Business Quantitative Analyst

Key accountabilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Identify valuable data sources and automate collection processes.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Mine and analyze data from company databases and date sets to drive optimization and improvement of product developments.
• Develop custom data models and algorithms to apply to data sets.
• Undertake preprocessing of structured and unstructured data.
• Collaborate with engineering and product development teams to implement models and monitor outcomes.
• Participate in the design of the fee schemes for cash equity and listed derivatives clearing leveraging on data analysis.

The key accountabilities only describe the main activities and is not exhaustive. It evolves depending on the expertise level and ongoing projects.

Your profile

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data, draw insights from large data sets, querying databases and creating data architectures.
• Experience creating and using advanced algorithms and statistics.
• Strong problem-solving & math skills with an emphasis on practical implementations. Graduated from an engineering school or a university with mathematics specialties.
• Deep understanding of market finance risks.
• A drive to learn and master new technologies and techniques.
• Interest in automated testing and continuous integration.
• Comfortable in fast-paced, dynamic environment.
• Excellent communication and collaboration skills.