Kushal Gowda G V — Associate Consultant
I am Kushal Gowda Guruvinamata Venugopal, a curious and dedicated Quantitative Researcher with a passion for financial engineering and data-driven decision-making. Currently, I am honing my skills at Lehigh University, pursuing an MS in Financial Engineering with a focus on Data Science and Financial Analytics. My professional experience is enriched by my tenure at esteemed institutions such as HTTS - High Tech Trading System Fund and Finominal (Factor Research). Here, I've been at the forefront of developing innovative Fin-Tech solutions, including the pioneering of a crypto arbitrage strategy and the creation of tools like the Volatility Optimizer. These endeavors have been underpinned by my proficiency in languages and tools like C++, Python, R Studio, and MATLAB. My commitment to the quant realm is further solidified by my involvement in transformative projects. I've harnessed the power of Generative AI and Chat GPT for robust data extraction, and I've led initiatives that emphasize the use of advanced algorithms and machine learning models in the financial sector. Certifications such as the C++ Nano Degree from Udacity and the Executive Program in Algorithmic Trading from QuantInsti are testaments to my dedication to continuous learning and staying updated with the latest in the field. In addition to my academic and professional pursuits, I take immense pride in serving as a Graduate Ambassador for Lehigh University. This role allows me to represent the institution, connect with budding professionals, and promote the values that Lehigh stands for. With a keen interest in exploring the latest methodologies and technologies in quantitative finance, I am always on the lookout for collaborative opportunities that drive innovation and growth in the industry. Let's connect and chart a path to financial excellence together!
Stackforce AI infers this person is a Fintech professional with strong quantitative research and development skills.
Location: New York, New York, United States
Experience: 4 yrs 4 mos
Skills
- Quantitative Finance
- Statistical Modeling
- Communication
- Quantitative Research
- Cryptocurrency Trading
- Machine Learning
- Quantitative Development
- Data Engineering
- Risk Management
- Software Engineering
Career Highlights
- Pioneered innovative Fin-Tech solutions.
- Expertise in quantitative finance and data-driven decision-making.
- Strong background in machine learning and statistical modeling.
Work Experience
Lehigh University College of Business
Graduate Research Assistant (10 mos)
Trade Terminal
Quantitative Research Intern (5 mos)
Lehigh University
Graduate Ambassador Master's in Financial Engineering (MFE)- RCEAS (1 yr 8 mos)
HTTS High Tech Trading System Fund
Quantitative Reasearcher (1 yr)
Algorithma
Quantitative Developer (6 mos)
Finominal
Quantitative Research Analyst (1 yr 2 mos)
Chira Information Technologies - India
Software Engineer (2 mos)
Self-employed
Options Trader (1 yr 9 mos)
Education
Master’s in Financial Engineering at Lehigh University
Nanodegree In C++ at Udacity
EPAT (Executive programming in algorithamic trading ) at QuantInsti
A1 at Alliance francaise de bangalore
Bachelor of Engineering - BE at Dr. Ambedkar Institute Of Technology
PCMB at Vidya mandir ind pre university college
Indian council of secondary education (ICSE) at St. Mary’s public school
