Quantitative Researcher
CurrentQuantitative researcher for market making in digital assets. Optimal quoting, trade execution, and proprietary trading strategies.
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Joseph Jerome is listed as Quantitative researcher | high-frequency trading, digital assets, market making, machine learning, reinforcement learning at Keyrock, a with 39 employees, based in United Kingdom. AeroLeads shows a matched LinkedIn profile for Joseph Jerome.
Joseph Jerome previously worked as Quantitative Researcher at Keyrock and Postdoctoral Research Associate at University Of Liverpool. Joseph Jerome holds Doctor Of Philosophy - Phd, Statistics, Pass With No Corrections -- Received Harrison Award For Highly Commended Thesis from University Of Warwick.
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I am a quantitative researcher with extensive experience in developing and optimizing automated high-frequency trading strategies, focusing on digital assets. Previously, as an academic researcher, I worked at the intersection of machine learning, market microstructure, and high-frequency equities trading. I am proficient in Python and Linux, with comprehensive experience in the Python data science and machine learning stack.For more information, see my academic webpage: jjjerome.github.io/Also, see my public projects on my github: github.com/JJJerome
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Brussels, Brussels Region, Belgium
Quantitative researcher for market making in digital assets. Optimal quoting, trade execution, and proprietary trading strategies.
Liverpool, England, United Kingdom
Postdoctoral machine learning research in the computer science department. Working on optimising high-frequency trading strategies using reinforcement learning, deep generative models and mathematical finance.- Built and open-sourced popular high-frequency trading training environments.- Introduced and investigated novel multi-order placement strategies for a trading agent.- Improved robustness of a deep generative order-flow simulator using an adversarial reinforcement learning
Leamington Spa, Uk
PhD research in the Statistics department working on a problem in financial stochastic optimal control theory. PhD thesis title: Optimal Investment and Consumption under Infinite Horizon Epstein–Zin Stochastic Differential Utility- Published in top-tier stochastic finance journals such as Mathematical Finance and Finance and Stochastics.- Gave the first complete solution to a problem studied since the 70s – using elementary stochastic analysis.- Proved that a highly popular model from the economics literature leads to “utility bubbles”.- Gained a deep technical understanding of mathematical fields such as stochastic optional control, partialdifferential equations, backwards stochastic differential equations and financial economics.- Started and ran reading groups on deep RL, Python for finance and computational Bayesian statistics.Participated in many more on topics from stochastic analysis and control, maths finance and comp finance.- In my free time, with two other software developers, built a cryptocurrency perpetual futures trading system.
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Jakob Wüthrich
Colleague at KeyrockInnsbruck, Tyrol, Austria
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Mert Cicigun
Colleague at KeyrockBrussels Metropolitan Area, Belgium
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David Bui
Colleague at KeyrockBrussels, Brussels Region, Belgium
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Simon Ruiz
Colleague at KeyrockMedellín, Antioquia, Colombia
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Tomáš Buriánek
Colleague at KeyrockBrno, South Moravia, Czechia, Czech Republic
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Rebecca Neal
Colleague at KeyrockBrussels Region, Belgium
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Alejandro Z.
Colleague at KeyrockGreater Buenos Aires, Argentina
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Marc Montull
Colleague at KeyrockSwitzerland
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Adrian Y.
Colleague at KeyrockHong Kong Sar, Hong Kong
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Nick Kokkaliaris
Colleague at KeyrockLondon, England, United Kingdom
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Activities and Societies: Started and ran reading groups on deep RL, Python for finance and computational Bayesian statistics..
Modules taken include: probability with martingales, stochastic processes and finance, discrete probability, set theory, measure theory.
Modules taken include: probability with martingales, stochastic processes and finance, discrete probability, set theory, measure theory.
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Joseph Jerome works for Keyrock.
Joseph Jerome is listed as Quantitative researcher | high-frequency trading, digital assets, market making, machine learning, reinforcement learning at Keyrock.
Joseph Jerome is based in United Kingdom while working with Keyrock.
Joseph Jerome has worked for Keyrock, University Of Liverpool, and University Of Warwick.
Joseph Jerome's colleagues at Keyrock include Jakob Wüthrich, Mert Cicigun, David Bui, Simon Ruiz, and Tomáš Buriánek.
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Joseph Jerome holds Doctor Of Philosophy - Phd, Statistics, Pass With No Corrections -- Received Harrison Award For Highly Commended Thesis from University Of Warwick.
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