We are Bloomberg Enterprise Data - fast paced, innovative and expanding! We partner closely with our clients, taking time to understand their unique businesses and individual data and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get exactly the data they need, when they need it, in the format they prefer. Put simply, our award-winning data powers the capital markets.
What is the Real-Time Pricing business at Bloomberg? Bloomberg's real-time pricing business is a market leader in the fixed income universe and is supported by a variety of pricing options available on the Bloomberg Terminal as well as distributed directly to clients.
IBVAL Front Office (IBVL) is the newest pricing source built to support real-time trading and the growing adoption of trading automation. IBVAL Front Office uses a machine learning model that ingests trade and quote data sources in near real time to produce high quality pricing and consistent coverage across the liquidity spectrum. This pricing source is distinct from but complementary to Bloomberg's leading evaluated pricing service, BVAL.
In addition to supporting IBVAL, there would be responsibilities covering pricing sources like BGN (Bloomberg Generic Pricing), CBBT (Composite Bloomberg Bond Trader), and BMRK (Benchmark) which are all streaming pricing throughout the day.
We are known for:
Cutting edge pricing methodologies that aid clients in the full investment lifecycle
Pricing data provided how and when clients want it
Legendary customer support
The most respected capital markets firms across the globe are Bloomberg Pricing clients, and we continue to grow annually.
The Role: Real-time Pricing Analysts are pricing experts responsible for employing relevant, innovative, and leading-edge valuation models that leverage Bloomberg's in-house analytics to provide high-quality data for the front office, middle office, and operations. We are seeking a pricing specialist with a deep knowledge of the Fixed Income markets, with a focus on GSAC (Governments, Supranationals, Agencies, and Corporates). The team consists of capital market professionals with extensive and varied experiences, including former traders, portfolio managers, and research analysts.
We'll trust you to:
Support the real time pricing business across product, sales and clients
Work closely with the AI modeling team and core engineering team to develop automation processes to ensure the highest quality product can be delivered to clients
Work closely with other BVAL team members, Business Development, and Engineering to develop innovative tools to ensure quality and coverage across global markets
Partner with Sales in presenting the pricing services to prospective and existing clients
Discuss markets, AI pricing models, and pricing questions with colleagues and clients
You'll need to have:
5+ years of trading, portfolio management, securities valuations or research experience within cash bond universe in capital markets for either a buyside or sellside firm or vendor*
Demonstrated experience in technology solutions that support fixed income workflows across front, middle and or back office as well as experience learning and navigating complex systems, including databases and analytical models
Proven proficiency in Python, Microsoft Excel, VBA, SQL, and data modeling
Shown ability to articulate complex valuation models in a clear and concise manner with internal and external constituents
We'd love to see:
Client facing experience in a sales, account management or Go-To-Market role
Experience in Agile or Kanban environments
Experience with digital distribution technologies
*Please note we use years of experience as a guide, but we will certainly consider applications from all candidates who are able to demonstrate the skills vital for the role.
If this sounds like you, please apply! We'll get in touch with you to let you know next steps. In the meantime, check out https://www.bloomberg.com/company/what-we-do/
Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate based on 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 provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for.
Salary Range: 160,000 - 210,000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
