Quant Analytics Associate Senior

Join our dynamic Data Analytics team to elevate virtual branch performance through innovative data solutions.

As a Quant Analytics Associate Senior within the Data and Analytics team, you leverage data analysis tools to solve business problems and enhance virtual branch activity and performance. You collaborate with stakeholders to deliver actionable insights and strategic guidance.

Job Responsibilities

• Leverage a wide range of data analysis tools and techniques to solve business problems centered around virtual branch activity and performance.
• Collaborate with stakeholders to gather requirements and translate business needs into actionable reporting and visualization solutions.
• Design, develop, and implement interactive dashboards, scorecards, and reports that summarize complex data findings in a clear, concise, and effective manner.
• Develop compelling data stories that effectively communicate key insights and recommendations to stakeholders, leveraging storytelling best practices.
• Create executive-level presentations and reports that provide strategic guidance to senior leadership.

Required Qualifications, Capabilities, and Skills

• Bachelor s/Masters Degree in a quantitative discipline such as business, finance, economics, engineering, statistics, information systems, or mathematics with 7+ years of experience in data analysis and visualization.
• Experience in wrangling large, complex datasets, strong database skills, and ability to write, optimize, and tune complex SQL scripts.
• Hands-on experience with standard data analytics tools and technologies (SQL, Tableau, Alteryx Snowflake).
• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-operated and fast-paced environment.
• Demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, with attention to detail while maintaining focus on broader purpose and business objectives.

Role: Data Analyst

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate