Data Product Owner
1 month ago
At MerQube, we're revolutionizing the fintech industry with cutting-edge technology for indexing and rules-based investing. As a Data Product Owner, you'll play a crucial role in driving operational efficiencies, improving service quality, and ensuring readiness for new product releases within our index management processes.
Key Responsibilities:- Operational Efficiency: Own the roadmap for index management, focusing on identifying and implementing operational efficiencies to enhance overall performance.
- Quality Improvement: Lead initiatives to improve the quality of index operations, ensuring consistency in processes and adherence to best practices.
- Operational Readiness: Ensure that the operations team is fully prepared to manage new products or features, collaborating with other teams to create operational readiness by defining the operating model, conducting thorough testing and readiness checks, identifying critical gaps, and remediating them before release.
- Automation: Automate quality checks for new index launches and live indices wherever possible, and develop prototypes to streamline the transition from manual processes to full-scale production automation.
- Compliance: Implement automated checks, where possible, to facilitate compliance with all relevant internal policies and ensure the team is well-versed in standard operating procedures.
- Performance Monitoring: Monitor and analyze operational performance metrics to continually improve service delivery and ensure high operational standards.
- Data Management: Assist in managing processes for handling incoming financial data, including analysis and validation.
- Error Investigation: Identify and investigate potential errors in incoming data, liaising with data vendors as needed.
- Index Launch: Aid in the launch and maintenance of new client and MerQube branded indices.
- Asset Class Support: Support operations across asset classes such as equity, fixed income, derivatives, and commodities.
- Client Support: Provide client support regarding index data and calculations.
- Process Improvement: Ability to break down complex processes, create detailed process flows, identify risks along with the necessary controls to mitigate those risks, and the ability to contribute to writing requirements for engineering.
- Technical Skills: Proficiency in SQL and Python, with the ability to leverage these tools to automate operational tasks and enhance data management processes.
- Operational Mindset: Operational mindset, ensuring high service quality and readiness to scale new products or features efficiently.
- Financial Knowledge: Strong understanding of financial market data and index management, with a focus on optimizing workflows and improving operational efficiency.
- Financial Benchmarks: Knowledge of financial benchmarks, ETFs, index methodologies, and rebalances, with the ability to grasp concepts ranging from basic to more complex.
We offer a competitive compensation package, stellar full-time benefits, flexible working arrangements, a community-first environment, focus on health, wellness, and work-life balance, opportunities to learn, develop, and grow, and more. MerQube, Inc. is an equal opportunity employer committed to building a diverse and inclusive team.
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