About the Role
The ideal candidate will manage daily research operations, streamline data processes, and ensure accuracy across analytical projects while collaborating with cross-functional teams.
Responsibilities
- Oversee daily operations of research projects from initiation to completion
- Ensure data accuracy and consistency across all research outputs
- Coordinate between research, engineering, and product teams
- Develop and maintain operational workflows for research activities
- Monitor project timelines and deliverables to ensure on-time execution
- Implement quality assurance protocols for research data and reports
- Support the integration of new research tools and technologies
- Manage documentation standards for research methodologies
- Identify inefficiencies in current research processes and recommend improvements
- Facilitate regular team meetings to align research goals with business objectives
- Track key performance metrics related to research productivity
- Ensure compliance with internal data governance policies
- Assist in resource planning and task prioritization for research staff
- Maintain version control for research models and datasets
- Prepare executive summaries of research findings for leadership review
- Standardize reporting formats across research teams
- Support onboarding and training for new research team members
- Coordinate external research collaborations and data sharing agreements
- Manage access permissions for sensitive research databases
- Evaluate vendor tools used in data analysis and modeling
- Maintain a centralized repository for research documentation
- Troubleshoot operational issues affecting research timelines
- Ensure adherence to ethical research practices and data privacy standards
- Contribute to strategic planning for long-term research goals
- Facilitate knowledge transfer between research and development teams
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with partial remote flexibility
Team
Part of the research and development division focused on analytical systems
About the Team
- This role supports a specialized research unit dedicated to advancing data-driven decision tools for traders and developers.
- The team operates at the intersection of financial technology and quantitative analysis, focusing on real-world applications of market data.
Technology Stack
- Primary tools include SQL-based databases, Python for data analysis, Jira for project tracking, and Git for version control.
- Cloud platforms are used for scalable data processing and collaborative research environments.
Not available for this position
