Associate - Index Fulfillment

About this role

The team is looking for Associate-level investment data specialists to support the delivery and expansion of Aladdin’s data capabilities across a growing client base. In this role, the Associate will contribute to client data implementation projects across multiple data domains, working closely with senior team members, partners, and clients. The role provides hands-on exposure to end-to-end data, analytics enablement, and client-facing delivery within Aladdin. 

The Associate will be responsible for executing defined project tasks, supporting data activities, and assisting with analysis, testing, and documentation, while developing a strong foundation in Aladdin data conventions, investment data, and implementation best practices. 

Responsibilities

 

• Support client data implementations by assisting with requirements gathering, scope clarification, and project planning activities for the data management workstream of Aladdin implementations. 

• Execute assigned tasks within the data workstream and track progress against project milestones under the guidance of senior team members. 

• Collaborate with client investment, technology, and data teams to support data mapping, normalization, and implementation activities. 

• Learn and apply Aladdin data conventions and target-state data management workflows, assist with client walkthroughs as needed. 

• Use standard interfaces and configurable tools to client data from clients and/or third-party data providers. 

• Assist with configuring analytics jobs and deliverables by supporting the setup, validation, and troubleshooting of analytics workflows to ensure accurate and timely outputs in collaboration with senior specialists. 

• Perform data validation, reconciliation, and quality checks; help investigate data issues and support resolution with internal teams, vendors, or clients. 

• Support business and technical analysis by documenting client requirements and translating them into clear inputs for data stewards, production solutions, and engineering teams. 

• Participate in client UAT activities by executing test cases, validating results, and documenting findings. 

• Prepare and maintain client-facing documentation using standard templates and support the transition of new clients into production support in partnership with Data Operations. 

• Contribute to process improvements, standardization efforts, and internal initiatives aimed at improving data efficiency and quality.

 

   

• Qualifications and skillsets:

  

   

We are looking for quick learners, independent thinkers with new perspectives to challenge the way we operate and help prototype new solutions we can ultimately deploy to a standard implementation playbook. Individuals with strong technical and analytical interests and skills would find the data implementation practice best in supporting their continuous developments through the ownership of critical client project elements as well as organizational initiatives to constantly evolve the platform and best-practice, leveraging data and technology.   

   

• Bachelor’s Degree is required, with preference to business, technology, or engineering focus.  

• 4+ years of experience either as an investment/data technology implementation specialist or with direct relevant user, development, service, or operation experiences.  

• Familiarity with investment data and analytics is required; Private markets or derivative knowledge is a plus.  

• Strong attention to details and focus on high quality delivery.  

• Comfortable working with clients and partners at all levels of the business.  

• Relentless desire for understanding how processes work and entrepreneurial drive to learn new skills and technologies.  

• Strong track record of successfully handling and completing large and complex projects. Critical thinking and demonstratable experience using technology to solve problems at scale.  

• Shown ability to work well independently or as part of a team in an innovative, ambitious, and fast-paced environment, run multiple tasks, adapt to change, and work well under tight time restraints.  

• Excellent verbal and written communication, collaboration, and relationship-building skills  

• Working experience with SQL preferred. Knowledge of UNIX/Linux, Python or Java is a plus.

  

 

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareers.blackrock.com%2Fen%2Fai-interview-guidance&data=05%7C02%7CPoulam.Maiti%40blackrock.com%7C8c001f38dc71438fe65308debd7ccca5%7C282a32955c424d939ec16631001cc5f7%7C0%7C0%7C639156540858686005%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=whXuYBXo637EPj15E8LLiyRsdWphXOyPK8ODdCxk2Xs%3D&reserved=0

guidance

 on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

• Bachelor’s Degree is required, with preference to business, technology, or engineering focus.
• 4+ years of experience either as an investment/data technology implementation specialist or with direct relevant user, development, service, or operation experiences.
• Familiarity with investment data and analytics is required; Private markets or derivative knowledge is a plus.
• Strong attention to details and focus on high quality delivery.
• Comfortable working with clients and partners at all levels of the business.
• Relentless desire for understanding how processes work and entrepreneurial drive to learn new skills and technologies.
• Strong track record of successfully handling and completing large and complex projects. Critical thinking and demonstratable experience using technology to solve problems at scale.
• Shown ability to work well independently or as part of a team in an innovative, ambitious, and fast-paced environment, run multiple tasks, adapt to change, and work well under tight time restraints.
• Excellent verbal and written communication, collaboration, and relationship-building skills
• Working experience with SQL preferred. Knowledge of UNIX/Linux, Python or Java is a plus.