Data Scientist

Technical Proficiency:
Strong coding skills in languages like Python, and SQL; experience with machine learning libraries (e.g., Tensor Flow, PyTorch, scikit-learn).

Statistical Expertise:
Deep understanding of statistical modeling, probability, and advanced mathematical concepts.

Domain Knowledge:
Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking.

Soft Skills:

Excellent technical writing and stakeholder communication; the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams.

Model Validation:
Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks.

Risk Assessment:
Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards).

Compliance & Governance:
Ensure all modeling life cycles align with internal MRM frameworks and regulatory mandates.

Effective Challenge:
Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations.

Documentation:
Author comprehensive validation reports and maintain documentation for audit purposes and senior management review

Salary Range: $90,000 to $105,000 per year

Irving, TX

TECHNOLOGY

Data Scientist

414155

Data Science

Qualifications:

BACHELOR OF COMPUTER SCIENCE