Blackrock

Quantitative / Systematic Research, Associate

San Francisco, CA

Sponsorship not specifiedDetected 14 days ago

PythonSQLRedshiftAWSGCPAzureLinuxRESTMachine LearningData ScienceResearchCommunicationCollaboration

About the role

BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world.
We have a responsibility to be the voice of the investor, and we represent each client fairly and equally.
Continuous innovation helps us bring the best of BlackRock to our clients.

Evaluate and improve model design, portfolio construction and implementation
Work with large data to develop investment ideas and strategies in a systematic and effective way
Progress proprietary analytics packages, developing innovative methods to visualize portfolio risk while automating away repetitive tasks
Identify and monitor factor exposures and event risks and evolve our process to systematically manage emerging factors
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients.
To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

Experience with Unix OS and large-scale distributed computing platforms (e.g. AWS, GCP, Azure), databases (e.g. SQL, Redshift, Big Query), and data science programming languages (e.g. Python)
Candidates should have 2+ years of relevant experience in a similar role, demonstrating a consistent track record of delivering high-quality results
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.
Strong understanding of statistical and machine learning concepts
Experience working with large data sets and machine learning models preferable, with ability to handle multi-language data preferred
Strong sense of teamwork, contribute to and foster a culture of teamwork and knowledge sharing
Willingness to produce high quality work in a demanding, fast-paced environment
Detail-oriented, team-oriented and self-motivated

Degree in a quantitative field preferred (e.g. quantitative finance/economics, computer science, engineering, mathematics and physics, etc.)

For San Francisco, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00.

Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses.
As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

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This listing is sourced directly from Blackrock's careers page and normalized into a canonical job model.