Data and Analytics - Quant Analytics Senior Associate

Join a team that seeks for talented and highly motivated individual with exceptional data analysis skills.

As a Quant Analytics Senior Associate, within the Data and Analytics team, you will lead the analytics book of work and collaborate with a cross-functional team to support the Product and work closely with partners across Finance, Customer Experience, Design, Software Engineering, and Product Ownership.

• Build holistic insights by integrating customer, account, digital, financial, and operational data sets to inform strategic decision-making.
• Import, clean, transform, and validate data from multiple sources to prepare for advanced analytics and modeling.
• Scope, implement, and track new features and enhancements within the collections journey to optimize customer experience and operational efficiency.
• Identify customer interactions and events across various channels to gain a deeper understanding of customer journeys and pinpoint friction points.
• Utilize a range of analytical and statistical tools—including Alteryx, Excel, SQL, Python, and Tableau—to analyze and interpret trends and patterns in complex data sets.
• Support the creation and delivery of presentations that summarize key insights and actionable conclusions, often tailored for executive audiences.
• Collaborate with business stakeholders to translate strategic objectives into actionable analytics initiatives and measurement frameworks and lead cross-functional projects, coordinating with product, technology, and business teams to deliver impactful analytics solutions.

• Bachelor’s degree required, with a strong academic background and at least 4 years of experience building analytical solutions that integrate multiple data inputs from diverse sources, particularly in Marketing, Customer Journey, Operations, or Finance;
  Minimum of 2 years of hands-on experience in data analysis.
• Demonstrated technical expertise in data modeling, data analysis, and segmentation techniques.
• Proficient in Business Intelligence and analytical tools such as Alteryx and Tableau.
• Self-sufficient in querying and extracting data from enterprise databases and data lakes, including platforms such as Snowflake, GOS, and AWS Athena.
• Analytical rigor, with the ability to synthesize information across multiple platforms, systems, and organizations, and deliver superior data analysis.
• Champion the use of advanced analytics techniques, such as machine learning and predictive modeling, to uncover deeper insights and drive innovation.
• Establish and monitor key performance indicators (KPIs) to measure the effectiveness of analytics initiatives and inform ongoing strategy.

• Experience developing financial business cases is highly desirable.
• Operational knowledge of Document Services Operations is a strong advantage.
• Background in analytics or experience within consumer or retail banking is preferred.
• Familiarity with AWS technologies is a plus.