Vikesh .

Product Manager

Bengaluru, Karnataka, India7 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in high-frequency trading across multiple asset classes.
  • Proficient in quantitative research and algorithm development.
  • Demonstrated success in reducing logistics costs through innovative algorithms.
Stackforce AI infers this person is a Fintech expert specializing in high-frequency trading and quantitative analysis.

Contact

LinkedIn

Skills

Core Skills

High Frequency TradingQuantitative ResearchReinforcement LearningC++14Commodity Markets

Other Skills

CC#Clustering AlgorithmsData Structures & AlgorithmsDeep LearningMarket MakingPython

About

Enhancing market efficiency with high-frequency trading across diverse asset classes and avenues(China, India, Crypto).

Experience

Alphagrep

Trader (Boson)

Nov 2021 – Present · 4 yrs 4 mos · India

  • HFT Trading in Futures & Options
High Frequency TradingQuantitative ResearchCMarket Making

Estee

3 roles

Associate Trader

Apr 2021 – Oct 2021 · 6 mos

  • Worked on alpha modelling using Boosting, DRL(ML) primarily for NSE Equities
Reinforcement LearningDeep LearningQuantitative Research

Senior Strategist

Promoted

Jun 2019 – Mar 2021 · 1 yr 9 mos

  • Developed HFT alphas for NSE, BSE, B3.
  • Architected single threaded execution for NSE with T2T of 1.2us(non-FPGA)
High Frequency TradingC++14Data Structures & Algorithms

Strategist

Jun 2018 – May 2019 · 11 mos

  • Worked on cross-border Commodity arbitrage in MCX-CME
Commodity Markets

Portlogy (p) ltd

Summer Intern

Jun 2017 – Jul 2017 · 1 mo · New Delhi Area, India

  • Developed a clustering based algorithm for re-routing freight to reduce shipment cost by ~16% across India - East Asian Countries.
Clustering Algorithms

Education

Netaji Subhas Institute of Technology

B.E. — Computer Science

Jan 2014 – Jan 2018

Qubit By Qubit

Introduction to Quantum Computing — Quantam Computing

Jan 2020 – Jan 2021

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