CCB Risk Model Delivery: Sr Associate

Job Description
This individual will be a key contributor in all aspects of the MDAS(Model Delivery as a Service) and must be willing to work in agile project framework. One of the key cornerstones of MDAS personnel is the ability to adapt and quickly learn the business needs throughout the entire modeling implementation process. The incumbent would lead all quality assurance and testing effort that the team works on and must be able to provide guidance to junior team members. The incumbent must ensure that the documentation and archiving of all relevant artifacts of the validation done is maintained in an orderly manner for audit purpose.
Responsibilities:

• Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Cloud DB) in preparation for analytics and/or modeling
• Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes.
• Leverage a variety of analytical and statistical applications (SAS, SQL, Python, PySpark, JAVA, Scala) to describe, analyze, and validate trends in large complex data sets.
• Build and develop Proof-of-Concept machine learning outlier detection systems to run in Cloud Platform using Python/PySpark or JAVA/Scala.
• Oversee and validate production processes as they are being developed and implemented.

Qualifications

• 6+ years of experience doing hands-on data analysis.
• Technical expertise regarding data models, data analysis, and segmentation techniques
• Self-sufficiency in querying and extracting data from Cloud based open source platforms like Data Bricks and Snowflake .
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Ability to present fact-based recommendations in a clear, logical, and concise way; "tell a story" with data
• Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
• BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or related quantitative discipline preferred

Must be proactive, results driven and have a proven track record of execution
About Us
JPMorganChase, 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.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.