The Financial Analysis Associate is responsible for supporting the Treasury finance function within Consumer & Community Banking (CCB). This opportunity challenges the candidate to support the business through complex analytics in the context of funds transfer pricing (FTP) and liquidity funding rules, net funding outflows, resolution and recovery, capital allocation, balance sheet optimization, earnings at risk (EAR), securitization, pricing and valuation, marginal asset and liability economics, and other core treasury concepts.
This position is also responsible for business support of non-credit statistical model development. The Associate is required to identify drivers, provide intuition to modelers, and support model development through data analysis, implementation, documentation, and review. Statistical models in the purview of this role include such topics as deposits, pricing, marketing and new acquisitions, new branch location, and others.
The Associate is also challenged to perform big data analytics utilizing JP Morgan Chases vast customer, household, and transactional level data. The Associate works hand-in-hand with data engineers and predictive modelers also on the Treasury team to solve complicated problems in CCB. The Associate is accountable for developing best in-class analytics around product usage, repricing, and growth by leveraging Chases data warehouse. The analytics derived from these exercises will be used extensively by the business to inform strategy as well as by corporate treasury and CIO to develop FTP, interest rate risk (IRR), and asset-liability management (ALM) frameworks.
The candidate will work cross-functionally with the business and pricing teams, corporate treasury and the Chief Investment Office (CIO), liquidity and interest rate risk partners, controllers, finance partners and CFOs, and model review.
Perform analytics related to FTP, liquidity, capital, balance sheet optimization, pricing/valuation, and the competition across multiple retail product types (credit card, mortgage, home equity, small business loans, auto, deposit, security back lending)
Collaborate with subject matter experts to design model requirements incorporating business strategy, customer behavior, and macroeconomic drivers in order to achieve multi-purpose model function and best-in-class analytics frameworks
Become a CCB data expert, utilizing a data warehouse to inform modeling approaches, understand customer behavior, do sensitivity analysis and research outliers
Present results to LOB CFOs & other key senior partners
Partner with other LOBs and functions to ensure best practices across the entire organization
3+ years of experience in one or a combination of the following: financial analytics, investment banking, or pricing at a large financial institution or management consulting firm.
BS in Finance or Economics
Outstanding ability to analyze problems, apply quantitative analytical approaches, communicate effectively and confidently (both oral and written), and work well in cross-functional teams
Ability to find relationships and identify patterns in large datasets and to see business implications of findings
Able to communicate effectively with a variety of peers including engineering teams, quantitative modeling teams, and business unit executives
Working knowledge of retail banking and products
Ability to translate data into concise, insightful, and actionable recommendations
Experience with analytical tools such as SAS, SQL, R, Python, or desire to learn