CCB - Auto Finance - Auto Retail Pricing Innovation - Vice President
2101 Shallcross Ave
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**JP Morgan Chase**
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at .
**Our Firmwide Risk Function**
Our Firmwide Risk function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others
The Auto Retail Pricing Innovation Vice President is a newly created function that will be accountable for developing pricing strategies via test and learn designs to support the Chief Risk Officer (and other senior leaders across CCB products including the firm and CCB CROs, and LOB CEO). The Director should have a background in credit risk management, be able to lead and work closely with other stakeholders, such as Credit Strategy, Model Development and Finance team.
In this individual contributor role, they will handle and oversee the analytical research from inception to completion along the lines of pattern recognition to identify insights that would benefit real time pricing test and learns. The main objective function is pricing innovation, which translates to uncovering hidden relationships via machine learning techniques, both supervised (regression based) and unsupervised ( i.e. text- mining, cluster analysis, neural networks, graph theory) from internal / external data to generate insights, and inform pricing decision-making.
Specific Responsibilities Include:
+ Design and build predictive models by utilizing large amount of structured and unstructured data
+ Provide technical expertise for designing machine learning models while staying in the know on financial data studies and research projects where the boundaries can be pushed on pricing innovation design
+ Gather feedback from management and key stakeholders to translate business requirements into models and actionable tasks
+ Partner with quantitative teams within Auto and across the CCB organization to proactively gather insights on statistical methods used to drive pricing innovation and guide further model development efforts of price optimization.
+ Leverage industry and competitor insights as part of model development and enhancement
+ Able to be hands on as individual contributor with strong technical skills to analyze and extract key insights from model outputs
+ Data Analysis:
+ Comfortable working with large sets of data and deliver business insights from the data using analytical techniques
+ Directing the analysis and interpretation of big data towards price optimization and industry benchmarking
+ Leveraging data sources that can complement existing pricing strategies such as Chase Customer 360 or alternative data
+ Construct tracking dashboard of pricing model results and data visualization reports
+ Demonstrated experience communicating complex findings in a clear and concise manner to both technical and non-technical stakeholders
+ Offer a strategic perspective, business judgment and exercise influence when communicating with senior leaders or collaborating with multiple teams
+ People Management:
+ Able to lead an offshore team to support data needs, analysis design, modelling research, model preparation and result reporting.
+ Masters or PhD degree in a technical field - Engineering, Statistics, Computer Science, Operational Research, Mathematics, Physics (or a related subject)
+ 7+ years of experience and knowledge in the field of quantitative research and specialized areas of risk analytics, data science or optimization techniques
+ Strong knowledge of advanced statistical methods and machine learning techniques focusing on pattern recognition, outlier detection algorithms and predictive modeling
+ Strong statistical / data mining skills and experience with tools like SAS, R, and Python.
+ Attention to detail and ability to self-drive analytical / predictive work
+ Experience with data visualization tools, such as Tableau
+ Self-motivator; be able to work independently as well as collaboratively
+ Executive level communication skills, both verbal and written/presentation
+ Quantitative experience (e.g., partnering with modelling or deep analytic teams to drive practical results and points of view)
+ Understanding of fundamental pricing concepts and financial levers related to pricing elasticity
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran. Associated topics: banking, cpa, expense, finance, finance director, fiscal, investment banking, kpmg, risk, tax
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.