Data Scientist, Integrated Risk Mgmt | Remote

remote work; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation support

Healthcare coverage

Education budget

Wellness budget

20 days annual leave

Remote work from anywhere

Job summary

Remote Work is seeking a Data Scientist for its Integrated Risk Management team to build risk models and analytical frameworks across credit, financial, and operational risk domains. You will develop predictive and diagnostic models, partnering with stakeholders to enhance risk visibility and portfolio performance.

You will work on complex quantitative challenges, implementing methods for uncertainty quantification, distributions, and robust decision support using Python or R and standard

Qualifications

• MS or PhD in a quantitative field (Statistics, CS, Mathematics, Physics, Economics, or related).
• 4+ years of hands-on experience in Data Science, Quant Analytics, Risk Modeling, or similar.
• Strong understanding of statistical modeling, probability, and uncertainty quantification.
• Experience with predictive modeling on stochastic datasets in finance or risk domains.
• Proficiency in Python or R with libraries like Pandas, NumPy, SciPy, Statsmodels, Scikit-learn.

Responsibilities

• Develop and implement advanced statistical models for credit and risk portfolios.
• Create NPV models for credit products and per-account analysis.
• Model financial metrics to support robust financial management.
• Analyze distributions, uncertainty, and risk metrics beyond point estimates.
• Collaborate with stakeholders to improve model performance and decision making.

Skills

Python

R

Pandas

NumPy

SciPy

Scikit-learn

Statistics

Communication

Problem solving

Machine learning

Education

MS or PhD in Statistics/CS/Math/Physics/Economics

Tools

Pandas

NumPy

SciPy

Statsmodels

Scikit-learn

Job description

Remote Work is seeking a Data Scientist for its Integrated Risk Management team to build risk models and analytical frameworks across credit, financial, and operational risk domains. You will develop predictive and diagnostic models, partnering with stakeholders to enhance risk visibility and portfolio performance.

You will work on complex quantitative challenges, implementing methods for uncertainty quantification, distributions, and robust decision support using Python or R and standard