Headline

Product @ Scapia | ex-Flipkart, Morgan Stanley

About

Hey! I'm Souradeep (Saura). Currently building at Scapia - a fintech aiming to revolutionise how young India thinks about and does travel. Previously led several charters within Flipkart at FCC - https://www.flipkartcommercecloud.com/ as an IC PM with ~4 yrs experience across domains like fintech, ecommerce & SaaS (joined directly after undergrad as part of the prestigious APM program). During my undergrad, I got exposure to a variety of technical opportunities in fields like data science, machine learning, electronics and mathematical finance that helped nurture and develop a knack for data-driven problem-solving. Coupled with an innate instinct for user centricity and skill in innovative problem solving, I wholeheartedly love my work currently, where I can create deep lasting impact across the Product lifecycle (with special expertise in building 0-1 products). I also love philosophy, music and academic/industrial research; having previously delved into deep/reinforcement learning and published a few papers on the applications of these technologies to 5G communications as well as finance.

Location

India

Work experience

Product at Scapia, Aug 2025 - Present · 1 yr 1 mo, Bangalore Urban, Karnataka, India, Shaping the future of travel with relentless product innovation at the intersection of fintech and wanderlust

Product Manager at Flipkart, Jun 2021 - Aug 2025 · 4 yrs 3 mos, Search & Browse, Catalog, Pricing

Quantitative Risk Analyst at Morgan Stanley, Jan 2021 - Jun 2021 · 6 mos, Mumbai, Maharashtra, India, - Developed a new optimised model for Corporate Credit risk that is able to tackle statistical outliers observed during Mar-Apr 2020 of the COVID-19 pandemic, thereby reducing residual errors by over 15%. - Automated the process of generating systematic loan data using python by containerizing codes from kdb+/Q, R, and STATA, reducing execution time drastically from 30 mins to <1 min per week. - Performed investigative research into the core components of Morgan Stanley’s vast corporate credit portfolio and analyze the top drivers of risk as well as nuances like multicollinearity of regressors. Received a PPO.

Machine Learning Engineer at RAFA AI, May 2020 - Jan 2021 · 9 mos, Sunnyvale, California, United States, - Primarily responsible for developing multiple key features and releases including the flagship Ramanujan AI model (using deep language models) for multi-horizon timeseries forecasting (generating weekly forecasts). - Created workbenches for managing 40+ years of financial data, thereby saving over 30% (or 5 seconds), in execution time for low-latency services. - Saved over $8/hr in computational costs using data parallelism with multiple GPUs fortraining large models.

Computational Finance Intern - Fixed Income Division at National Stock Exchange of India Limited, Apr 2020 - Jul 2020 · 4 mos, - Developed a fixed-income attribution model, able to account for 100% complex factors to decompose portfolio returns. - Stress-testing using Python on over 300 fixed-income portfolios offered by Indian banks (like the SBI Corporate Bond Fund), under varying market conditions.

Education

Undergraduate, Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani - Goa Campus

CBSE, Science class 12, DPS Ruby Park, Kolkata