Bloomberg Intelligence - Asset Allocation Strategy Associate

Bloomberg Intelligence - Asset Allocation Strategy Associate

Location

New York

Business Area

Research

Ref #

10049039

Description & Requirements

Bloomberg runs on data. Bloomberg Intelligence "BI" takes that data and creates tools, analysis and insights that help inform and support clients' investment decisions in financial markets. BI Strategy research combines written analysis with interactive charting and analytics to give professional terminal clients foresight into where asset classes and sectors stand today and where they may be heading next.

What's in it for you:

As a BI Asset Allocation Strategy Associate, you would be part of this fast-growing team, supporting the Director of BI Global Strategy Research. You will be responsible for research coverage and thought leadership, which includes building new capabilities that allow investors and asset owners to evaluate cross-asset portfolio considerations, supported by strong underlying data and analytics. You will also play a pivotal role in generating insights, constructing data analysis and conducting investment research. The research will require a combination of fundamental and quantitative analysis, asset class supply and demand trends, sector performance, correlations and relative value. The analysis will be based on Bloomberg data sets and the group's proprietary models. Collaboration with the strategy, industry, government and litigation teams is a key element of this role. BI Strategists and Analysts arm Bloomberg users with the data and insights necessary to make market assessments.

We'll trust you to:

• Actively contribute to the Global Strategy Team's daily research activities (i.e. data, written research, idea generation). Research projects may vary in complexity and scope.

• Pull, clean, and organize large sets of financial data using Python and Excel, ensuring accuracy and consistency despite potential imperfections in the raw data.

• Manage and model large data sets, including aggregation and calculation of fundamental series for asset classes, sectors and indices.

• Continuously assess the quality of data, identifying potential errors and inconsistencies; proactively determine whether the data makes sense and flag/correct issues as needed.

• Develop and maintain relationships with internal departments throughout Bloomberg as well as external users.

-Synthesize the results of your data analysis and develop concise narratives that communicate the story behind the data.

• Work with other data and core business groups to help develop and improve content and functionality across the terminal.

• Interact with clients via our online messaging systems.

• Participate in department-wide special projects.

You need to have:

• Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future (U.S. citizen, U.S. permanent resident/green card holder, refugee, asylee)

Graduated with a Bachelor's degree; a degree in finance, mathematics, economics or a similar field with a heavy emphasis on computer programming preferred.

• At least two years of research experience in either Equity Strategy or Economics, with genuine interest in developing a career in macro research.

• Proficiency in Python (Pandas, NumPy) and Excel for handling large datasets, cleaning data, and performing complex analyses.

• The ability to spot anomalies in financial data, think critically about what the data is telling you and identify when something doesn't align or make sense.

• Excellent written communication and presentation skills, track record of collaboration with a team.

• An understanding of advanced concepts, practices and procedures of finance/accounting with experience interpreting financial statements and performing quantitative financial analysis.

• Strong familiarity with market indices and econometric data sets.

• High attention to detail and demonstrable research and analytical skills.

• Strong organizational skills and capable of handling multiple projects.

• An ability to meet deadlines, logically tackle problems and set priorities.

• A commitment to enhancing and developing products.

We'd love to see:

• Progress toward or achievement of CFA designation

• A Master's degree in Business, Finance, Accounting, MBA, or related discipline

• Previous work experience with the Bloomberg Terminal. Let us know what your favorite functions are!

If this sounds like you:

Apply if you think we're a good match and we'll get in touch with you to let you know next steps. In the meantime, check out:

Salary Range = 100,000 - 120,000 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