Blackrock

• Salary: Not disclosed
• Location: Mumbai
• Key Skills: Accounting

Job Description:

Job description About This Role Associate Third Party Data Operations Aladdin Data BlackRock Company Overview BlackRock is a global leader in investment management, risk management, and advisory services for institutional and retail clients We help clients achieve their goals and overcome challenges with a range of products, including separate accounts, mutual funds, iShares(exchange-traded funds), and other pooled investment vehicles We also offer risk management, advisory, and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions Headquartered in New York City, as of February 5, 2025, we handle approximately $11 5 trillion in assets under management (AUM) and have around 19,000 employees in offices across 38 countries, with a significant presence in key global markets, including North and South America, Europe, Asia, Australia, the Middle East, and Africa, Aladdin Data When BlackRock was founded in 1988, the goal was to combine financial services with innovative technology Today, BlackRock is a leading FinTech platform for investment management and technology services globally Data is central to the Aladdin platform, differentiating us through our ability to consume, store, analyze, and gain insights from it, The Aladdin Data team maintains a pioneering data platform that delivers high-quality data to users, including investors, operations staff, data scientists, and engineers Our aim is to provide consistent, high-quality data while evolving our platform to support the firm's growth We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities, Role Are you passionate about data, technology, and innovationDo you thrive in fast-paced environments where curiosity drives progressWere looking for a dynamic and driven individual to join our team in a brand-new role at one of the worlds leading global FinTech companies, As part of our APAC/EMEA Data Operations function, youll play a key role in supporting the transformation of the Data Operations function Your work will be essential in maintaining high-quality data across third-party data domains, empowering BlackRock and the Aladdin Client Community to unlock the power of data and drive strategic decisions, Key Responsibilities The ideal candidate will be a high-energy, data & technology driven individual who has a track record in domain and process driven operations, Contribute to the creation of a robust Third-Party Input Data Operations function with 24/7 coverage?an integral part of our global data strategy, Responsible for Data operations for APAC/EMEA ensuring seamless, high-quality data flow that meets global standards and client expectations, Implement and run best in class processes across Incident Management, Problem Management, Query Management etc Establish, track, and optimize KPIs and performance metrics, providing actionable insights that enhance data quality and process effectiveness across domains, Partner with cross-functional teams?Data Stewardship, Governance, Engineering, and Product teams?to ensure data operations align with strategic goals and drive shared success, Identify and seize opportunities for process automation and innovation, contributing to the evolution of our Data Operations function and scaling impact globally, What Were Looking For A self-starter whos excited to challenge the norm, introduce new ideas, and bring fresh perspectives to the table, Eager to learn, adapt, and develop expertise across multiple data domains?continuously improving their knowledge, Enthusiastic about how data drives decisions and power, Focused on driving process optimization and automation, ensuring that data operations function efficiently and effectively, Required Experience A Degree in Business, Computer Science, Engineering, or a related field, 3-6 years of hands-on experience in Data Operations, Data Management, or Operations Transformation, with both functional and technical exposure, Understanding of modern data pipelines and t