Senior Technical Account Manager - Private Credit Data

Senior Technical Account Manager - Private Credit Data

Location

Princeton

Business Area

Data

Ref #

10051417

Description & Requirements

Bloomberg runs on data. 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 are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team:

Our teams operate at the forefront of Fixed Income innovation, building and maintaining data products that power credit and risk workflows across institutional finance. Our teams globally oversee a suite of high-impact datasets and tools spanning Loans and Private Credit analytics, each critical to the evolving needs of our clients.

We aggregate comprehensive data across Private Credit including Direct Lending Loans by combining insights from news, public filings and direct contributions from involved parties. Our focus on Business Development Companies (BDCs) contributes to the Direct Lending Environment (DLEN), the first-of-its-kind function for monitoring direct lending trends. Our datasets provide visibility into issuance, pricing, non-accruals, and defaults, delivering essential signals for valuation, RV, credit risk modeling, and index construction in a market segment that has traditionally lacked transparency.

Our mission is to enable clients to navigate the complex and opaque world of credit markets with clarity, precision, and confidence. We are continuously investing in our data tools and infrastructure, sourcing strategies, and domain expertise to stay ahead of market needs.

The role:

We are looking for a Senior Technical Account Manager to help build and maintain relationships with banks, asset managers, third parties and industry groups to ensure the high quality, accurate and consistent acquisition of our private credit data. You will apply critical thinking and relationship management skills, working with our technical partners across Data and Engineering to solve problems and continually looking for opportunities to improve the value of our private credit data offering. You will be responsible for looking for new content partners and opportunities that will improve and complement our dataset.

We’ll trust you to:

• Understand financial markets and client needs to help drive the loans product strategy

• Develop and maintain strong relationships with existing and new syndication desks and content partners and consumers to ensure market leading coverage and depth of loan data by creating data acquisition roadmaps

• Contribute to the design and development of automated solutions for data ingestion, standardization, ETL, and enrichment

• Collaborate with a wide variety of external partners and internal departments including Engineering, Product and Sales on strategic product development and execution

• Build networks with loan industry players and key associations to participate and host industry events

• Define, measure and manage impact of your work using statistics and data visualization tools

• Promote, market and brand Bloomberg loans datasets and products to both internal and external partners

• Develop quality data workflows to verify and validate third party data

• Communicate with impact, ensuring relevant information is articulated in a meaningful way to wide and varied audiences, including senior executives

You’ll need to have:

• 5+ years of professional work experience in fixed income and related financial products

• Ability to spot market trends and act on them to improve depth and breadth of coverage

• Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management

• High attention to detail and degree of shown decision-making and problem-solving skills

• Ability to work independently under pressure and in a frequently changing and multi-functional team environment

• Proven ability to influence others and lead change

We’d love to see:

• Existing business relationships/ contacts with the Loans Syndication and/or Private Credit community

• Agile/Scrum Project Management experience

• Experience using data analysis and visualization tools such as Tableau or QlikSense

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 Range = 90,000 - 125,000 USD Annual + 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.

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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 View email address on click.appcast.io