Join a team that offers a dynamic environment where your analytical expertise will help shape strategic decisions and drive impactful outcomes for the organization.

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

Job Responsibilities:

• Build holistic insights by integrating customer, account, digital, financial, and operational data sets to inform strategic decision-making and import, clean, transform, and validate data from multiple sources to prepare for advanced analytics and modeling.

• Develop robust business cases, size addressable populations, and estimate the potential impact of proposed measurement plans and scope, implement, and track new features and enhancements within the customer servicing 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 and collaborate with business stakeholders to translate strategic objectives into actionable analytics initiatives and measurement frameworks.

• Lead cross-functional projects, coordinating with product, technology, and business teams to deliver impactful analytics solutions and 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.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree required, with a strong academic background; 10+ years of experience building statistical and machine learning models that integrate multiple data inputs from diverse sources, particularly in Marketing, Customer Journey, Operations, or Finance.
• Minimum of 8 years of hands-on experience in data analysis and 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.
• Exceptional analytical skills, with the ability to collect, organize, analyze, and disseminate large volumes of information with meticulous attention to detail and accuracy.
• Analytical rigor, with the ability to synthesize information across multiple platforms, systems, and organizations, and deliver superior data analysis.
• Strong communication skills, including the ability to develop and deliver concise presentations that clearly articulate challenges, actions, and results for complex issues, creating clarity and driving action among key stakeholders. Proven ability to distill data into actionable insights for executive leadership.

Preferred Qualifications, Capabilities, and Skills:

• Experience developing financial business cases is highly desirable.
• Background in analytics or experience within consumer or retail banking is preferred.
• Familiarity with AWS technologies is a plus.
• Advanced analytics acumen, with a Master’s degree in a relevant technical or quantitative field—such as Mathematics, Finance, Statistics, Operations Research, or Economics—is preferred.