
Syndicated Loans Data Specialist
We are looking for a highly motivated and organized Syndicated Loans Data Specialist to join our team at Bloomberg. We need an individual who is passionate about data and has a knack for staying up to date on the latest developments in the market. This role requires a blend of technology, financial products, and data management expertise to support our team in the efficient management of our data.The ideal candidate should have a bachelor’s degree in finance, economics, or a related field, and 5 years of experience in a similar role, or as an analyst or consultant working with syndicated loans data. The individual should also have strong analytical, problem solving, and communication skills, and be comfortable working with Excel and SQL. Additionally, the successful candidate should be detail-oriented and have the ability to work independently and meet tight deadlines.
Excellent Communication And Interpersonal Skills
Ability To Work Independently And Collaboratively
Strong Attention To Detail
Knowledge Of Bloomberg Terminal
Excellent Quantitative Skills
Strong Knowledge Of Syndicated Loan Market
Proficiency With Microsoft Office Suite
Flexibility To Adapt To Changing Workloads
Project Management
Data Analysis
Microsoft Office
Database Management
Bloomberg
Financial Modeling
Data Mining
Loan structuring
Risk assessment
Credit risk analysis
Regulatory compliance
Client Relationship Management
Cash flow forecasting
Documentation review
Syndicated Loans
Communication
Negotiation
Problem Solving
Time management
Interpersonal Skills
creativity
self-motivation
Organizational skills
Teamwork
Adaptability
According to JobzMall, the average salary range for a Syndicated Loans Data Specialist in Princeton, NJ, USA is $44,000 - $127,000 per year. This range can vary depending on various factors such as the experience and qualifications of the individual, the size and nature of the company they work for, and the location of the job.
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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.

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