Securities Services Technology – Data Scientist, Associate or VP

JP Morgan

Location: Greater London

Job Type: Full time


The most difficult thing is the decision to act, the rest is merely tenacity.
- Amelia Earhart

Internal Description

As a client-focused data scientist with advanced technology skills you will engage in statistical analysis and software development for the benefit of internal and external clients. You will design and build big data solutions using modern data science tools and workflows while collaborating with both the product development and technical teams to provide technical designs as well data science expertise for our clients.

In this role you will:

  • Lead technical discussions with customers, vendor partners, and colleagues from various departments such as Technology, Quant Research & Product Development
  • Effectively communicate advanced statistical and technical concepts to various audiences
  • Be an expert demonstrating advanced data science workflows and technologies for financial markets use cases
  • Confidently make recommendations regarding data science and big data workflows to customers and partners
  • Develop examples, applications and tools including tutorials, reference implementations, SDKs and presentations that will be used by data science practitioners as well as decision makers
  • Provide feedback to product, quant, and engineering teams to help shape product development and strategy
  • Balance multiple tasks, client engagements and continuous learning to keep up with academic trends

Core Required Skills

  • Understanding of a wide range of statistical models (e.g. regression, tree-based methods, artificial neural networks)
  • Good programming skills in at least one of the commonly used languages for data analysis (e.g., Python, R, MATLAB, Scala).
  • Experience with applying data science/quantitative modeling to real world, financial use cases
  • Knowledge of open source data analysis tools and machine learning libraries
  • Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience
  • Comfortable in a fast-moving environment with often loosely defined tasks where interaction with senior management is required
  • Passion and motivation for constant learning

Additional skills preferred

  • Master's degree or Ph.D. in a quantitative discipline
  • Knowledge of cloud data science and machine learning services
  • Experience with tools for large scale and distributed data analysis (e.g., Spark)
  • Understanding of capital markets, corporate finance, banking and/or asset management
You’ve got this!