Kashish Bansal — Software Engineer

I’m a current Financial Engineering graduate student at Columbia University with a strong foundation in quantitative analysis, data modeling, and algorithmic problem-solving. My experience spans software engineering, financial data science, and risk modeling, where I’ve built scalable solutions that improved efficiency and delivered measurable results. Skilled in Python, C++, and advanced statistical techniques, I enjoy applying mathematics and machine learning to solve complex problems in finance and technology. Previously at Goldman Sachs, Microsoft & Aimlay I engineered automation frameworks, optimized analytics workflows, and implemented forecasting models that improved accuracy and operational efficiency. I’m passionate about leveraging quantitative methods and technology to drive impactful financial strategies. Always eager to collaborate, learn, and explore opportunities in quantitative research, risk management, and algorithmic trading.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative analysis and software engineering.

Location: New York, New York, United States

Experience: 4 yrs 7 mos