Python Data Engineer - Risk & Analytics, Associate
BlackRock
Not specified; not specified; comprehensive health...
4d onsite
Python-based analytics and ai/ml experience
Building resilient batch and streaming data pipelines
Data quality controls and lineage management
The role focuses on delivering firm-wide risk oversight by leveraging advanced automation, intelligent exception management, and predictive insights
Job Summary
The role focuses on delivering firm-wide risk oversight by leveraging advanced automation, intelligent exception management, and predictive insights.
Candidates will write production-grade Python code to build maintainable data pipelines and deploy AI-enabled solutions at scale.
BlackRock offers a hybrid work model requiring at least four days in the office per week along with comprehensive benefits including Flexible Time Off.
Matching Summary
The role focuses on delivering firm-wide risk oversight by leveraging advanced automation, intelligent exception management, and predictive insights.
Salary
Not specified; Not specified; Comprehensive healthcare, retirement plan, tuition reimbursement, Flexible Time Off
Skills & Requirements
Must-have
Python-based analytics and AI/ML experience
Building resilient batch and streaming data pipelines
Data quality controls and lineage management
Automated validation checks and reconciliation
Scalable reporting solutions for portfolio monitoring
Nice-to-have
Experience with LLM and agent workflows
Strong stakeholder management skills
Process optimization for reporting workflows
Collaboration across investment and compliance teams
Key Requirements
Bachelor's or Master's degree in Engineering, Computer Science, or related field
3-6 years of hands-on experience in Python-based analytics
Experience building models, LLM/agent workflows, and integrating outputs