Data Scientist - Data Science Core

  • Not Specified
  • New York, NY, USA
  • Permanent, Full time
  • BlackRock
  • 17 Oct 18

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of June 30, 2018, the firm managed approximately $6.3 trillion in assets on behalf of

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of June 30, 2018, the firm managed approximately $6.3 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock.

Job Description:

Data Science at BlackRock:

In February 2018, BlackRock announced the creation of a new central Data Science team in order to accelerate innovation and technology in artificial intelligence, and to have firm-wide impact using data science to solve strategic problems. The team is led by two experienced data science leaders, Dr. Sherry Marcus and Dr. Rachel Schutt.

BlackRock manages $6.2+ trillion in assets on behalf of investors worldwide. As such, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact.

The kinds of problems you’d be working on:

  • Building a dynamic pricing and auto-bidding engine for the security lending business
  • Alpha generation: extracting signals from alternative data sets that provide investment opportunities to investors.
  • Predictive models in sales and marketing applications in order to anticipate client behavior and needs.
  • Natural language processing in order to extract and correlate n-grams from unstructured text including from financial reports, news, and contracts in order to drive contextual understanding in different business applications across the firm.
  • Speech-to-text analysis
  • Graph Analysis for path generation for data lineage/provenance, ontological development, or network analytics.
  • Automating repeatable tasks done by humans to free them up to work on the tasks that require their human intelligence
  • The firm-wide policy on algorithmic accountability and ethics of data science

The team you’d be part of:

In the first year, the team will grow to 20 data scientists and data engineers. The team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: 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.

We will be hiring a mix of tech leads and individual contributors with deep expertise in certain areas, as well as generalists. All individuals will be expected to have solid statistical/mathematical, and/or algorithmic/computational foundation and writing code is required. Each individual will be expected to contribute and lead based on their experience and expertise.

As this is a new team, we will be in start-up mode, so you would be helping to build and shape the team and culture from the ground up. You should therefore be comfortable with ambiguity and willing to be pro-active in your contributions, and evolve as the team grows.

We are looking for candidates with unique backgrounds and diverse skillsets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. Data Science Core aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients utilizing data from a wide variety of sources including text, news feeds, financial reports, time series transactions, logs, imagery, and real-time data.

Check this out: BlackRock in the News

Job Description:

As a Data Scientist, you will evaluate and improve BlackRock’s products. You will work with a multi-discipline, multi-region team of world-class data scientists, engineers, and investment professionals on a corporate-wide set of client, investor, and operational problems. The position will bring analytical rigor and statistical methods to the challenges of measuring data and analytical quality, building (NLP, Graph, Statistical) technology capabilities, and understanding the needs and behaviors of our end users and clients.

Responsibilities:

  • Work with large complex data sets. Solve 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 deliverables, 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 stakeholders using visual analytic displays of quantitative information. Communicate findings with stakeholders as necessary.

Qualifications:

  • 3+ 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 discipline (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.

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 criminal histories in a manner consistent with the requirements of the law, including
any applicable fair chance law.