Serene S.
Quantitative Analyst@PNC
- Role
- Development Program Analyst at PNC
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Serene S.
Graduating with a Bachelor’s degree in Mathematics and Computer Science from Louisiana State University in 2024, I have transitioned into my role as a Development Program Analyst at PNC. My work centers on developing Python tools for CCAR Stress Testing, integrating multi-asset financial data, and enabling regulatory reporting. I collaborate with cross-functional teams to enhance transaction categorization, data quality, and operational workflows. I bring skills in Python, PySpark, and machine learning, which I have applied to automate processes and support fraud detection analytics. I am motivated by solving complex challenges and creating scalable tools that contribute to impactful decision-making. My educational foundation and hands-on experience in data science and application development fuel my drive to deliver meaningful solutions.
Experience
Development Program Analyst
Aug 2024 — Present · Pittsburgh, PA, US
Developed Python tools for CCAR Stress Testing, integrating multi-asset financial data into regulatory decks. • Collaborated with cross-functional teams to improve transaction categorization and data quality. • Automated data preparation in PySpark, supporting vendor fraud detection models and analytics. Developed a machine learning model that adds to the application processing steps.
Education
Louisiana State University
Bachelor of Science - BS, Mathematics and Computer Science
2020 — 2024
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