Data Scientist

Chicago, IL

Full-time

Onsite

$122K/yr - $155K/yr

Entry, Mid Level

JPMorganChase is one of the world's oldest and largest financial institutions, known for its innovative financial solutions. The Data Scientist will focus on optimizing loan portfolio performance through complex data analysis, developing credit performance metrics, and delivering insights to senior business stakeholders.

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Responsibilities

Interpret large and complex data to design and execute analytical use cases focused on optimizing loan portfolio performance.
Conduct analyses in areas including customer attrition and borrowing behavior of corporate and middle market clients, risk-based product pricing, credit risk early warning, and effectiveness of end-to-end credit delivery processes.
Develop credit performance metrics and deliver insights on trends, anomalies, and constraints using advanced analytical and statistical approaches.
Apply advanced data mining and machine learning techniques to analyze factors that influence metrics that must accommodate testable assumptions and lead to predictive scoring capabilities.
Interface with senior business stakeholders to understand analysis requirements, explain results, and hone analytics to address business concerns and evolving management strategies.
Deliver monthly executive management reporting on portfolio health to Credit Risk leadership leveraging custom analytical workflows.
Drive quality control efforts and ensure analytics meets quality, control, and consistency standards.

Qualification

Required

Master's degree in Operations Research, Statistics, Applied Mathematics, Data Science, Quantitative Finance or related field of study plus 2 (Two) years of experience in the job offered or as Data Scientist, Quantitative Risk Management, Merchant Services, Quantitative Finance, Data Engineer, Analytical Software Engineer, Business Intelligence Analytics, or related occupation.
Experience with client behavior classification and scoring.
Experience building statistical, time-series or multivariate regression credit-risk models.
Experience correlating data patterns to intrinsic or external drivers.
Experience with statistical modeling using SAS, R, or Python.
Experience querying large transactional and reference data using SQL on Oracle, Teradata, or AWS Redshift.
Experience presenting technical solutions and results to executive-level audiences with compelling data visuals using PowerPoint, Tableau, or Qlik.
Experience authoring technical specifications to data architecture and technology deployment teams.
Experience implementing production solutions using Agile SDLC.
Experience with Atlassian collaboration tools including Jira or Confluence.
Experience building and maintaining data workflow and process automation solutions using SAS or Alteryx on local or server instances.
Experience meeting audit and regulatory requirements for analytical or modeling solutions.
Experience managing data projects end-to-end including working with stakeholders on capturing requirements and product user adoption.

Preferred

Benefit

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

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Founded in 2000

New York, New York, USA

10001+ employees

https://www.jpmorganchase.com/

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