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Senior

Senior Analytics Engineer, RegTech

Confirmed live in the last 24 hours

DriveWealth

DriveWealth

New York, New York, United States
Hybrid
Posted April 6, 2026

Job Description

About Us

DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing!

About The Role:

The RegTech team at DriveWealth develops data products that provide our compliance department with the necessary data and insights to ensure all regulatory obligations are met. We are looking for a Sr. Analytics Engineer focusing on creating, maintaining, and monitoring highly curated data sources and statistics critical for internal compliance and external regulatory reporting.

The ideal candidate possesses a deep understanding of the trade lifecycle and has worked closely with data engineers, product managers, and regulatory stakeholders to interpret, clarify, and translate regulatory requirements into efficient, compliant, and usable data marts and reports. This means balancing competing priorities and laying the groundwork for scale while building top-tier regulatory data products.

What You'll Do:

  • Own the Regulatory and Supervisory Data Layer: Architect, build, and maintain data marts and Sigma reports used for critical regulatory functions (e.g., CAT, EBS, trade monitoring, AML) and internal compliance supervisory monitoring, ensuring consistent, accurate outputs delivered quickly through efficient code with robust testing and verification
  • Translate Regulation to Data: Work directly with business partners and Compliance to translate new regulatory rules, changes, and reporting obligations into precise analytics engineering requirements and data flows, anticipating future features to proactively provide compliant data
  • Support Ad-Hoc Inquiries and Regulatory Exams: Respond quickly and accurately to ad-hoc data requests and regulatory examination inquiries from Compliance and Legal teams, providing data and analysis as needed
  • Implement Controls and Quality: Drive data quality for regulatory reporting by leading the development and implementation of controls, performing user acceptance testing (UAT) and unit testing, coordinating remediation of reporting anomalies, and establishing best-in-class development practices
  • Document and Standardize: Document, revise, and maintain data procedures and process flows as required by internal audit and regulatory standards

What You'll Need:

  • Deep domain knowledge in FinTech/Capital Markets, including a strong understanding of the trade/order lifecycle (Orders, Executions, Allocations) and US regulatory reporting requirements.
  • Experience working within a larger data team, balancing ideating on solutions, creating output, writing verification tests, and reviewing others' work.
  • Fluent in SQL.
  • Familiarity with DBT is required.
  • Experience with building business intelligence reports (Sigma Computing is preferred)

Nice To Have, But Not Required:

  • Experience with Python (Jupyter Notebooks)
  • NoSQL and semi-structured data
  • Familiarity with Databricks, AWS, Airflow, GitHub, and  AGILE development
  • &
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