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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

As the Dividend Projection team, leaning on our significant corporate actions data, the projections we make flow into many of Bloomberg's industry leading products. We provide value to our customers who rely on this information for a wide array of use cases, globally, covering Equities, ETFs and derivative instruments.

What's the Role?

You will be responsible for researching company dividend policies, examining financial statements, and identifying economic and market factors that may impact dividend distributions. Your insights will help shape the data product, offering clients a reliable resource for making informed investment decisions. Given your experience, there will also be an expectation for you to help proactively manage and provide input into the various data initiatives being rolled out for the product. You will work closely with our Data Quality experts and our Engineering teams, leveraging your domain expertise to enhance the product. There will also be opportunities for mentoring junior analysts as well.

We'll trust you to:

• Acquire, update and maintain high-quality financial data using various internal systems and proprietary company software
• Monitor and interpret major company and ETF developments and identify themes or trends affecting key market sectors
• Establish and maintain relationships with internal departments throughout Bloomberg as well as external clients
• Work with other data and core business groups, such as Holdings Data, Corporate Actions, News and Engineering to help develop and enhance product databases and functionality
• Assist our world-renowned client support help desk with escalated client inquiries
• Work on complex data projects related to Derivatives, Futures and Aggregate Income Driven data sets
• Develop subject matter expertise and derive powerful intelligence - forming the backbone of our Derivatives and Equity functionality

You'll need to have:

• Demonstrated a meticulous focus on data quality, accuracy, efficiency and timelines
• 4+ years of work experience in financial data analysis
• Excellent verbal and written communication skills in Mandarin and English
• A Bachelor's degree or higher in relevant Finance, Business, Economics, Accounting, STEM, or degree-equivalent qualifications
• Demonstrated experience interpreting financial statements; understanding of finance and accounting principles and procedures
• Strong attention to detail, proven decision-making ability, and problem-solving skills
• Ability to multitask and prioritize effectively, ensuring a high level of accuracy and efficiency
• Ability to understand sectoral and economic relationships and apply this to dividend projecting
• Proven understanding of customer service and engagement
• Demonstrated continuous career growth within an organization
• Openness to learn & assist with various Agile project management activities and wider initiatives across the team

We'd love to see:

• Master's degree in Business, Finance, Accounting, MBA, or related discipline preferred/CFA designation
• A high-level proficiency with Microsoft Excel or Python and SQL
• Previous work experience with the Bloomberg Terminal, or Bloomberg Market Concepts (BMC) certification
• Knowledge of AGILE and a use of workflow tool like JIRA

Does this sound like you?

Apply Now ! We'll get in touch and let you know the next steps.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.