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Quantitative researcher with experience in market-neutral equity strategies and volatility modeling for options market making. Expertise in managing teams of quant researchers and developing and mentoring talent. PhD in computational astrophysics with experience in machine learning and high-performance computation. Lead organizer of national conference on science communication. Accomplished teacher with passion for outreach and improving science literacy.
Walleye Capital
View- Website:
- walleyecapital.com
- Employees:
- 382
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Senior Quantitative Researcher - QuanticWalleye CapitalBoston, Ma, Us -
Senior Quantitative ResearcherWalleye Capital Oct 2024 - PresentNew York, Ny, Us -
Senior Quantitative ResearcherSemanteon Capital Jun 2023 - Oct 2024Newton, Ma, UsLead research and development of machine-learning based market-neutral equity strategy (low-frequency, multiple days).Specialize in risk management (multi-factor models), portfolio optimization, pnl attribution, and development of new alpha signals. -
Quantitative ResearcherAkuna Capital Jan 2021 - Apr 2023Chicago, Il, UsManager of Boston Quant Research team (5 direct reports). Led research of mid-frequency (minutes/hours) volatility modeling for options market making on indices, commodities, rates, and equities. Our team specialized in volatility surface modeling and realized volatility (gamma) strategies.Developed and traded an internal-facing, automated gamma strategy. Registered as Securities Trader Representative (FINRA Series 57).Coordinated ongoing cross-department research collaboration with market making trading desks. -
Junior Quantitative ResearcherAkuna Capital Aug 2019 - Jan 2021Chicago, Il, Us -
Phd CandidateHarvard University Aug 2014 - Aug 2019Cambridge, Massachusetts, UsAs a graduate student, I work in the intersection of astrophysical models and high-performance computation. My thesis project focuses on a new technique modeling so-called "Pixel Color-Magnitude" diagrams, or the distribution of pixel fluxes and colors in Hubble Space Telescope images of galaxies. My previous project involved analysis of the large datasets output by the Illustris suite of simulations. In addition to astrophysics research, I am also pursuing my interests in data science and machine learning through a secondary field in "Computational Science and Engineering". -
Graduate Teaching FellowHarvard University 2015 - 2016Cambridge, Massachusetts, UsServed as teaching fellow for two courses at Harvard: Astro 17 (introductory astronomy course for undergraduates) and Astro 200 (first-year graduate astronomy course). My duties included holding office hours and review sessions, grading assignments, and occasionally substitute lecturing for the course instructor. Awarded Bok Center Certificate of Teaching Excellence twice in two eligible semesters of teaching. -
Quantitative Analyst InternThe D. E. Shaw Group Jun 2018 - Aug 2018New York, Ny, UsDesigned Tensorflow deep neural network models to predict mortgage prepayment risk.Trained and evaluated models on database of over 200M records representing 12M loans.Demonstrated potential of neural networks for identification of tradeable insights and improved predictive power over linear models.
Ben Cook Skills
Ben Cook Education Details
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Harvard UniversityAstrophysics -
Harvard UniversityAstronomy And Astrophysics -
Princeton UniversityAstrophysics
Frequently Asked Questions about Ben Cook
What company does Ben Cook work for?
Ben Cook works for Walleye Capital
What is Ben Cook's role at the current company?
Ben Cook's current role is Senior Quantitative Researcher - Quantic.
What is Ben Cook's email address?
Ben Cook's email address is be****@****tal.com
What is Ben Cook's direct phone number?
Ben Cook's direct phone number is +160331*****
What schools did Ben Cook attend?
Ben Cook attended Harvard University, Harvard University, Princeton University.
What are some of Ben Cook's interests?
Ben Cook has interest in Science And Math Outreach, Politics, Education, Economics, Science And Technology, High Performance Computing, Astronomy.
What skills is Ben Cook known for?
Ben Cook has skills like Data Science, High Performance Computing, Machine Learning, Python, C, Markov Chain Monte Carlo, Astrophysics, Teaching, Science Outreach, Public Speaking, Computer Science, Latex.
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