Fidelity Investments is hiring a

Associate, Regulatory Reporting Data Analytics

Job Overview

  • Posted 1 month ago
  • Full Time
  • Boston, MA, USA
  • 100000

Roles & Responsibilities

As an Associate of Data Analytics, you will support the regulatory reporting process for Fidelity’s broker dealers and various customer channels as part of the broader Regulatory Reporting group within Fidelity Capital Markets. This group is responsible for collecting, processing, and reporting on a vast amount of trade and customer account data to meet external requirements set by industry regulators (FINRA, SEC, etc). The Associate of Data Analytics will assist with data analysis to support a multitude of use cases; responding to institutional customer needs, external regulator inquiries, as well as broader strategic analysis to increase efficiency within the firm’s internal reporting systems and processes. You will be collaborating with business and business partners which report across multiple assets classes with very high levels of regulatory scrutiny. It is important that the right candidate be passionate about hands-on collaboration and proactive problem-solving!

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The Expertise and Skills You Bring

  1. Proficient with SQL, Oracle databases, Excel and other data visualization tools, as well as general data science knowledge
  2. Highly analytical with the ability to quickly comprehend large data sets in order to develop new processes, perform calculations, identify anomalies, and/or produce new reporting capabilities.
  3. Experience with trade and/or customer account data, or regulatory trade reporting (TRACE, MSRB, ACT, EBS, CAT/, Rule 605/606) a plus, but not required.
  4. Series 7, 63, or 24 not required but a plus.
  5. Analyzing trading and customer identification and account data to assist with daily operational support for regulatory reporting activities
  6. Performing proactive data analysis to find opportunities for improvement within our existing reporting processes
  7. Supporting data research and analysis to support teams responding directly to regulator and customer inquiries
  8. Identifying data anomalies/gaps to understand the source of outstanding reporting issues and working with product and operations teams to define solutions
  9. Perform and design acceptance testing as it relates to data quality for systems and applications that support regulatory reporting activity

Skills Required

  • Machine Learning
  • Python

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