Business Banking Sales Quant Analytics Manager - VP

Help turn complex data into decisions that improve how sales teams prioritize, execute, and measure results. In this role, you’ll pair analytical depth with practical business partnership to deliver insights leaders can act on. You’ll work across data sources to build a reliable view of performance and opportunity, while strengthening the rigor and control discipline behind reporting. If you enjoy solving ambiguous problems and communicating clearly, this role offers meaningful impact and room to grow.

As a Quantitative Analytics Manager
in the
Business Banking Data and Analytics
team, you’ll support sales strategy through analytical exploration, testing and readouts, forecasting, financial assessments, and portfolio performance analysis. You’ll partner directly with internal stakeholders to design, implement, and track strategic sales initiatives using data-driven methods. You’ll balance speed with rigor by validating inputs, identifying anomalies, and improving how results are measured over time. You’ll define meaningful performance indicators and deliver dashboards that provide transparency into progress.

• Develop insights, methods, and tools from large datasets using advanced analytics (predictive modeling, clustering, text mining, machine learning, statistical forecasting, simulation, visualization).
• Integrate data from multiple sources and databases to form conclusions and inform strategies.
• Analyze data to identify improvement opportunities, validate inputs, detect defects, and surface anomalies tied to business processes.
• Strengthen processes and controls that support consistent, measurable business outcomes.
• Partner with stakeholders to build shared understanding of business drivers and underlying data.
• Communicate complex analytical results clearly to a range of audiences.
• Collaborate with business owners to define quantifiable goals; advise on experimentation and measurement approaches.
• Deliver key performance indicators, trend analysis, dashboards, and segmentation/optimization analyses to improve performance.
• Collaborate across functions and lines of business to drive analytics, insights, and execution.
• Build and maintain strong internal client relationships through proactive communication and dependable delivery.

• Doctorate or Master’s degree in a related field with5 years
  of experience, or Bachelor’s degree with7 years
  of experience in a related discipline (e.g., computer science, operations research, physics, mathematics, engineering, econometrics, statistics, or similar).
• Demonstrated ability to communicate analytical findings clearly and influence business stakeholders.
• Experience delivering analytics and insights to multiple levels of management.
• Proficiency in standard data mining and analytical methods.
• Proficiency in data analysis languages such as
  Python
  ,
  SAS
  , orR.
• Proficiency with relational databases and strong
  SQL
  skills.
• Strong analytical, interpretive, and problem-solving skills with attention to data quality and reliability.
• Technical understanding of data extraction, transformation, and load (ETL) processing.
• Ability to manage multiple priorities, deliver in a fast-paced environment, and work effectively with cross-functional partners.

• Hands-on experience designing, building, and operating solutions on cloud data platforms (e.g., Snowflake, Amazon Web Services, Databricks) or equivalent.
• Experience with server-based dynamic and interactive reporting solutions.
• Experience with straight-through processing tools (e.g., Alteryx) or equivalent.
• Experience with visualization tools (e.g., Tableau) or equivalent.
• Exposure to query optimization and performance tuning in analytics workflows.