Purvendra Kushvansh — Product Manager

As a passionate Quantitative Research Consultant and Data Engineer, I thrive at the intersection of financial markets and technology. With over three years of self-directed experience in Indian financial markets, I have honed my skills in quantitative trading, algorithmic model development, and backtesting strategies. I specialize in creating Alpha quant models, leveraging diverse datasets to design long-short, low-risk strategies, most notably during my tenure at WorldQuant. In parallel, my expertise in data engineering allows me to build and manage real-time data pipelines, integrating large-scale datasets with cloud-based solutions. I am proficient with AWS (EC2, S3, Glue, Athena), Apache Kafka, and a robust tech stack including Python, SQL, and big data tools like Hadoop and Spark. I have hands-on experience in end-to-end data engineering projects, enabling real-time analysis and decision-making for financial data. Whether optimizing data flows or developing cutting-edge quant models, I am driven by problem-solving and critical thinking, always seeking to innovate in high-pressure environments. My goal is to bridge the gap between complex financial markets and scalable data solutions, open to opportunities in both quantitative research and data engineering. Let’s connect if you’re looking for someone with strong analytical and quantitative skills, hands-on technical expertise, and a passion for leveraging data to drive insights and performance.

Stackforce AI infers this person is a Fintech professional specializing in quantitative research and data engineering.

Location: Ahmedabad, Gujarat, India

Experience: 4 yrs 5 mos