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Quantitative Finance Technology Team Leader

Company: Bloomberg L.P.
Location: Princeton
Posted on: February 25, 2021

Job Description:

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world. Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world. Quantitative Finance Technology Team Leader

  • Quantitative Finance Technology Team Leader Quantitative Finance Technology Team Leader Princeton, NJ Posted Feb 19, 2021 - Requisition No. 88956 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 Global Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
    Our Team: The Bloomberg Intelligence (BI) Data Engineering team is responsible for building the systems that support the creation of critical market research. We see the impact of our work every day, whether it's using machine learning pipelines to estimate financial product data, architecting systems that translate to market-moving insights, or finding ways for our colleagues to more easily do their jobs. Our team works closely with the BI team to proactively identify client and business needs and build scalable solutions to meet them across our products.--
    We are looking for a tech-savvy, motivated Team Leader to lead this brand new team that sits at the intersection of building strategic infrastructure and developing critical business strategy. In this role, you will be expected to drive the development of Data products and content by leading your team of skilled technical financial data engineers and data scientists. This position requires extensive collaboration with global colleagues across all business units including Bloomberg Intelligence, Business Managers, News, Sales & Analytics, and Engineering. You are an exemplary collaborator, and a highly motivated and experienced leader who has a proven track record of defining and executing strategies.--
    We'll trust you to:
    • Design and implement a strategy for financial data science research and experimentation to support a team of data engineers and data scientists
    • Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors
    • Contribute to the design of investing strategies on economic predictions through multiple investing paradigms
    • Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds
    • Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts
    • Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes You'll need to have:
      • 2+ years of professional leadership experience with technical or skilled financial talent
      • 5+ years of experience in applied data analysis & prediction, preferably in an industry setting
      • Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
      • Demonstrably strong data science modeling intuition and feature engineering creativity
      • Expertise in applying statistical techniques for time-series measurement/estimation and prediction
      • Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
      • Experience specifying & managing requirements for datasets leveraged in your analyses
      • Working knowledge of SQL and common data science toolkits: Python, R, Spark
      • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
      • A portfolio of open-data analyses or data-driven research publications would be ideal 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.
        Bloomberg is committed to diversity. It drives our innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.
        We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.
        Quantitative Finance Technology Team Leader Princeton, NJ Posted Feb 19, 2021 - Requisition No. 88956 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 Global Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
        Our Team: The Bloomberg Intelligence (BI) Data Engineering team is responsible for building the systems that support the creation of critical market research. We see the impact of our work every day, whether it's using machine learning pipelines to estimate financial product data, architecting systems that translate to market-moving insights, or finding ways for our colleagues to more easily do their jobs. Our team works closely with the BI team to proactively identify client and business needs and build scalable solutions to meet them across our products.--
        We are looking for a tech-savvy, motivated Team Leader to lead this brand new team that sits at the intersection of building strategic infrastructure and developing critical business strategy. In this role, you will be expected to drive the development of Data products and content by leading your team of skilled technical financial data engineers and data scientists. This position requires extensive collaboration with global colleagues across all business units including Bloomberg Intelligence, Business Managers, News, Sales & Analytics, and Engineering. You are an exemplary collaborator, and a highly motivated and experienced leader who has a proven track record of defining and executing strategies.--
        We'll trust you to:
        • Design and implement a strategy for financial data science research and experimentation to support a team of data engineers and data scientists
        • Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors
        • Contribute to the design of investing strategies on economic predictions through multiple investing paradigms
        • Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds
        • Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts
        • Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes You'll need to have:
          • 2+ years of professional leadership experience with technical or skilled financial talent
          • 5+ years of experience in applied data analysis & prediction, preferably in an industry setting
          • Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
          • Demonstrably strong data science modeling intuition and feature engineering creativity
          • Expertise in applying statistical techniques for time-series measurement/estimation and prediction
          • Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
          • Experience specifying & managing requirements for datasets leveraged in your analyses
          • Working knowledge of SQL and common data science toolkits: Python, R, Spark
          • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
          • A portfolio of open-data analyses or data-driven research publications would be ideal 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.
            Bloomberg is committed to diversity. It drives our innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.
            We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.
            Please read our full terms & conditions before applying You understand and agree that your submission of this employment application does not obligate the Company (Bloomberg L.P., its subsidiaries, divisions and any affiliated entities, collectively "Bloomberg" or "the Company") to employ you, or to offer you employment. You also understand and agree that if you are hired for a position in the United States of America, you will be employed on an at-will basis, which means that: (a) your employment and compensation are not guaranteed for any definite period, and can be terminated, with or without cause, and with or without notice, by either the Company or yourself, and (b) no representative of the Company, other than a Management Committee Member, or their designee, may enter into any agreement or make any representation, written or oral, to alter your at will status or otherwise create a contractual obligation to you.
            Bloomberg is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability or any other classification protected by applicable law.
            Bloomberg, and designated service providers, may collect personal information directly from you, such as when you submit a job application, including without limitation your resume or CV, or create a job applicant profile, or from others authorized to provide the information. Such personal information may include your name, email address, postal address, account names and passwords, other contact information, signature, demographic information, or professional, employment-related, or education information. If you do not provide certain personal information, we may not be able to fully consider your application. Bloomberg and designated third parties may collect, process, use, store, and disclose this personal information for carefully considered business purposes which include some or all of the following:
            • to consider your suitability for employment;
            • to communicate with you;
            • for general statistical analysis and reporting purposes, including surveys and Bloomberg internal quality control purposes;
            • to enhance your experience with this Web site, including to save your preferences, login and profile information;
            • to analyze web site usage and analyze use of the Web site;
            • for legal or regulatory requests, process, or obligations;
            • to protect the interests, rights, safety, or property of Bloomberg or others; and
            • to operate our services, products, and systems properly. If you are offered a position of employment at Bloomberg, certain personal information submitted in your application may be made available in an internal employee directory or other tool, for business-related purposes.
              If you choose to provide any sensitive personal information or special category data in connection with your application, you expressly consent to the use, processing and disclosure of such sensitive personal information or special category data for the purposes for which you provide it.
              Personal information you provide is kept on secure servers. By submitting your application, you acknowledge that your personal information may be transferred to and processed by Bloomberg offices or third parties located outside the country in which you are based, including to and in the United States, and/or to and in other countries that may have different levels of privacy protection than your country. Bloomberg's Intra-Group Personal Data Protection Statement provides additional information about the transfer of personal information from the EU, EEA, and Switzerland to the United States and is available at http://www.bloomberg.com/iga-statement . If you have complaints about Bloomberg's processing of your personal information, you may have the right to contact the applicable supervisory authority.
              If we do not employ you at this time, we may retain and use the information that we obtain as part of your application process so as to be able to consider your application later if a suitable position becomes available, for general statistical analysis and reporting purposes, for legal or regulatory purposes, for the other purposes set out in these terms, and, if appropriate, to refer back to this application if you apply again. We will store your information for five years from the date of notification. If at any time you no longer want Bloomberg to consider your application, please let us know by reaching out to AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for, in which case your information will be stored securely consistent with our applicable retention policy and applicable law.
              If you are selected to proceed with the application process, you may be given or obtain access to non-public information that the Company considers to be of a confidential, proprietary, or trade secret nature ("Confidential Information"). You agree that you will not directly or indirectly disclose, copy, distribute, republish or allow any third party to have access to any Confidential Information, and that you will not use the Confidential Information for your own benefit or for the benefit of any third party.
              If you select a Bloomberg employee as a referral source when applying, or if at any point during the application process you or a Bloomberg employee subsequently identify a Bloomberg employee as your referral source, your referrer will receive notification of your progress through the recruitment process in accordance with our Employee Referral policy. Do not provide information about others unless you are authorized to do so and consent to have all information used, disclosed, and transferred in accordance with these terms. By submitting information about others, you represent and warrant that you are authorized to do so and that you have received authorization from the person about whom you are providing the information and that person has consented to have all information used, disclosed, and transferred in accordance with these terms.
              If you are offered a position of employment at Bloomberg, such offer and continued employment is contingent on the satisfactory results of a background search, where permissible under local law. In addition, you agree that you are not party to any agreement, or subject to any legal obligation, that would in any way restrict you, or interfere with your ability to fully perform the requirements of the job for which you are applying, and that you must disclose to the Company any such agreement or obligation before the Company considers your application.
              You are responsible for ensuring that the information you submit is accurate and up-to-date. Depending on the jurisdiction, you may review, update or request removal of your personal applicant/profile information at any time using this site or by AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. Depending on the jurisdiction, you may also have the right to request that we refrain from processing personal information. Please bear in mind that if you exercise such rights this may affect our ability to consider your application. Please note that it may take some time to process your request, consistent with applicable law. You also understand and agree that any misstatement, false information, or omission deemed significant by Bloomberg may disqualify you from consideration, and/or may be reason for discharge if discovered after an offer of employment has been extended to you.
              By clicking 'I Agree' and submitting your application, you consent to Bloomberg processing your data in the manner outlined above and agree that we may use third parties to verify your information. However, we will not seek any additional data from those third parties without your explicit prior consent.
              By applying for this job, you agree to the full terms of the above legal statement. Get an email when new listings match your search for: Criteria All jobs Settings Send updates End Alert Email Success Email alert created Connect , we'll use this information you provide to help us get in touch with you to align your expertise with our opportunities and better direct our conversations, or keep searching . Check your inbox for a link to activate this alert. The Bloomberg Talent Network Stay connected with us and be among the first to learn about new job opportunities. We'll use the information you provide to help us get in touch with you to align your expertise with our opportunities and better direct our conversations. Bloomberg, the global business and financial information and news leader, gives influential decision makers a critical edge by connecting them to a dynamic network of information, people and ideas. The company's strength - delivering data, news and analytics through innovative technology, quickly and accurately - is at the core of the Bloomberg Terminal. Bloomberg's enterprise solutions build on the company's core strength: leveraging technology to allow customers to access, integrate, distribute and manage data and information across organizations more efficiently and effectively. Use your LinkedIn account to access your profile: You have one or more applications created by recuiters on your behalf. Would you like to review them now? If you like to review them later, you can find them under 'Applications' tab in the 'My Profile' section. Enter the email address associated with your account and we will send you a new password. Or use your LinkedIn account to create and pre-fill your profile

Keywords: Bloomberg L.P., Trenton , Quantitative Finance Technology Team Leader, Hospitality & Tourism , Princeton, New Jersey

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