Analyst - Delivery Orchestration

About this role

BlackRock is a global leader in investment management, risk management and advisory services for institutional and retail clients. BlackRock helps clients around the world meet their goals and overcome challenges with a range of products that include separate accounts, mutual funds, iShares® (exchange-traded funds), and other pooled investment vehicles. BlackRock also offers risk management, advisory and enterprise investment system services to a broad base of institutional investors . BlackRock currently has more than $9 trillion AUM and approximately 19,000 employees in more than 35 countries and a major presence in global markets.

BlackRock Aladdin Data is entrusted with maintaining all data integral to the investment decision process for BlackRock the house and our proprietary Aladdin® end-to-end investment platform. Aladdin Data closely partners with its stakeholders, such as Portfolio Management, Global Capital Markets, Relationship Management, Portfolio Compliance, Risk Analytics, Regulatory Reporting, and others, to ensure their business data needs are met accurately, timely, and efficiently.

The Aladdin Data philosophy is anchored on BlackRock’s cornerstone principles: Innovation, Fiduciary focus, Passion for Performance, Emotional Ownership, and the unified purpose of One BlackRock. Through that lens, we strive to build value for our clients by understanding their needs, the markets, and using technology to create best in class solutions.  As a global team, Aladdin Data has presence across 12 offices in 8 countries, servicing more than $9 trillion in AUM on Aladdin for BlackRock and clients spanning 6 continents and all spectrums of the financial markets.

We are looking for a high performing individual who understand the data pipeline for financial and accounting data. Proactively resolve data issues, collaborate for process improvements, and swiftly address anomalies. Optimize pipeline performance, meet SLAs, and provide recommendations for efficiency.

Key responsibilities:

• Monitor and manage data pipelines to ensure the timely and accurate flow of financial and accounting data.
• Proactively identify and resolve data issues, ensuring data integrity.
• Conduct regular quality checks to ensure the accuracy, completeness, and consistency of financial and accounting data.
• Collaborate with Data Engineering and Stewardship teams to discuss and implement improvements in data quality and processes.
• Investigate and resolve data anomalies, discrepancies, or errors promptly, ensuring minimal impact on downstream operations.
• Work closely with cross-functional teams to address and rectify issues affecting data pipeline performance.
• Monitor and optimize throughput to meet established service level agreements (SLAs).
• Provide recommendations for improvements in data processing efficiency and system reliability.
• Gain broad experience in Equities, Fixed Income, Derivatives, and Alternatives, across the vast global investment marketplace.
• Maintain comprehensive documentation of data operations processes, monitoring procedures, and issue resolution protocols.
• Ensure documentation is up to date to facilitate knowledge transfer and training.
• Initiate and drive platform and process innovations to support new business needs, minimize risk, enhance quality, and navigate the changing markets.
• Flexibility to work occasional weekends and holidays as needed.
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Knowledge and Experience:

• 0-5 years’ experience in hands-on data operations including data pipeline monitoring and engineering.
• Bachelor’s Degree is required, with preference to business disciplines such as Finance, Accounting, or Economics, and technical disciplines such as Information Systems or Engineering.
• A “Student of the Markets” mentality: Intellectually curious with a passion for learning about the global financial markets and the investment management business.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent understanding of data quality assurance processes and methodologies.
• Effective c