Financial Data Analyst Lead

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

Financial Data Analyst team is responsible for producing high quality data for QRT quant and discretionary business. This team is specialized in extracting data from sources which are very complicated to automatize but proven to have lot of value to business.

In this role, you will lead the team and help expand and strengthen its capabilities. You will work closely with stakeholders across research, trading, and technology. The role combines hands-on execution with opportunities to guide projects, improve processes, and support team members.

You will play a key role in ensuring that high-quality, well-structured data is available to support informed decision-making across the organization.

Key Responsibilities:

• Primary responsibility would be the team and project management spanning across multiple stake holders
• Propose and enforce best practices in the team in data extraction and presentation
• Support and mentor team members while contributing to a collaborative and inclusive team environment
• Develop and improve processes for extracting, validating, and organizing data from sources such as websites, PDFs, and other formats
• Build and enhance automation workflows using Python and Excel to improve efficiency and scalability
• Collaborate with cross-functional teams to understand data needs and deliver usable, high-quality datasets
• Maintain data quality by identifying and resolving inconsistencies or gaps
• Share relevant market updates and insights with stakeholders
• Stay informed about evolving tools, technologies, and data sources, including emerging applications of AI/LLMs

Your Present Skill Set:

• Bachelor’s or master’s degree in finance, Computer Science, Data Science, or a related field
• 10+ years of experience in financial data research or a related domain
• Strong understanding of financial markets and data sources
• Experience in team management and project management
• Strong hands-on experience with Python for data extraction and processing
• Experience working with both structured and unstructured datasets (e.g., filings, earnings calls, alternative data)
• Strong analytical skills and attention to detail
• Comfortable working with stakeholders across different functions
• Effective communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.
  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.