As a kick-off assignment, the successful candidate will work with a data modeling BA to design a single, comprehensive data repository that encompasses all product flows. This repository must be supportive of traditional query approaches as well as advanced machine-learning techniques. You will work broadly across the Equities lines of business to actively identify important data problems and incorporate solutions into the repository. The ultimate goal of this assignment will be to build a central, cloud-based repository of all Equities trading data that is capable of supporting a variety of needs from streaming analytics to algo backtesting to monitoring to regulatory reporting to archival. Additional responsibilities will include presenting solution proposals, securing approval from stakeholders and working with the data modelling BA to ensure business objectives are met in all solution designs.

You Offer

Qualifications:

8+ years of experience in software development and solution architecture

Familiarity with financial services products and services, ideally in the Equities space

Extensive design and development experience with Python, Java, and/or Scala

Extensive solution architecture experience

Hands-on experience with modern cloud-based data processing tools such as Hadoop, Spark, Hive, etc

Hands-on experience with one or more machine learning APIs and computational packages (e.g. TensorFlow) is a plus

Hands-on experience with a major public cloud provider such as AWS or Azure is a plus

Must be able to effectively communicate technical concepts and results verbally and in writing, to both technical and business audiences