Pryanshu Arora

CEO

London, United Kingdom7 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in high-frequency trading strategies.
  • Proficient in low-latency execution systems.
  • Strong background in algorithm development.
Stackforce AI infers this person is a Fintech professional with expertise in high-frequency trading and algorithmic strategies.

Contact

LinkedIn

Skills

Core Skills

Options StrategiesHftOption Pricing ModelsLow LatencyDeep Learning

Other Skills

Algorithm DesignAlgorithmsCC++Competitive programmingComputer ScienceData MiningData StructuresInformation RetrievalJavaMachine LearningProgram DevelopmentPyTorchPythonjavas

About

As a High-Frequency Quant Trader at AlphaGrep, I specialize in equity and index options, leveraging ultra-low-latency execution to capitalize on fleeting market inefficiencies. I craft advanced algorithmic strategies, optimize infrastructure, and manage complex risk in dynamic, high-speed environments. With a strong background in computer science and mathematics, I have developed robust option pricing infrastructure and low-latency execution systems as a Quant Developer at AlphaGrep. Prior to that, I was a Software Engineer at Meta, where I honed my skills in software development and problem-solving. I am passionate about applying my technical expertise to create innovative solutions in the financial industry.

Experience

Alphagrep

2 roles

Quantitative Trader

Promoted

Jan 2025 – Present · 1 yr 2 mos · On-site

  • High-Frequency Quant Trader specializing in equity and index options, leveraging ultra-low-latency execution to capitalize on fleeting market inefficiencies. Adept at crafting advanced algorithmic strategies, optimizing infrastructure, and managing complex risk in dynamic, high-speed environments.
Options StrategiesOption Pricing ModelsLow LatencyHFT

Quantitative Developer

Jul 2023 – Mar 2025 · 1 yr 8 mos · On-site

  • Quant Developer specializing in robust option pricing infrastructure and developing low-latency execution systems.
Option Pricing ModelsLow Latency

Meta

Software Engineer

Jan 2022 – Jul 2023 · 1 yr 6 mos · Greater London, England, United Kingdom

Nutanix

2 roles

Member Of Technical Staff - 3

Promoted

Jan 2020 – Sep 2021 · 1 yr 8 mos

  • Designed and implemented a backup service offering by Nutanix
  • for workloads running on the Nutanix Xi Cloud .The service provides
  • a policy based DR and backup for user VMs to NFS and S3 targets.
  • Worked on building the Recovery Plan application that orchestrates
  • migration of virtual machines with added features such as network
  • mapping and automatic VM placement on Xi cloud among many others.

Member Of Technical Staff

Jul 2018 – Jan 2020 · 1 yr 6 mos

Singapore university of technology and design (sutd)

Research Assistant

Jan 2018 – Jun 2018 · 5 mos · Singapore

  • Published a research paper Automated Directed Fairness Testing
  • https://arxiv.org/pdf/1807.00468.pdf which provides polynomial
  • time algorithm to give a measurable notion of fairness. It also provides a
  • retraining algorithm which effectively retrains the model so as to
  • increase the fairness by taking into consideration the appropriate
  • Architected a Neural Network based Intrusion Detection System for self-driving
  • vehicles using generative and memory based models, leveraging sequential nature
  • of data from real time driving, using Pytorch.

Wat consult

Intern

May 2015 – Jul 2015 · 2 mos · Greater Delhi Area

Education

Birla Institute of Technology and Science, Pilani

Msc Mathematics & B.E Computer Science — Computer Science

Jan 2013 – Jan 2018

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