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BlackRock Associate, Data Engineering in New York, New York

About this role

Company: BlackRock Financial Management, Inc.

Job Title: Associate, Data Engineering

Location: 50 Hudson Yards, New York, NY 10001

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.

To apply: Please click the “Apply” button on this webpage.

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.

About BlackRock

At BlackRock, we are all connected by one 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 one 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.

For additional information on BlackRock, please visit @blackrock (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/blackrock) | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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