Company: BlackRock
Location: Edinburgh EH3


Edinburgh EH3


About this role

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.
  • 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 has grown to 30+ 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 skill sets 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.

Job Description:

As a Senior Data Scientist, you will act as technical lead to develop, build, evaluate and improve Blackrock’s data science and artificial intelligence services and products. You will have a leadership role on a multi-discipline, multi-region team of world-class data scientists, engineers, and investment professionals addressing large scale analytic challenges corporate-wide. Your position will define the analytical and statistical functions required to address 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.


  • Act as a lead to solve novel investment, client, or operational analysis 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.
  • Alpha generation: extracting signals from data sets that provide investment opportunities to business.
  • Play a leading role in end to end analysis that includes data gathering, requirements specification, processing, analysis, algorithms, builds, code reviews, ongoing deliverables, and presentations for specific projects.
  • Lead in prototype analysis and data pipelines iteratively that will lead to insights at scale.
  • Lead in the development of holistic understanding of Blackrock data structures and metrics, advocating for changes to promote new product features or sales opportunities.
  • Research and develop new analytic solutions and methods to directly improve Blackrock’s suite of products and services through creation of new models, features, or experimental design.
  • Work closely with data engineering and infrastructure to build out end to end solutions.
  • Lead 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.


  • MS or Ph.D. degree in a quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related field)
  • Experience with Python, R, Julia, or MATLAB
  • 7+ years of experience in the analysis and application of algorithms and models to large scale data problems in tech, finance, biology, economics, sociology or related field including applied experience with machine learning
  • Demonstrated experience building machine learning algorithms and data products in production
  • Experience translating technical or statistical analysis results into business recommendations, and able to speak in plain English to smart nontechnologists in a variety of roles and functions across the firm

About BlackRock

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, our clients turn to us for the solutions they need when planning for their most important goals. As of June 30, 2019, the firm managed approximately $6.84 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit | Twitter: @blackrock | Blog: | LinkedIn:

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.