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Data Implementation Specialist
BlackRockData Implementation Specialist supporting the onboarding of clients to the Aladdin analytics platform. Managing data workflows and collaborating with stakeholders for successful integrations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing complex data projects and onboarding clients to the Aladdin platform, leveraging strong analytical skills and proficiency in data technologies. Capable of collaborating with stakeholders to enhance data quality and educate clients on data conventions.
Highest-signal resume keywords
Data ManagementInvestment Data AnalyticsExcel ProficiencyPython ProgrammingData Project Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ReconciliationRequirements GatheringData AnalysisFixed Income ConceptsSQLUNIXPERLData SourcingReference Data WorkflowsAd Hoc Analysis
Soft Skills
CollaborationProblem SolvingClient EducationCommunication
Tools & Technologies
Aladdin PlatformExcelPythonAI ToolsLLMsAgentic Frameworks
Industry Keywords
Investment TechnologyData QualityMarket Data ProvidersData WorkstreamsData Inputs and Outputs
Tech Stack
Tools & technologiesPerlPythonSQLUnix
About the role
Key responsibilities & impact- Support the onboarding of new clients to the Aladdin platform
- Serve as a key liaison between clients, internal stakeholders, and client business teams
- Manage data workstreams, including scope definition and requirements gathering
- Source and reconcile data from external parties
- Leverage tools like Excel and Python for data reconciliations
- Monitor and validate production data inputs and outputs
- Investigate and resolve complex data issues; perform ad hoc analysis
- Educate clients on Aladdin data conventions and workflows
- Collaborate with business analysts and developers to improve data quality
- Contribute to innovative efforts by prototyping new solutions
Requirements
What you’ll need- Bachelor's degree required; Finance, Computer Science, Engineering, or related field preferred
- 3+ years of experience in investment or data technology roles
- Strong understanding of investment data and analytics
- Working knowledge of fixed income concepts and instruments
- Familiarity with market/external data providers
- Experience sourcing data from managers, custodians, and clients
- Understanding of reference data workflows and conventions
- Proficient in Excel; experience with UNIX, PERL/Python, and SQL
- Familiarity with AI tools such as LLMs or Agentic frameworks
- Proven ability to manage complex data projects
Benefits
Comp & perks- Health insurance
- Retirement benefits
- Leave benefits
- Annual discretionary bonus