Quantitative Finance Analyst

What you'll do

• Develop and maintain quantitative risk and capital models, model systems, and analytical tools.
• Analyze model performance and stress-test results; support validation, governance, and resolution of model issues.
• Partner with Technology, model stakeholders, and business units on model execution, documentation, and communication of results.

What they ask for

• Master’s or PhD in Math, Economics, Statistics, or a similar discipline; the minimum education requirement also allows a related-field master’s degree or equivalent work experience.
• Minimum of 2 years of relevant experience in statistics, data science, machine learning, model development, or other quantitative analysis.
• Experience in data analysis, statistical model estimation, machine learning model implementation and evaluation, and model documentation.
• Strong programming skills in Python and SQL; experience with large, complex datasets and statistical modeling or machine learning techniques.

Nice to have

• Exposure to Hive, Spark, or PySpark.
• Experience with CI/CD and software engineering tools, residential real estate or mortgage markets, model risk governance, or regulated banking models.

Pay

$89,800.00 - $155,000.00 annualized salary (base salary)

Tools

Python, SQL, HDFS, Hive, Spark, PySpark, scikit-learn, XGBoost

AI focus

Develop machine learning or AI models using Python-based frameworks and methods; apply explainability and transparency techniques to support model governance and stakeholder understanding.