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About
Abhishek K is a Quantitative Researcher specializing in high-frequency trading (HFT) at AlphaQuest, based in New York. In this role, he focuses on the development and implementation of algorithmic trading models, working closely with low-latency infrastructure and advanced statistical methods to generate and optimize trading signals, primarily across equities and futures markets.
Prior to his current position, Abhishek served as both Quantitative Trader and Junior Quantitative Trader at AlphaQuest, gaining hands-on experience in portfolio management and risk analysis within the HFT sector. His expertise includes alpha generation, backtesting, and market microstructure, with an emphasis on statistical arbitrage strategies and rapid execution protocols.
Abhishek holds degrees from Columbia University and the University of California, Berkeley, reflecting strong foundations in quantitative analysis and financial engineering. He is recognized for his proficiency in Python, C++, machine learning, and time series modeling, contributing to innovative trading solutions and robust research processes within the investment industry.
Career History
| Organization | Role | Date Range | Details |
|---|---|---|---|
| AlphaQuest | Quantitative Researcher - HFT | Jan 2025 to Present | — |
| AlphaQuest | Quantitative Trader | Jan 2024 to Jan 2025 | — |
| AlphaQuest | Junior Quantitative Trader | Jul 2022 to Dec 2023 | — |
| Cutler Group, LP | Quantitative Trading Intern | Oct 2021 to Dec 2021 | — |
| Berkeley Artificial Intelligence Research | Undergraduate Researcher | Jan 2021 to Nov 2021 | - Worked on developing self-play reinforcement learning platform for self-driving vehicles |
| Voloridge Investment Management, LLC | Quantitative Researcher Intern | May 2021 to Aug 2021 | — |
| UC Berkeley Electrical Engineering & Computer Sciences (EECS) | Data Structures Tutor | Jan 2021 to May 2021 | - Lead multiple instructional sections on data structures, hold office hours throughout the week, and help grade exams |
| CyberCube | Machine Learning Intern | Jun 2020 to Aug 2020 | - Developed a natural language processing platform for identifying cyber breach occurrences within text articles by use of features such as named entity recognition, sentiment analysis, TF-IDF vectori... |
| NASA Ames Research Center | Undergraduate Research Assistant | Jan 2020 to May 2020 | -Studied the behavior of pilots in challenging simulations in order to predict how they would act in real life circumstances by taking into account variables such over shoulder video, viewing angles, ... |
| UC Berkeley Electrical Engineering & Computer Sciences (EECS) | CS 61B: Academic Intern | Jun 2019 to Aug 2019 | Assisted course staff on a biweekly basis in teaching students about data structures and various algorithms. |
| Brookhaven National Laboratory | Research Intern | Jun 2017 to Aug 2017 | Researched under Dr. Abid Malik of the Computational Science Initiative at Brookhaven National Labs for seven weeks and published my findings at the IEEE 2017 Supercomputing Conference. |
Education
Columbia University
2024 — 2026
University of California, Berkeley
2018 — 2022
The Wheatley School
2013 — 2018
Skills & Expertise
Others at Quest Partners LLC (8)
| Name | Role | Location |
|---|---|---|
| Lead Quantitative Trader | New York, NY , United States | |
| Partner, Head of Equity Research | New York, NY , United States | |
| Head of Trading and Technology | New York, NY , United States | |
| Quantitative Researcher | New York, NY , United States | |
| Quant Developer | New York, NY , United States | |
| Analyst | NY , United States | |
| Senior Quantitative Researcher | New York, NY , United States | |
R Robert Cocuzzo | Quantitative Trader | New York, NY , United States |
Similar Fund Managers
| Name | Role | Fund | Location |
|---|---|---|---|
A Andrey Belov | Research Analyst | Cramer Rosenthal Mcglynn LLC | Stamford, CT , United States |
B Brian Harvey | Equity Portfolio Manager | Cramer Rosenthal Mcglynn LLC | United States |
Team at Quest Partners LLC
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