K

Kshitij Goel

Director of Engineering

Delhi, India5 yrs 1 mo experience

Key Highlights

  • Achieved over 150% ROI with less than 1% drawdowns.
  • Expert in Low Latency Quantitative Development.
  • Extensive experience in HFT Market Making strategies.
Stackforce AI infers this person is a Fintech Quantitative Trader with expertise in high-frequency trading strategies.

Contact

Skills

Core Skills

Quantitative TradingQuantitative Research

Other Skills

C++Data StructuresProbability TheoryPythonSQL

About

Experienced in Equity and Options HFT Market Making in NSE and BSE. Making profit > 150% ROI and <1% Drawdowns. Experienced in Low Latency Quantitative Development.

Experience

Stealth startup ( quant trading )

Director of Quantitative Trading

Sep 2025Present · 6 mos · Delhi, India · Hybrid

Quantitative TradingC++Quantitative ResearchPython

Ebullient securities

Quant Trader

Aug 2023Sep 2025 · 2 yrs 1 mo · Gurugram, Haryana, India · Hybrid

  • Ran an extremely profitable HFT Market Making Strategy in both Equity and Options in Indian Stock Markets achieving more than 150% ROI with < 1% Drawdowns.
  • Used probabilistic models to capture spreads using orderbook alphas.
  • Did extensive research on Equity Market Micro structure.
Quantitative TradingC++Quantitative Research

39k group

2 roles

Quantitative Trader

Jan 2023Jul 2023 · 6 mos · Gurugram, Haryana, India · Hybrid

  • Ran a Market Making Strategy making 200% Returns with < 2% drawdowns in NSE.
  • Doubled Options MM Profits within first 2 months.
  • Optimised Hyperparameters with extensive backtesting.
Quantitative TradingC++Python

Quant Developer | HFT | C++

May 2022Jan 2023 · 8 mos · Gurugram, Haryana, India · Hybrid

  • Designed, Backtested and Implemented Strategies in C++ for NSE Options.
  • Performance analysis by Back testing to optimise hyperparameters to improve profits.
Quantitative TradingQuantitative ResearchC++Python

Oyo

Data Science Intern

Jun 2021Jul 2021 · 1 mo · India

  • Developed an Object Detection Algorithm to detect objects in a room.
  • Used YOLO V5 PyTorch Framework to implement the algorithm.

Chegg inc.

Subject Expert (TA) in Computer Science

Nov 2020Jul 2021 · 8 mos · Delhi, India · Remote

  • Solved 200+ Questions from the domain of Computer Science like DSA, OS, etc.

Netaji subhas institute of technology

Mentor - Student's Council NSUT

Sep 2019May 2020 · 8 mos · Delhi, India

Education

Netaji Subhas Institute of Technology

Bachelor of Engineering - BE — Computer Engineering

Aug 2018Jul 2022

DL DAV MODEL SCHOOL

12th — Computer Engineering

Jan 2017Jan 2018

DL DAV MODEL SCHOOL

10th CBSE

Jan 2015Jan 2016

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