Khashayar Khosravi

Khashayar Khosravi is a Quantitative Researcher at Jump Trading LLC in Chicago (LinkedIn index lists the role from 2021; FINRA broker registration with Jump Trading effective 2024). He holds a PhD in Electrical Engineering from Stanford (2014-2019, advisor Mohsen Bayati) and bachelor's degrees in Electrical Engineering and Mathematics from Sharif University of Technology (2009-2014). Earlier roles include AI Resident at Google Research (Algorithms & Optimization team, 2020-2021) and Lecturer at Stanford GSB (2019-2020). He won a gold medal at the 50th International Mathematical Olympiad (Germany, 2009) representing Iran.

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• Quant employment verification: CONFIRMED. Khashayar Khosravi is employed as a Quantitative Researcher at Jump Trading LLC, Chicago. Evidence: FINRA BrokerCheck (CRD# 7501345) lists him as "Currently employed by and registered with" JUMP TRADING, LLC, 600 West Chicago Avenue, Chicago — a regulatory filing, i.e. independent primary source, not a scraped index. Corroborated by his own LinkedIn headline ("I am a QR at Jump Trading"; role listed 2021-) and Google Scholar/X. Employer classification: Jump Trading LLC is a proprietary algorithmic/high-frequency trading firm and market maker, which squarely qualifies as quantitative trading. His own prior list of "Jump Trading LLC / Jump Trading - Quantitative Researcher" leads is therefore verified. This is actual employment (not a student program, competition, or an incoming offer).2024
• Quant employment verification: CONFIRMED. Khashayar Khosravi is employed as a Quantitative Researcher at Jump Trading LLC, Chicago. Evidence: FINRA BrokerCheck (CRD# 7501345) lists him as "Currently employed by and registered with" JUMP TRADING, LLC, 600 West Chicago Avenue, Chicago — a regulatory filing, i.e. independent primary source, not a scraped index. Corroborated by his own LinkedIn headline ("I am a QR at Jump Trading"; role listed 2021-) and Google Scholar/X. Employer classification: Jump Trading LLC is a proprietary algorithmic/high-frequency trading firm and market maker, which squarely qualifies as quantitative trading. His own prior list of "Jump Trading LLC / Jump Trading - Quantitative Researcher" leads is therefore verified. This is actual employment (not a student program, competition, or an incoming offer).
• Registered with Jump Trading LLC per FINRA BrokerCheck CRD# 7501345; the registration and firm address (600 West Chicago Avenue, Chicago) are a regulatory record of employment, distinct from and stronger than any aggregator.2024
• Won a gold medal representing the Islamic Republic of Iran at the 50th International Mathematical Olympiad (Germany, July 2009), scoring 37/42 (93.6%); the IMO team page for Iran 2009 lists him with a G in the medal column.Jul 2009
• Google Scholar profile (verified email stanford.edu) reports ~2075 citations; his most-cited paper is "Mostly Exploration-Free Algorithms for Contextual Bandits" (Bastani, Bayati, Khosravi; 2017, cited ~295).2026
• Pre-Jump career is entirely software/ML research (Google, Microsoft, Adobe, EPFL) and academia — no quantitative-finance employer appears before Jump Trading; Jump is the only quant-finance role in the timeline.2021
• Was an AI Resident at Google Research NYC on the Algorithms & Optimization Team (April 2020-2021) after finishing his PhD — a research residency, not a trading role; his personal bio and GitHub still describe him by this title.2020
• PhD in Electrical Engineering, Stanford University (2014-2019), advised by Mohsen Bayati; also earned a Stanford MS in EE (2014-2016) in the same period.2019
• Publication record spans multi-armed bandits, causal inference and optimization: "Non-Parametric Inference Adaptive to Intrinsic Dimension" (Khosravi, Lewis, Syrgkanis; 2019), "Batched Neural Bandits" (Gu, Karbasi, Khosravi, Mirrokni, Zhou; 2021) and "Bandits with Evolving States for Online Platforms" (2023).2023
• Lecturer at Stanford Graduate School of Business (September 2019-April 2020), bridging his PhD and Google residency.2019
• Industry research internships before Jump: Microsoft Research, Cambridge MA (Research Intern, Jun-Sep 2018) and Adobe, San Jose (Machine Learning Scientist Intern, Jun-Sep 2016); both are software/ML research, not quantitative finance.2018
• Co-authored "Matrix Completion Methods for Causal Panel Data Models" with Susan Athey, Mohsen Bayati, Nikolay Doudchenko and Guido Imbens (2017), and is listed as an NBER-affiliated researcher — evidence of a serious academic network, distinct from his trading career.2017