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Chase · 5 months ago

Treasury Deposit Analytics Senior Associate

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Mid, Senior Level

4+ years exp

Chase is seeking a Treasury Deposit Analytics Senior Associate to join their Core Treasury Analytics team. In this role, you will analyze client financial performance and liquidity characteristics, contribute to high-profile decision making, and support the optimization of analytical frameworks for a large retail deposit portfolio.

BankingFinancial Services

No H1B

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 processed for intelligence creation while integrating the newest in technology advancements to further reduce errors and maximize the speed to insights

Qualification

SQLPythonFinancial analysisStatistical methodsData managementAdvanced ExcelRetail banking knowledgeCommunicationTeam collaborationProblem-solving

Required

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

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

Desire and/or progress towards MBA, CFA charter, CPA, CTP or other financial certification

Demonstrated ability to understand the underlying business context of data