About this role
The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project / product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data.
AI Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertise in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our Palo Alto office and provide advice and mentorship for all members of the distributed team.
As a Data Scientist you will:
Build new AI Products, and evaluate and improve BlackRock’s products.
You will work with a multi-discipline, multi-region team of outstanding data scientists, engineers, and investment professionals on a corporate-wide set of client, investor, and operational problems. This can include problems in a multitude of areas including but not limited to: NLP such as extracting and correlating n-grams from unstructured text to drive contextual understanding in different business applications across the firm, Graph Analysis for path generation for data lineage/provenance, ontological development, or network analytics, Statistical analysis to generate predictive models in sales and marketing applications and Alpha generation: extracting signals from data sets that provide investment opportunities to business.
Work closely with data engineering and infrastructure to build out end to end solutions.
Work with large sophisticated data sets. Seek novel investment, client, or operational analysis problems by applying analytical methods.
In conjunction with the team, conduct end to end analysis that consists of gathering, requirements specification, processing, analysis, algorithms, builds, ongoing results, and presentations for specific projects. This will include but not be limited to the transformation and integration of data sets such as real-time financial data and reports, text, news feeds, audio, imagery, or log data.
Build and prototype analysis and data pipelines iteratively that will lead to insights at scale. Develop holistic understanding of BlackRock data structures and metrics, advocating for changes to promote new product features or sales opportunities within the team.
Assist in the development of business recommendations with effective presentation of findings at multiple levels of partners using visual analytic displays of quantitative information.
What you will need:
3-5+ years of professional experience in machine learning, statistics, building data pipelines, exploratory data analysis, and other aspects of the data science process
Background in basic mathematical and statistical principles such as regression, probability distributions, multi-variate calculus, matrix algebra.
Familiarity with tools such as Python, R, Julia or MATLAB
MS degree or PhD in a quantitative field (computer science, mathematics, statistics, economics, physics, engineering or related field)
Experience with the analysis or application of data in finance, biology, economics, sociology or related fields.
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.
BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, we help millions of people build savings that serve them throughout their lives by making investing easier and more affordable.
For additional information on BlackRock, please visit www.blackrock.com/corporate | Twitter: @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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