Data Implementation Specialist – Analyst/Associate
BlackRock
full-time
Posted on:
Location Type: Hybrid
Location: Atlanta • United States
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About the role
- Support the onboarding of new clients to the Aladdin platform, with a focus on reference data and analytics configuration.
- Serve as a key liaison between clients, internal stakeholders, and client business teams, translating business needs into data solutions and ensuring successful adoption of Aladdin's data and analytics platform.
- Manage data workstreams, including scope definition, requirements gathering, and milestone tracking.
- Source and reconcile data from external parties such as asset managers, custodians, and clients; guide them through interface design, testing, and production readiness.
- Leverage tools like Excel and Python to perform large-scale data reconciliations in support of data platform migrations and onboarding efforts; apply AI-assisted scripts or tools where applicable to improve speed and accuracy.
- Monitor and validate production data inputs and outputs across internal and external sources; utilize AI-powered anomaly detection and quality checks to proactively identify and resolve data issues.
- Investigate and resolve complex data issues; perform ad hoc analysis on large datasets under tight deadlines.
- Educate clients on Aladdin data conventions and workflows; deliver training and documentation, leveraging AI tools to accelerate content generation and knowledge sharing.
- Collaborate with business analysts and developers to improve data quality, reduce risk, and scale processes.
- Contribute to innovative efforts by prototyping new solutions and refining best practices, including exploring how AI and Agentic workflows can automate and elevate delivery.
Requirements
- 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, with working knowledge of fixed income concepts (e.g., duration, convexity, tracking error, scenario analysis) and instruments (e.g., bonds, futures, swaps, securitized products, FX); experience with private markets is a plus
- Familiarity with market/external data providers (e.g., Bloomberg, Reuters/LSEG, IDC, Markit, IBOXX, FTSE/Russell, etc.)
- Experience sourcing data from managers, custodians, and clients, and guiding them through interface design, testing, and onboarding is a plus
- Understanding of reference data workflows and conventions; ability to apply them in client onboarding and production environments is a plus
- Proficient in Excel; experience using UNIX, PERL/Python, and SQL for large-scale data reconciliation and analysis is a plus
- Familiarity with AI tools such as LLMs or Agentic frameworks, and how they can be applied to automate data workflows, accelerate analysis, and improve delivery outcomes; formal AI training or certification is a plus
- Comfort working in a human-in-the-loop capacity—reviewing and validating AI-generated outputs as part of day-to-day workflows
- Proven ability to manage complex data projects and deliver high-quality outcomes under tight deadlines
- Excellent communication and relationship-building skills; able to engage effectively with clients and senior stakeholders
- Highly organized with strong time management and prioritization skills
- Team-oriented, proactive, and adaptable with a strong sense of ownership
- A "student of the markets" mindset, intellectually curious with a passion for learning about global financial markets and the investment management business.
Benefits
- Employees are eligible for an annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement benefits
- Flexible Time Off (FTO)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data reconciliationdata analysisdata managementdata qualityinterface designrequirements gatheringmilestone trackingAI-assisted scriptinglarge-scale data analysisinvestment data analytics
Soft Skills
communication skillsrelationship-buildingtime managementorganizational skillsadaptabilityproactivityownershipintellectual curiosityteam-orientedproblem-solving
Certifications
Bachelor's degreeAI training or certification