Associate, Data Engineering

Key Skills

AWS, Big Data Technology, Effective communication skills, Machine learning techniques, Python Programming, SQL

Job Description

Summary of Duties:

• Build, test, integrate, and maintain highly scalable data management systems using investment data sources.
• Proactively identify and implement architectural improvements to Big Data processing pipelines.
• Design and integrate enhanced feature inputs into predictive models that inform investment processes.
• Evaluate the performance of suites of predictive models over time via comprehensive back-tests.
• Perform detailed data analysis to understand root cause of anomalous model outputs.
• Write complex queries in Python and SQL to ensure data is easily accessible and analytics work smoothly.
• Set up unit tests and data verification checks for key ETLs and model input preprocessing logic.
• Write cloud (e.g., AWS) native applications.
• Set up robust, reusable model surveillance pipelines and visual dashboards to enable internal data science teams to monitor drift in signals over time.
• Prepare written documentation and performance results to comply with risk review requirements.
• Gather feedback from business partners and subject matter experts to inform data science product requirements.
• Communicate findings to cross-functional internal audiences via presentations and visual analytic displays of quantitative information.

Qualifications:

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, or related field of study and two (2) years of experience in the job offered or related occupation including two (2) years of experience in each of the following:
• writing Python and SQL scripts to enable scalable data processing and model building;building cloud native applications.
• collaborating on complex deliverables and communicating across data science, engineering, and investment teams.
• leveraging data manipulation to feed into statistical models related to asset management.
• and contributing to the design of machine learning pipelines from raw data sources to end-model outputs.

For New York City only: The salary range for this position is $149,900 – $157,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

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 onboarding experience here at BlackRock.