us better procure the data we need and fully understand our clients data and analysis needs for Securitized Products.nbsp;/divdivbr/divdivbr/divdivWhats the role?/divdivbr/divdivAs a member of the Client Engagement team, this role emphasizes working closely with clients and across multiple teams to ensure our product is meeting current market needs and understanding future client needs. As the majority of our clients needs revolve around our new issuance data and monthly payment information, you will be responsible for timely onboarding of new issuance deals as well as creating and maintaining extraction processes designed to automate the capture of monthly bond payment data and troubleshooting any failures. You will pair your understanding of our data with customer and market needs to ensure data is fit for purpose, discoverable, and ready for use. This role provides an excellent pathway to building domain knowledge of Securitized Products, growing your internal amp; external networks, and opportunities to expand your technical expertise to influence various workflows that will allow you to grow your career in many directions within Securitized Products./divdivbr/divdivbr/divdivWell trust you to:/divdivulliBuild subject matter expertise to create stronger relationships with clients while improving our datas fit for purpose amp; discoverability/liliCommunicate with lead managers to properly create and update Securitized Product deals in a time-sensitive environment/liliMaintain automated monthly payment information ensuring the publishing of quality data./liliThoroughly review test failures and analyze internal workflows to identify potential opportunities for improved data quality controls/liliProvide industry leading customer service through our Help Desk. Leverage your understanding of our data to improve client interpretation of our data and predict their future needs/liliGather and analyze Help Desk data to generate insights. Opportunities to turn client feedback into product enhancementsnbsp;/liliPartner with stakeholders across Securitized Product Data, Engineering, and Business to support ad hoc initiatives that will expand or improve our data coverage/liliCollaborate across departments to improve client data discoverability through offerings such as Underwriter League Tables, Fixed Income NLP Securities Search, and various metadata management or data modeling projects/li/ul/divdivbr/divdivYoull need to have:/divdivulliBachelors degree in Finance, Business, Economics, Accounting, STEM or related degree/equivalent experience/lili4+ years of relevant work experience/liliLegal authorization to work in the US without visa sponsorship now and in the future/liliPassion for data, finance, and customer service/liliAbility to work independently as well as collaboratively within a team environment/liliStrong communication, attention to detail, and time management skills/liliProven understanding of customer service and engagement/liliAptitude for problem solving and the drive to think creatively/liliCommitment to improving data management through the collection, classification, and maintenance of our data/liliAbility to adapt to changing priorities and product needs/liliWorking proficiency with Microsoft Excel and comfortable with command line tools/li/ul/divdivbr/divdivWhat wed love to see:/divdivulliExperience with Unix, SQL, JIRA, and Python/liliExperience driving client engagement to support product needs/liliKnowledge or experience in the Fixed Income Markets, specifically Securitized Products/liliKnowledge of data management and data analysis practices/li/ul/divdivbr/divdivDoes this sound like you?/divdivbr/divdivApply if you think were a good match. Well get in touch to let you know what the next steps are!br/div Salary: 85000,105000,USD,Annual 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

Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. The Litigation Content team is looking for an individual to support our caselaw and dockets collections, as well as other traditional litigation content across the Bloomberg INDG platforms. You will be responsible for ensuring our data is complete, fit-for-purpose, and exceeds the high quality standards our clients expect. Ideal candidates will have exposure to the legal space and demonstrated technical proficiency. Well trust you to: + Apply your subject matter knowledge to maintain the timeliness, accuracy, and comprehensiveness of our content sets + Propose and develop creative solutions to evolving business problems + Optimize processes and increase efficiencies in our existing workflows + Collaborate closely with Product, Engineering, Sales & Service, and other Data teams You will need to have: + A Bachelors Degree, preferably in legal studies, political science, STEM, or related degree/equivalent experience + Legal authorization to work in the US without visa sponsorship now and in the future + 4+ years of relevant work experience + Exposure to XML, JavaScript, Python, and/or similar mark-up or programming languages, and an interest in developing your skills further + Excellent problem-solving skills and ability to pay close attention to detail + Strong written and verbal communication skills + Proven understanding of customer service and engagement + Self-starter attitude and the ability to work with a high-degree of autonomy We would love to see: + Prior legal experience, including familiarity with and understanding of electronic court records and document filing systems + Experience with textual data Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Salary: 85000,105000,USD,Annual 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

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, were 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 modelling 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. Well trust you to: + 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 Youll 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 Wed 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. Well get in touch to let you know what the next steps are. Salary: 85000,105000,USD,Annual 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

divOur Team:/divdivbr/divdivThe Global Securitized Products Data Team is responsible for researching and supporting a $12 trillion global securitized product market.nbsp; The securitized product market uses financial engineering to transform a variety of assets (residential and commercial mortgages, auto and equipment leases, managed corporate loan portfolios, credit card debt, and even music royalties) into securities that are structured to meet nearly any investor appetite.nbsp; Our team supports the full data lifecycle and analytical capabilities, through reverse financial engineering, of all securitized products globally for Bloomberg./divdivbr/divdivThis specific team, Securitized Products Client Engagement Team, focuses on supporting our clients workflows and building relationships with both external and internal stakeholders. There will be numerous initiatives where you will proactively engage with various market participants (Lead Managers, Trustees, Servicers, Issuers, Buy-Side, etc) to help us better procure the data we need and fully understand our clients data and analysis needs for Securitized Products.nbsp;/divdivbr/divdivbr/divdivWhats the role?/divdivbr/divdivAs a member of the Client Engagement team, this role emphasizes working closely with clients and across multiple teams to ensure our product is meeting current market needs and understanding future client needs. As the majority of our clients needs revolve around our new issuance data and monthly payment information, you will be responsible for timely onboarding of new issuance deals as well as creating and maintaining extraction processes designed to automate the capture of monthly bond payment data and troubleshooting any failures. You will pair your understanding of our data with customer and market needs to ensure data is fit for purpose, discoverable, and ready for use. This role provides an excellent pathway to building domain knowledge of Securitized Products, growing your internal amp; external networks, and opportunities to expand your technical expertise to influence various workflows that will allow you to grow your career in many directions within Securitized Products./divdivbr/divdivbr/divdivWell trust you to:/divdivulliBuild subject matter expertise to create stronger relationships with clients while improving our datas fit for purpose amp; discoverability/liliCommunicate with lead managers to properly create and update Securitized Product deals in a time-sensitive environment/liliMaintain automated monthly payment information ensuring the publishing of quality data./liliThoroughly review test failures and analyze internal workflows to identify potential opportunities for improved data quality controls/liliProvide industry leading customer service through our Help Desk. Leverage your understanding of our data to improve client interpretation of our data and predict their future needs/liliGather and analyze Help Desk data to generate insights. Opportunities to turn client feedback into product enhancementsnbsp;/liliPartner with stakeholders across Securitized Product Data, Engineering, and Business to support ad hoc initiatives that will expand or improve our data coverage/liliCollaborate across departments to improve client data discoverability through offerings such as Underwriter League Tables, Fixed Income NLP Securities Search, and various metadata management or data modeling projects/li/ul/divdivbr/divdivYoull need to have:/divdivulliBachelors degree in Finance, Business, Economics, Accounting, STEM or related degree/equivalent experience/lili4+ years of relevant work experience/liliLegal authorization to work in the US without visa sponsorship now and in the future/liliPassion for data, finance, and customer service/liliAbility to work independently as well as collaboratively within a team environment/liliStrong communication, attention to detail, and time management skills/liliProven understanding of customer service and engagement/liliAptitude for problem solving and the drive to think creatively/liliCommitment to improving data management through the collection, classification, and maintenance of our data/liliAbility to adapt to changing priorities and product needs/liliWorking proficiency with Microsoft Excel and comfortable with command line tools/li/ul/divdivbr/divdivWhat wed love to see:/divdivulliExperience with Unix, SQL, JIRA, and Python/liliExperience driving client engagement to support product needs/liliKnowledge or experience in the Fixed Income Markets, specifically Securitized Products/liliKnowledge of data management and data analysis practices/li/ul/divdivbr/divdivDoes this sound like you?/divdivbr/divdivApply if you think were a good match. Well get in touch to let you know what the next steps are!br/div Salary: 85000,105000,USD,AnnualBloomberg 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

Our Team: The Global Securitized Products Data Team is responsible for researching and supporting a $12 trillion global securitized product market. The securitized product market uses financial engineering to transform a variety of assets (residential and commercial mortgages, auto and equipment leases, managed corporate loan portfolios, credit card debt, and even music royalties) into securities that are structured to meet nearly any investor appetite. Our team supports the full data lifecycle and analytical capabilities, through reverse financial engineering, of all securitized products globally for Bloomberg. The Securitized Products Assets Team focuses on extracting, normalizing, and loading collateral data to the Bloomberg Terminal. To do so, the team uses Python to navigate complex ETL workflows to ensure that data across various sectors is modeled and managed properly within our loans database. This database drives collateral information for data license, enterprise data, and the screens on the Bloomberg terminal which gives clients access to granular information that allows them to make empowered investment decisions. The team works closely with all of our other Securitized Products teams as well as our Engineering and Business Product counterparts. Whats the Role? You will be responsible for both creating and maintaining sustainable extraction, transformation, and loading processes for raw collateral data onto our system for sectors such as Collateralized Loan Obligations (CLO), Residential Mortgage-Backed Securities (RMBS), Commercial Mortgage-Backed Securities (CMBS), and various Asset Backed Securities (ABS, Credit Card, Auto, SLABS). You will need to leverage python skills to initiate the ETL processes in conjunction with loan amortization knowledge to properly derive and calculate various data points regarding collections. You will also monitor monthly collateral payment updates and evaluate deals with loans outside of specified thresholds to ensure quality is within our clients expectations, as well as troubleshooting any ETL failures and implementing the appropriate code changes. You will also have the opportunity to participate in larger coverage expansion initiatives for previously unsupported loan types. This involves performing necessary market and analytical research to ensure proper functionality from both a workflow and data ingestion standpoint, as well as working closely with engineering and business to implement. There are also opportunities to analyze bulk collateral data sets for various clean-up efforts and implement solutions to clean that data both historically and sustainably moving forward. Well trust you to: + Analyze our loan database extraction processes to find opportunities for efficiencies and providing increased value to external and internal clients + Ensure a high degree of data quality as you maintain, build, and enhance our ETL process + Evaluate monthly quality test failures for deals with loans outside of specified thresholds + Debugging collateral extraction failures on a monthly basis + Onboarding collateral datasets for Securitized Product deals at issuance on a daily basis + Analyze internal processes to identify potential opportunities for improvement + Understand customer needs and Securitized Products markets to ensure our collateral datasets and processes are fit-for-purpose to provide ready to use information + Communicate and collaborate across teams both within Securitized Products and with our various partners in Engineering, Data, and Product Youll need to have: + Bachelors degree in Finance, Business, Economics, Accounting, STEM or related degree/equivalent experience + 4+ years of relevant work experience + Legal authorization to work in the US without visa sponsorship now and in the future + Working proficiency with Microsoft Excel and comfortable with command line tools + Familiarity with reading and writing code (Python preferred) + Project management skills and the ability to multitask in a fast-paced environment + Ability to work independently as well as collaboratively in a team environment + Ability to adapt to changing priorities and product needs Wed love to see: + Knowledge or experience in Securitized Products + Knowledge of collateral amortization or collateral underwriting in a Securitized Product sector + Experience working in GitHub and submitting pull requests + Understanding of Data Management and Data Analysis best practices + Experience working in an Agile/Scrum environment + Willingness to train and mentor others Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Salary: 85000,105000,USD,AnnualBloomberg 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

Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. Our group within the Data department provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge with world-class technology. As a member of the Data Enrichment team, you will have the opportunity to function as a subject matter authority in all areas of the law for our BCITE product, providing the legal insights our customers require. You will work with our business partners to ensure our caselaw data meets the high quality standards our clients expect, providing timely and accurate analytics. You will also have the unique opportunity to partner with engineering and machine learning experts to explore new technologies with an eye towards innovation and evolution of the product. Our group offers a distinctive and prestigious alternative legal career for current lawyers which allows you to blend your passion for the law with technical know-how, eye for business, and data analysis. We are looking for innovative and energetic individuals who proactively tackle problems on a large scale while still maintaining attention to detail. What's in it for you: <ul><li>You'll contribute to developing and maintaining the BLAW platform </li><li>Youll belong to a team responsible for analyzing court opinions and transactional documents on BLAW and developing our Citator product </li><li>Youll benefit from Bloomberg's dynamic and collaborative environment and contribute to creating new technology-driven solutions for legal professionals </li><li>Well invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunities </li></ul> Well trust you to: <ul><li>Analyze caselaw, agency, and transactional documents becoming a legal subject-matter guide with the ability to drive technical solutions internally </li><li>Manage vendor teams to ensure quality performance and adherence to SLAs </li><li>Collaborate with fellow legal data analysts, Engineering, and Bloomberg Industry Group staff to devise creative solutions to technical challenges </li><li>Find opportunities for increased efficiency in our existing workflows and processes to make a business impact </li><li>Collaborate closely with partners to bring together requirements, scope, and develop project plans </li></ul> You'll need to have: <ul><li>Graduated with a Juris Doctor (JD) degree from an accredited law school </li><li>Passed a state bar examination and either have been admitted, or be pending admission </li><li>Familiarity with online legal research tools (experience with the BLAW product is a plus) </li><li>Strong analytical, written, and presentation skills </li><li>Willingness to travel internationally </li><li>Legal authorization to work in the US without visa sponsorship now and in the future </li></ul> We'd love to see: <ul><li>Professional work experience in the legal field. Ideal candidates will have 1 to 3 years of professional work experience with a demonstrated aptitude for legal research and analysis and creative problem-solving. Judicial clerkships are a plus </li><li>A keen interest in building your technology knowledge and skills, including having a desire to learn data analysis tools, such as Excel and/or Python </li><li>Experience with process reengineering, or with improving/enhancing an existing process </li><li>Intellectual curiosity with a willingness to challenge oneself and peers to drive innovation of thought </li></ul> Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. Our group within the Data department provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge with world-class technology.As a member of the Data Enrichment team, you will have the opportunity to function as a subject matter authority in all areas of the law for our BCITE product, providing the legal insights our customers require. You will work with our business partners to ensure our caselaw data meets the high quality standards our clients expect, providing timely and accurate analytics. You will also have the unique opportunity to partner with engineering and machine learning experts to explore new technologies with an eye towards innovation and evolution of the product.Our group offers a distinctive and prestigious alternative legal career for current lawyers which allows you to blend your passion for the law with technical know-how, eye for business, and data analysis. We are looking for innovative and energetic individuals who proactively tackle problems on a large scale while still maintaining attention to detail.What's in it for you:You'll contribute to developing and maintaining the BLAW platformYoull belong to a team responsible for analyzing court opinions and transactional documents on BLAW and developing our Citator productYoull benefit from Bloomberg's dynamic and collaborative environment and contribute to creating new technology-driven solutions for legal professionalsWell invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunitiesWell trust you to:Analyze caselaw, agency, and transactional documents becoming a legal subject-matter guide with the ability to drive technical solutions internallyManage vendor teams to ensure quality performance and adherence to SLAsCollaborate with fellow legal data analysts, Engineering, and Bloomberg Industry Group staff to devise creative solutions to technical challengesFind opportunities for increased efficiency in our existing workflows and processes to make a business impactCollaborate closely with partners to bring together requirements, scope, and develop project plansYou'll need to have:Graduated with a Juris Doctor (JD) degree from an accredited law schoolPassed a state bar examination and either have been admitted, or be pending admissionFamiliarity with online legal research tools (experience with the BLAW product is a plus)Strong analytical, written, and presentation skillsWillingness to travel internationallyLegal authorization to work in the US without visa sponsorship now and in the futureWe'd love to see:Professional work experience in the legal field. Ideal candidates will have 1 to 3 years of professional work experience with a demonstrated aptitude for legal research and analysis and creative problem-solving. Judicial clerkships are a plusA keen interest in building your technology knowledge and skills, including having a desire to learn data analysis tools, such as Excel and/or PythonExperience with process reengineering, or with improving/enhancing an existing processIntellectual curiosity with a willingness to challenge oneself and peers to drive innovation of thoughtDoes this sound like you?Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.Salary: 80000,90000,USD,AnnualBloomberg 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

Our Team:The Global Securitized Products Data Team is responsible for researching and supporting a $12 trillion global securitized product market. The securitized product market uses financial engineering to transform a variety of assets (residential and commercial mortgages, auto and equipment leases, managed corporate loan portfolios, credit card debt, and even music royalties) into securities that are structured to meet nearly any investor appetite. Our team supports the full data lifecycle and analytical capabilities, through reverse financial engineering, of all securitized products globally for Bloomberg.The Securitized Products Assets Team focuses on extracting, normalizing, and loading collateral data to the Bloomberg Terminal. To do so, the team uses Python to navigate complex ETL workflows to ensure that data across various sectors is modeled and managed properly within our loans database. This database drives collateral information for data license, enterprise data, and the screens on the Bloomberg terminal which gives clients access to granular information that allows them to make empowered investment decisions. The team works closely with all of our other Securitized Products teams as well as our Engineering and Business Product counterparts.Whats the Role?You will be responsible for both creating and maintaining sustainable extraction, transformation, and loading processes for raw collateral data onto our system for sectors such as Collateralized Loan Obligations (CLO), Residential Mortgage-Backed Securities (RMBS), Commercial Mortgage-Backed Securities (CMBS), and various Asset Backed Securities (ABS, Credit Card, Auto, SLABS). You will need to leverage python skills to initiate the ETL processes in conjunction with loan amortization knowledge to properly derive and calculate various data points regarding collections. You will also monitor monthly collateral payment updates and evaluate deals with loans outside of specified thresholds to ensure quality is within our clients expectations, as well as troubleshooting any ETL failures and implementing the appropriate code changes.You will also have the opportunity to participate in larger coverage expansion initiatives for previously unsupported loan types. This involves performing necessary market and analytical research to ensure proper functionality from both a workflow and data ingestion standpoint, as well as working closely with engineering and business to implement. There are also opportunities to analyze bulk collateral data sets for various clean-up efforts and implement solutions to clean that data both historically and sustainably moving forward.Well trust you to:Analyze our loan database extraction processes to find opportunities for efficiencies and providing increased value to external and internal clientsEnsure a high degree of data quality as you maintain, build, and enhance our ETL processEvaluate monthly quality test failures for deals with loans outside of specified thresholdsDebugging collateral extraction failures on a monthly basisOnboarding collateral datasets for Securitized Product deals at issuance on a daily basisAnalyze internal processes to identify potential opportunities for improvementUnderstand customer needs and Securitized Products markets to ensure our collateral datasets and processes are fit-for-purpose to provide ready to use informationCommunicate and collaborate across teams both within Securitized Products and with our various partners in Engineering, Data, and ProductYoull need to have:Bachelors degree in Finance, Business, Economics, Accounting, STEM or related degree/equivalent experience4+ years of relevant work experienceLegal authorization to work in the US without visa sponsorship now and in the futureWorking proficiency with Microsoft Excel and comfortable with command line toolsFamiliarity with reading and writing code (Python preferred)Project management skills and the ability to multitask in a fast-paced environmentAbility to work independently as well as collaboratively in a team environmentAbility to adapt to changing priorities and product needsWed love to see:Knowledge or experience in Securitized ProductsKnowledge of collateral amortization or collateral underwriting in a Securitized Product sectorExperience working in GitHub and submitting pull requestsUnderstanding of Data Management and Data Analysis best practicesExperience working in an Agile/Scrum environmentWillingness to train and mentor othersDoes this sound like you?Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!Salary: 85000,105000,USD,AnnualBloomberg 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

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, were 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 modelling 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. Well trust you to: + 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 Youll 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 Wed 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. Well get in touch to let you know what the next steps are. Salary: 85000,105000,USD,AnnualBloomberg 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

Data Analyst Jobs in Skillman, NJ

Senior Data Analyst Client Engagement Securitized Products
December 21, 2024

Senior Data Analyst Litigation Content
December 14, 2024

Senior Data Analyst Money Markets Data
December 12, 2024

Senior Data Analyst Client Engagement Securitized Products
December 9, 2024

Senior Data Analyst Securitized Products Collateral Assets Data
December 9, 2024

Legal Data Analyst Data Enrichment
December 7, 2024

Legal Data Analyst Data Enrichment
December 5, 2024

Senior Data Analyst Securitized Products Collateral Assets Data
December 5, 2024

Senior Data Analyst Money Markets Data
December 4, 2024

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Data Analyst Jobs in Skillman, NJ

Senior Data Analyst Client Engagement Securitized ProductsDecember 21, 2024

Senior Data Analyst Litigation ContentDecember 14, 2024

Senior Data Analyst Money Markets DataDecember 12, 2024

Senior Data Analyst Client Engagement Securitized ProductsDecember 9, 2024

Senior Data Analyst Securitized Products Collateral Assets DataDecember 9, 2024

Legal Data Analyst Data EnrichmentDecember 7, 2024

Legal Data Analyst Data EnrichmentDecember 5, 2024

Senior Data Analyst Securitized Products Collateral Assets DataDecember 5, 2024

Senior Data Analyst Money Markets DataDecember 4, 2024