JP Morgan Chase - Associate - Business Banking Pricing Analytics

About the team:

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

We help business owners with deposit accounts, payment acceptance, access to credit, and cash management services.

Roles & Responsibilities:

As a key member of the Business Banking loan pricing analytics and forecasting team, the team member will play an active role in facilitating data driven strategic pricing decisions for small business loans.

- Leverage a wide range of data analysis, machine learning and statistical modeling tools and techniques to solve business problems that have an impact on loan pricing and profitability.

- Use advanced quantitative techniques on large datasets to identify trends and patterns and derive actionable insights.

- Identify opportunities to replace existing analysis techniques with statistical methods in order to improve accuracy.

- Become a subject matter expert and trusted advisor in Business Banking loan pricing analytics domain.

- Build and deploy prototype solutions to demonstrate ideas and proof of concept.

- Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings,etc.).

- Develop visualization/ppt to summarize and communicate key findings to stakeholders.

- Work independently and collaboratively (as and when needed) to achieve the larger goal.

- Actively contribute in bringing in innovative ideas and continuously strive to upskill and learn new technologies.

Experience, Education & technical skills:

- Master's degree in Business, Statistics, Mathematics, Economics, Operations Research or any quantitative field

- 7+ years' experience in data science, statistics or related fields preferably in the banking domain

- Must have 5+ years of hands-on experience in SAS, SQL and R or Python. Good to have: Exposure in alteryx and tableau

- Experience working with large datasets and multiple database systems.

- Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining techniques and predictive modeling techniques. Good to have: Exposure to Time series forecasting methodologies.

- Strong business acumen and ability to translate technical details, observations and inferences into business language

- Highly proficient in developing ppt decks and presenting strategic, action- oriented recommendations from complex analytics

- Ability to perform in both independent and collaborative work environments.

- Should be flexible with EMEA shifts

About us:

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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