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US Credit Strategy Research Associate

Bloomberg
New York, NY, USA
Full-time

US Credit Strategy Research Associate

New York, NY

Posted May 17, 2024 - Requisition No. 125371

Bloomberg Intelligence ( BI ) is seeking a Strategy Associate to support the US Credit Strategy team. As a BI Credit Strategy Associate, the right candidate will be interested in credit markets, directly support the Chief Credit Strategist with generating and supporting insights with a mix of fundamental and quantitative approaches and help with frequent publication of research.

You will have a steep learning curve with great exposure to the market experts in Bloomberg Intelligence, and you will have learning interactions with the financial markets.

Sitting alongside the strategist team, you will be very close to the market, and develop a solid skillset on analysis. The analysis in your daily work will be based on the Bloomberg Indices and data sets, which will provide you a resourceful platform to apply your expertise of Excel, Python, and other data analysis skills, which will used to publish credit strategy research and host the data on the BI Credit Strategy dashboard within the Bloomberg Terminal.

WE'LL TRUST YOU TO :

  • Actively contribute to daily research activities of data analysis, written research, idea generation and client engagement
  • Interact regularly with clients via our online messaging systems, telephone and client visits
  • Conceptualize, construct and maintain research dashboards
  • Help to identify, support and maintain critical data and functionality on the Bloomberg terminal
  • Develop and maintain relationships with internal and external constituencies
  • Review submitted research for adherence to global quality standards
  • Participate in department-wide special projects

YOU NEED TO HAVE :

  • Graduated with a Bachelor's degree, preferably with a concentration in a quantitative field
  • 2+ years of financial market research experience
  • Strong interest in learning about corporate credit
  • Proven excellence in managing and modeling large data sets, with high interest in progressive learning of new quantitative systems
  • Proficient Excel skills with attention to detail and high standards in data quality
  • Advanced modeling skills, including a solid understanding of Python and / or Bloomberg BQuant, VBA and related technologies.
  • Excellent written communication and presentation skills, track record of collaboration with team
  • Demonstrable research and analytical skills
  • Strong organization skills and capable of handling multiple projects
  • An ability to meet deadlines, logically tackle problems and set priorities

WE'D LOVE TO SEE :

  • A Master's degree in Business, Finance, Accounting, Data Science, or related discipline preferred
  • Data visualization Skills (PowerBI, Tableau, QSEN)
  • CFA designation, or pursuit thereof
  • Previous work experience with the Bloomberg Terminal

Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at :

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 maternity / 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.

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