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Product Manager, Enterprise Data - Systematic/Quant Credit

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Bloomberg LP

Aug 27

Applications are closed

  • Job
    Full-time
    Senior Level
  • Data
    Product
  • New York

Requirements

  • A minimum of 5 years of experience in Quantitative or Technical Roles
  • 7+ years of experience working in financial services, particularly in credit trading or financial technology related to credit markets.
  • Demonstrable understanding of quant techniques, particularly related to corporate bonds.
  • Masters or Ph.D. degree in a technical discipline (mathematics, finance, physics, engineering, or similar field).
  • Familiarity with data science and quantitative investing processes.
  • Basic proficiency in Python, R, or other programming languages typically used in data science.
  • Strong problem-solving, analytical, and technical skills.

Responsibilities

  • Show domain expertise on credit pricing and trading data and how analysts are utilizing this data to build an edge in the corporate bond market.
  • Stay current on major research trends within the credit markets that continue to evolve and redefine traditional thinking and drive the many use cases for enterprise data.
  • Develop a deep understanding of our enterprise offering when it comes to credit pricing data content, accessibility, usability, quality, tools, and services.
  • Set, track, and review metrics for desired product outcomes and clearly communicate product vision, roadmap, and development status through collaboration with global data specialists, sales, engineers, and support organization.
  • Develop a positive relationship with a core group of clients that will partner with us to expand our understanding of their key challenges and evolve our offering through ongoing dialogue and experimentation to systematically address their challenges.
  • Display strong product management skills by effectively handling credit data product specification, prioritization, and backlog by continually addressing business needs through an agile process.
  • Understand data science techniques and platforms that our clients are either building or leveraging to extract value from credit pricing data.
  • Train and be the point of escalation for help desk, sales, and implementation teams for credit product capabilities and potential issues, and, when necessary, coordinate internally to address them.
  • Handle the support of new and existing clients from a product perspective, ensuring the credit analytics and workflows are set up to client’s expectations and providing feedback on client needs, competitor intelligence, and market trends.

FAQs

What is the primary focus of this Product Manager role?

The primary focus of this Product Manager role is to shape a portfolio of enterprise data products specifically related to systematic and quantitative investment workflows, with an emphasis on credit pricing and trading data.

What qualifications are required for this position?

The position requires a minimum of 5 years of experience in quantitative or technical roles, 7+ years in financial services—particularly in credit trading or related financial technology—a master's or Ph.D. in a technical discipline, and familiarity with data science and quantitative investing processes.

Is programming experience necessary for this role?

Yes, basic proficiency in programming languages such as Python or R is required, as these are typically used in data science.

What kind of work environment can I expect?

The work environment is collaborative and requires effective communication with global data specialists, sales, engineers, and support organizations, promoting teamwork and innovation.

Will I have the opportunity to interact with clients?

Yes, building positive relationships with a core group of clients is a key responsibility, as feedback from clients will help evolve the product offering.

What types of data products will the Product Manager be working on?

The Product Manager will work on a suite of pre-processed and linked historical data products that includes company fundamentals, pricing, macroeconomic data, and alternative data solutions suitable for quantitative and quantamental analysis.

What are the main skills being sought after for this job?

Strong problem-solving, analytical, and technical skills are essential, along with the ability to foster relationships with clients and build an internal network for collaboration.

Is experience in credit markets important for this position?

Yes, a solid understanding of credit markets, particularly corporate bonds, is crucial for effectively managing and developing data products in this role.

How does this position contribute to Bloomberg’s growth strategy?

This position supports Bloomberg’s growth strategy by identifying, creating, and designing innovative data solutions that meet the complex demands of investment research and trading clients in the credit markets.

What is the expected outcome of this role?

The expected outcome is to enhance Bloomberg's enterprise data offerings, ensuring they effectively address client needs and challenges in the systematic credit space while driving product innovation and market leadership.

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Bloomberg LP

Think Bigger.

Finance
Industry
10,001+
Employees
1981
Founded Year

Mission & Purpose

Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on us to deliver accurate, real-time business and market information that helps them make important financial decisions. At Bloomberg, we are guided by four core values that are the foundation of our continued success: innovation, collaboration, customer service and doing the right thing. We harness the power of data and technology to organize, understand and improve our world. It's our purpose. Come find yours.

Benefits

  • Group personal pension plan

    When employees invest in their future, Bloomberg does too. We offer a retirement savings plan to help you build income for the future that’s enhanced by a generous matching contribution

  • Annual season ticket

    The Season Ticket Loan Scheme can save you money. Employees are able to buy an annual ticket that costs less than 12 separate monthly tickets. Under this scheme, Bloomberg purchases an annual transportation pass (train, tube, DLR and bus) on your behalf, after which employees pay back the discounted cost in 12 monthly installments

  • Medical plan

    Bloomberg offers employees access to a private medical insurance scheme, which can complement the treatment you receive via the NHS. It provides you with choice about how, when and where you receive medical care. As part of your coverage, employees can access a well-being program that encourages you to live a healthier lifestyle and rewards you with awards points and access to discounts at various reward partners

  • Leave

    Bloomberg offers employees 25 paid vacation days, eight paid bank holidays and paid sick days. We also provide leaves of absence to address a variety of personal situations, including family and medical emergencies, jury duty and more

  • Employee discounts

    Employees have access to discount programs to help save money on thousands of items such as travel, clothing, electronics, shows, gym memberships and many more

OpportunitiesView all

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