Improver

Rachel G.

Data Science / Quantitative Data Analytics professional in Freddie Mac

Arlington, Virginia

Extensive experience in data science analytics, machine learning, statistical modeling, experimental design, data visualization and reporting, segmentation analysis, A/B Testing and stress testing to recognize patterns, build predictive models, design experiments, analyze root cause, solve challenging business problems and transform data into real Solutions and profit growth.
Excellent cross team collaboration and project management skills with experience working with different level and cross functional stakeholders.

Proficient in Python, SAS, SQL, Spark, Tableau, Excel, Bloomberg, UNIX, VBA, Git,Agile, Jira
Comprehensive working experience in mortgage and capital market with knowledge in portfolio analytics, capital and risk analysis , Securitization, Credit Risk Transfer products, Credit Risk models and stress testing.

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Experience:

• Senior Quantitate Data Analyst (The Oakleaf Group)
• Lead Quantitative Data Analyst (Freddie Mac)

Skills: