Credit Data Modeler

Optum Services, Inc.

Remote · USFull-time$156–262K/yrSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation

$156–262K/yr

Location

Remote · US

Schedule

Full-time

Work Authorization

Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Optum Services seeks a Credit Data Modeler to develop and maintain credit risk models for scoring, default and loss forecasting, underwriting, fraud detection, credit line management, and collections. The role includes feature development, data vendor evaluation, production deployment, model monitoring and validation, and collaboration with engineering, product, and other teams. Telecommuting is available from anywhere in the U.S.

Skills & qualifications

RequiredNice to have

Skills

PythonRSQLTableauPower BICredit Risk ModelingMachine LearningGradient BoostingNeural NetworksRandom ForestLoss Forecasting ModelingPDLGDEAD

Qualifications

Master's in Statistics, Computational Mathematics, Data Science, or Related Field24 Months Data Modeler Experience

Full job description

Job Duties

EMPLOYER: Optum Services, Inc.

JOB TITLE: Credit Data Modeler

LOCATION: 1 Optum Circle, Eden Prairie, MN 55344 (Telecommuting available from anywhere in the U.S.)

DUTIES: Develop and maintain predictive models for application and behavioral scoring, probability of default (PD), loss given default (LGD), and early risk detection; design models for underwriting, fraud detection, credit line management, and collections strategies; create advanced features using alternative financial data sources; evaluate new data vendors and enrich internal datasets to improve model performance; decipher models from prototype to production in partnership with Data Engineering and Product teams; build interpretable and compliant models aligned with FCRA, ECOA, and fair lending standards; oversee model monitoring, validation, reporting and back testing, regularly recalibrate for shifts in macroeconomic conditions or borrower behavior; work with cross-functional teams to integrate model outputs into strategy; and communicate insights clearly to technical and non-technical stakeholders. Telecommuting is available from anywhere in the U.S.

REQUIREMENTS: Employer will accept a Master’s degree in Statistics, Computational Mathematics, Data Science, or a related field and 24 months of experience in the job offered or in a data modeler - related occupation.

Experience must include:

Python;
R;
SQL;
Tableau/Power BI;
Credit risk modeling;
Machine learning including gradient boosting, neural networks and random forest; and
Loss forecasting modeling including PD, LGD and EAD.