at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
No clicks
**Quantitative Modeling [Multiple Openings]** Design and develop tools for prototyping, evaluating, and deploying models. Collaborate with modelers, analysts, and platform teams to enhance modeling tools and drive business insights. Leverage open-source or proprietary tools, and optimize data for querying and reporting. Minimum 7 years of experience and a Bachelor's degree in relevant field. Proficient in Python, R, SQL, Spark, and Hadoop on Unix/Linux platforms. Familiarity with AWS Cloud, including Amazon S3, Spark, and EMR. Experience in consumer lending, loan servicing, and risk modeling desired.
- Compensation
- Not specified
- City
- Columbus
- Country
- United States
Currency: Not specified
Full Job Description
Location: Columbus, OH, United States
DESCRIPTION:
Duties: Design, develop, and build tools to support prototyping, experimenting, evaluating, and deploying models. Work with modelers and analysts to collect feedback on modeling tools for product designs. Work with platform teams to leverage existing platforms to build modeling tools and provide improvement feedback. Evaluate and select open source or proprietary tools required to meet data and modeling requirements. Answer key business questions by leveraging existing data assets or creating new ones. Support the modelers with technology and infrastructure needs, Line of Business data and related analysis, and improve and expand data capabilities, data manipulation, query efficiency techniques, reporting, and automation.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Engineering (Any), Computer Science, Information Technology, Statistics, Mathematics, Economics, Finance, Business, or related field of study plus 7 years (84 months) of experience in the job offered or as Quant Modeling Lead, Technology Analysts, Manager-Projects, Consultant, or related occupation.
Skills Required: This position requires seven (7) years of experience with the following: Designing and developing source code for analytical application using automated and distributed data processing systems on UNIX and Hadoop platforms; Data acquisition, transformation, feature engineering, exploratory analysis, visualization, and data storage using data science and analytics tools including SQL, Spark, Python, R, and SAS; Automations using UNIX or LINUX shell scripts integrating Python, Distributed framework Spark, RDBMS such as Teradata, Oracle, or any Cloud database such as Snowflake; Storing and versioning source code using version control tools and processes such as Bitbucket or Git; Origination, sale and servicing, default management and loss mitigation, credit risk modeling, and loss forecasting methodology with Consumer Lending including Auto Finance, Home Lending, Card, and Business Banking lending lifecycle. This position requires three (3) years of experience with the following: Designing and Developing distributed Analytical application on AWS Cloud using Amazon S3, Apache Spark, and Amazon EMR.
Job Location: 1111 Polaris Parkway, Columbus, OH 43240.
Full-Time.
