About the job
About Us
At DriveWealth, we are committed to revolutionizing the landscape of investing by ensuring that everyone has the opportunity to shape their financial destiny. Our belief is grounded in the idea that access to financial markets should transcend geographical, economic, and systemic barriers. As a global B2B financial technology innovator, we are on a mission to democratize financial independence worldwide through our state-of-the-art API-based platform. This empowers our partners to deliver seamless investing and trading experiences to clients across the globe, all through mobile devices. Our technology equips partners with a flexible, modern toolkit, facilitating traditional investment processes alongside innovative solutions such as fractional share ownership. DriveWealth has quickly evolved into a comprehensive platform enabling trading in US equities, mutual funds, ETFs, fixed incomes, and options.
Now is an exceptional time to join a company that is set to redefine its category, supported by a team poised to seize this opportunity. Our culture intertwines the dynamism and flexibility of a fintech startup with the reliability, impact, and rigor of Wall Street. We foster an environment that champions creativity and experimentation while maintaining a focus on institutional-grade execution and regulatory compliance in every aspect of our operations. Be a part of our journey to shape the future of global investing!
About the Role
The Data & Analytics team is on a mission to create groundbreaking data products that yield actionable insights, enabling our partners to excel. Our focus is on curating and sustaining essential data sources and statistics that benefit both internal and external stakeholders.
What You’ll Do
Advanced Engineering & Coding
- Core Development: Design and develop intricate dbt models and data transformation logic for high-volume financial datasets (trade transactions, order books).
- Python Automation: Craft production-grade Python scripts tailored for advanced data processing, anomaly detection, and custom orchestration logic beyond SQL capabilities.
- Performance Engineering: Take charge of the most challenging issues concerning query performance. Refactor legacy code and enhance incremental loading strategies to minimize costs and latency on a large scale.
Technical Architecture & Standards
- CI/CD & DevOps: Oversee the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration.

