Senior Credit Risk Data Scientist (Remote)

Jobgether SRL; United States; Remote; USD 130,000 - 163,000; Full time

Benefits offered by this job

Fully remote

Medical plan options

HSA options

FSA

Dental and vision

Company-paid life insurance

Disability coverage

401(k) with company match

Generous paid time off

11 paid holidays

Inclusive workplace

Job summary

Jobgether SRL partnered role seeks a Credit Risk Data Scientist II in the United States. You will oversee development, validation, and monitoring of credit risk models for decisions, risk management, and regulatory reporting.

You will apply advanced statistics, ML, and econometrics to PD, LGD, and EAD; support CECL, stress testing, and governance; communicate findings to senior stakeholders. The role is fully remote, requires strong quantitative skills, and offers exposure to macroeconomic

Qualifications

• Bachelor's degree in a quantitative field required.
• Master's degree in a quantitative field preferred.
• 7 years of experience in credit risk modeling, model development, validation, or related quantitative functions.
• Experience with PD, LGD, and EAD methodologies for Expected Loss models.
• Strong background in machine learning, statistics, econometrics and data science for credit risk and loss forecasting.
• Experience with CECL modeling, implementation, and production of quantitative and qualitative components.
• Knowledge of Basel III, IFRS 9, CCAR/DFAST, Dodd-Frank, and related credit risk standards.
• Proficiency with Python, R, SAS, SQL or similar data science tools.
• Strong data quality and data management understanding for modeling inputs/outputs.
• Excellent communication and presentation skills for technical and non-technical stakeholders.

Responsibilities

• Oversee development, validation, and performance monitoring of credit risk models for decisions, risk management, loss forecasting and regulatory reporting.
• Apply advanced statistics, econometrics, ML, and data science techniques to credit risk modeling and forecasting.
• Support models based on PD, LGD, and EAD frameworks.
• Strengthen the model governance framework across development, production, validation, and monitoring.
• Evaluate model performance via back testing, monitoring, validation, and remediation.

Skills

Quantitative analytics

Communication skills

Regulatory awareness

Education

Bachelor's degree in quantitative finance/related

Master's degree in financial engineering/data science

Tools

Python

R

SAS

SQL

Job description

Jobgether SRL partnered role seeks a Credit Risk Data Scientist II in the United States. You will oversee development, validation, and monitoring of credit risk models for decisions, risk management, and regulatory reporting.

You will apply advanced statistics, ML, and econometrics to PD, LGD, and EAD; support CECL, stress testing, and governance; communicate findings to senior stakeholders. The role is fully remote, requires strong quantitative skills, and offers exposure to macroeconomic