Soumya Ranjan Mohapatra
Quantitative Analyst, Algorithmic Trading (AVP) @HSBC
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WORK HISTORY
Quantitative Analyst, Algorithmic Trading (AVP) @HSBC
Bengaluru, IN
Developed pricing models using quantitative methods and machine learning for bond market making.• Analyzed market microstructure features for quoting investment-grade bonds.• Integrated real-time markets feeds into pricing systems using Scala and Q/KDB.• Conducted P&L attribution for bond baskets and recommended hedging strategies• Supported the algo trading desk in expanding product coverage to retail clients in Asian markets.• Collaborated with trading, sales, compliance, and IT to ensure alignment between trading strategy and regulatory goals.
EDUCATION
Georgia Tech Scheller College of Business
Master's degree
Indian Institute of Technology, Delhi
Bachelor of Technology (BTech)
ABOUT SOUMYA RANJAN MOHAPATRA
Curious about markets and driven by data, I bring 9 years of cross-functional experience across quantitative modeling, electronic trading, and financial technology. I’m currently pursuing my Master’s in Quantitative and Computational Finance at Georgia Tech. • Analytical Skills: At HSBC, I have worked on bond pricing models to support market-making strategies, leveraging market microstructure features, technical indicators, and portfolio utility theory to identify short-term trading opportunities. At Deutsche Bank, I designed risk frameworks that required a deep understanding of market behavior, trade data, and regulatory drivers. • Technical Expertise: Fluent in Python, Java, Scala, C++, and Q/KDB, I have built scalable analytics systems and integrated real-time data feeds into trading models. At Citi, I re-engineered distribution workflows, achieving a 90% reduction in processing time. I’ve also designed REST APIs, implemented high-throughput pipelines with Kafka and Storm, and contributed to modernizing monolithic architectures using containerized solutions. • Product & Market Understanding: I’ve priced investment-grade and emerging market bonds, supporting over $500k in average weekly P&L. My experience spans fixed-income markets, as well as equities and repo, with a focus on execution efficiency and liquidity optimization. • Leadership & Collaboration: I’ve led cross-functional initiatives across trading, sales, IT, and compliance to align technology with business objectives and regulatory standards. In addition to mentoring junior analysts and onboarding new hires, I’ve actively contributed to cultural and mentorship programs across my professional journey, fostering inclusive and high-performing team environments. I’m seeking quantitative research or trading internships where I can apply my financial intuition, data skills, and execution-focused mindset to contribute to high-performance trading strategies. Reach me at s••••••••@gatech.edu
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