Are you ready to make a significant impact across the Consumer & Community Banking finance organization? Join our Core Treasury Analytics team and empower a client driven approach to our portfolio analytics. Your input will contribute to supporting high-profile decision making both on core and topical challenges as well as support a transformational view of our portfolio characteristics.
As a Treasury Deposit Analytics Senior Associate in Core Treasury, you will have the opportunity to share your analysis through direct exposure to senior business leaders, helping to frame our understanding of clients financial performance, preferences and expectation of behaviors. You will also dive into analytics on liquidity characteristics helping to drive improvements in our analytical framework and models focused on our $1+ Trillion retail deposit portfolio. You will tackle ambiguous problem statements and work independently forging deep connections across the firm that creates lasting impact for the team and across the firm!
Job Responsibilities
Design, develop and optimize complex SQL queries / Python scripts that support interest rate risk, forecasting and other treasury analytics on state-of-the-art platforms including Databricks and Snowflake. Includes query tuning to ensure optimal execution, identifying data attribute enhancements that lead to additional insights and consulting with stakeholders to deliver target insights
Analyze deposit performance across key client attributes and seasonal events to help inform client segmentation analysis, becoming a subject matter expert on cross line of business impacts to deposit liquidity on our fortress balance sheet
Collaborate with our finance partners to understand and evaluate economic data releases and their impact on financial forecasts, synthesizing the downstream impacts to CCB treasury analytics
Build and nurture relationships across the firm, influence colleagues at all levels in a dynamic, high-stakes environment as you serve as an internal consultant tackling major business challenges ensuring timely delivery
Leverage existing tools and techniques to create repeatable processes for intelligence creation while integrating the newest in technology advancements to further reduce errors and maximize the speed to insights
Required qualifications, skills, and capabilities
4+ years of full-time work experience in quantitatively focused roles
Experience using scripting/programming languages and statistical packages (e.g. Python, SQL, R)
Practical knowledge in financial analysis, competitive analytics and data management
Bachelor’s degree in quantitative, analytical or financial subject area including Statistics, Mathematics, Finance, Accounting, Engineering or equivalent work experience
Advanced Excel use including structured process to prototype and solution analysis which is easy to follow, helping to answer complex and/or ambiguous questions
Working knowledge of retail banking and products
Excellent communication skills both written (Presentation/PowerPoint, Memo/Word) and verbal with experience in debating complex concepts with key stakeholders
Preferred qualifications, skills, and capabilities
Highly self-motivated, thrive in a dynamic environment with shifting priorities, and have passion and intellectual curiosity to find and capture business value
Familiarity with Hyperion Essbase, Dodeca, PitchPro, Tableau and relational data structures
Strong understanding and proven experience in using statistical methods and algorithms used in segmentation and clustering (e.g. K-means, hierarchical clustering) for business use cases including customer profiling, customer segmentation and data mining
Demonstrated ability to understand the underlying business context of data