Overview In this role, you will apply advanced analytics to solve complex banking and client-placement challenges. You will build repeatable analytical frameworks and deliver models that inform enterprise strategies, governance, and leadership reporting. You'll translate insights into clear business recommendations and executive-ready presentations. You collaborate across Analytics, Banking, Risk, Operations, and Technology to ensure rigorous, auditable outputs and impactful decision support. This role offers the opportunity to shape placement strategies and drive data-driven outcomes at scale.
Compensation / Benefits- health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance
- Parental leave
Responsibilities- Develop and deliver advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing
- Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes
- Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting
- Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards
- Execute highly complex analytical experiments and create innovative statistical models
- Partner with sales leadership to inform placement strategy and customer alignment decisions
- Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization
- Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications
- Build executive-ready presentations for senior leaders and communicate complex analyses to non-technical audiences
- Respond to ad hoc leadership requests with concise, high-impact analyses
- Collaborate with cross-functional partners (Analytics, Banking, Risk, Operations, Technology)
- Support governance processes by ensuring outputs meet internal standards and documentation requirements
- Act as a trusted analytics advisor to stakeholders across the organization
Key requirements- 4+ years of data science experience
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- data storytelling
- clear communication
- cross-functional collaboration
- SQL
- Python
- R
