Title: Sr. Principal Research Analyst Location: Remote Type: Long-term contract with chance to convert Summary: We're searching for multiple Senior Principal Research Analysts to support our client's data & analytics projects related to regulation of large, high frequency trading on the stock market. The Analysts will be for the planning and execution of analytics projects throughout their lifecycle. This includes defining the approach, having the ability to scope and drive analytics with the appropriate quantitative methods, and working closely with the business to ensure project objectives and goals are met. This role works across the business to promote the use of advanced analytics to solve business problems. Essential Job Functions:
- Promote the use of advanced analytics and associated insights for the consumption of internal and external stakeholders, including senior level management across the organization.
- Leads business engagement activities including soliciting use cases, user feedback, training, etc.
- Contribute to the development and enhancement of cross-market surveillance programs
- Work across delivery teams to deliver analytics capabilities that solve critical business problems.
- Drive availability of relevant data, tools, and infrastructure to facilitate for experimental and development purposes.
- Provide analytics-based research and respond to ad hoc requests in support of business objectives.
- Define approach for data collection for building analytics-based systems, transformations and extending company's data with third party sources of information when needed.
- Devise and implement methods for automation of all parts of the predictive pipeline to achieve regulatory efficiencies.
- Actively participate in the completion of the enterprise-wide strategic plan for expanding analytics capabilities that support regulatory programs to improve efficiency and effectiveness.
Requirements:
- Bachelor's degree in STEM, or similar quantitative discipline
- 8+ years of experience in Data Science, Engineering or Software development
- Experience in advanced analytics using machine learning, data mining, and natural language processing
- Familiarity with Big Data processing and platforms
- Strong knowledge in at least one of the following programming languages: Python, R, SQL, or SCALA.