Job Description

JOB DESCRIPTION

You are a strategic thinker passionate about driving solutions in Finance Modeling team . You have found the right team.


As a Quantitative Modeler in our Finance Modeling team, you will spend each day developing models which would be used for informed decision making.

Job Responsibilities :

• Identify data anomalies and other cases when more investigation is required as part of the model-building process
• Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance.
• Work on Data cleaning and preparation of the modeling datasets
• Building statistical or econometric models for budgeting, financial analysis, or to satisfy regulatory requirements (CCAR/DFAST)
• Building statistical or machine learning models for making optimal pricing decisions for Deposits, Auto, Home Lending & Cards products
• Communicating results across a wide variety of audiences, including Finance partners, modeling teams in Risk, and Model Governance
• Mentor other modelers to build models, communicate results, and perform other statistical analysis

Required qualifications, capabilities, and skills :

• Deep quantitative/programming background with a graduate degree (M.S. or Ph.D.) in Statistics, Economics, Mathematics, Operations Research, Engineering or Computer Science
• 7+ years of exceptional hands-on model development experience
• Excellent written and oral communication skills to clearly present analytical findings and business recommendations. Effective communication and presentation skills
• Statistics & econometric modeling techniques
+ Linear and non-linear statistical modeling
+ Time series and forecasting
+ Panel (longitudinal) data analysis
+ Bayesian methods
+ Non-parametric methods
• Machine Learning Techniques
• Proficient in big data processing with tools like Spark Hadoop and Unix operation system

Preferred qualifications, capabilities, and skills:

• Hands on model development experience in Budget and regulatory (CCAR) modeling framework (mandatory) for Deposit/Wealth Management or other lending products like Cards, Auto & Home Lending. Hands-on experience with Machine Learning models & familiarity with Gen AI and its applications (good to have).Strong machine learning theory foundation and end-to-end machine learning development experience (specialty in NLP, computer vision, reinforcement learning is a plus)
• Expertise in the following: Python (mandatory), PySpark / TensorFlow (good to have). Strong programming / development skills in Python or R or Scala (Theoretical knowledge in computer runtime efficiency is a plus)
• Strong Python/ PySpark programming skills and & understanding & knowledge of TensorFlow would be an added advantage
• Banking & Financial Services background or experience preferred.


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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.







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.



The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.