Kousik Krishnan

CTO

Mumbai, Maharashtra, India7 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Led development of low-latency trading infrastructure.
Mentored over 2000 students in Data Science.
Developed proprietary HFT strategies for multiple markets.

Stackforce AI infers this person is a Fintech expert specializing in high-frequency trading and quantitative analysis.

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Skills

Core Skills

Software DevelopmentHigh-frequency TradingQuantitative ResearchAlgorithmic TradingData ScienceMentoringQuantitative FinanceQuantitative AnalysisMachine LearningPortfolio ManagementTrading Signals Development

Other Skills

Automated TradingBig DataC++LeadershipLow-latency programmingMicrosoft ExcelMicrosoft OfficeMicrosoft WordPowerPointProject ManagementPublic SpeakingPythonResearchStatisticsTrading

About

Software Development Lead and Quantitative Trader specializing in high-frequency trading (HFT). Currently heading the software development team at Ebullient Securities, responsible for designing, developing, and maintaining low-latency trading infrastructure for NSE, BSE, SGX, and US markets. Focused on optimizing systems and overseeing talent acquisition across the organization. Skilled in implementing proprietary HFT strategies with expertise in low-latency programming (C++/Python) and applying machine learning in financial markets. Architected GUVI's highest-revenue product and mentored over 2000+ students in Data Science and Machine Learning. Invited speaker at Python conferences, panelist at IITM Startup events, and an active contributor to industry discussions. Strong academic background in mathematics and computer science.

Experience

Ebullient securities

Lead Infrastructure Developer

Feb 2024 – Present · 2 yrs 1 mo · Gurugram, Haryana, India · On-site

Currently leading the software development team building trading infrastructure for NSE, BSE, SGX, and US markets, overseeing all software requirements for MFT and HFT trading. Delivering best-in-class latency for HFT infrastructure.

Low-latency programmingC++PythonSoftware DevelopmentHigh-Frequency Trading

E4 capital

Quantitative Researcher

Feb 2023 – Jan 2024 · 11 mos · Singapore

Researched MFT strategies on crypto markets, leveraging alternative on-chain data, and traded on Binance, OKX, and dYdX.

Machine LearningQuantitative ResearchAlgorithmic Trading

Guvi geek networks, iitm research park

Senior Consultant

Nov 2020 – Dec 2023 · 3 yrs 1 mo · Chennai, Tamil Nadu, India · Hybrid

Started the Data Science training program at Guvi, which became their leading product generating the highest revenue. Designed the syllabus, taught 2000+ students with 1000+ classroom sessions and 10+ webinars, earning the title of the highest-rated mentor on the platform.

Data ScienceMentoring

Algoquant

Quantitative Trader

Nov 2020 – Feb 2023 · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

Developed and traded market-making strategies for NSE options and NSE-BSE cash statistical arbitrage strategies using advanced quantitative models.

Algorithmic TradingQuantitative FinanceTradingAutomated Trading

Credit suisse

Quantitative Analyst

Jan 2019 – Jan 2021 · 2 yrs · Mumbai Area, India

Worked on regulatory capital models - IRC (Incremental Risk Charge) and
Credit ERC (Pillar 2 risk). Validation of probability of default, loss given default, and certain pricing
models.
Part of the Machine Learning working group responsible for providing division
wide ML training and setting up the ML validation framework.

Quantitative AnalysisMachine Learning

Stealth startup

Finance Intern

Dec 2017 – Aug 2018 · 8 mos · Chennai Area, India

Helped the R&D team of an Asset Management startup in developing portfolio selection models. Researched portfolio management techniques, executed them and received excellent returns in the validation phase. Developed an automated fact sheet building dashboard which enabled the financial analysts to compare and contrast different instruments. Designed and validated order execution algorithms for ETF markets.

Portfolio Management

Trexquant investment lp

Global Alpha Researcher

Apr 2017 – Oct 2017 · 6 mos

Developed profitable trading signals based on real world data for a medium-frequency equity trading firm. Studied various trading research papers to figure out new alpha ideas.

Trading Signals Development

Coriolis technologies pvt. ltd.

Machine Learning Intern

Apr 2017 – Jun 2017 · 2 mos · Pune Area, India

Worked in Deep learning algorithms and its application in Computer Vision. Developed the backend of SmartPic, an internal photo organising tool based on image tagging. Designed a video action localisation and emotion recognition model. Worked on facial expression recognition and cognitive computing based access control systems.

Machine Learning

Gyan dat

Data Science Intern

Nov 2016 – Dec 2017 · 1 yr 1 mo · Chennai Area, India

Helped the gyan-data training team in creating content for data science trainings that they offered to clients.

Data Science

Indian institute of technology, madras

Summer Intern

Apr 2016 – Jun 2016 · 2 mos · Chennai Area, India

Interned in Reconfigurable and Intelligent Systems Engineering laboratory under Prof. Balaraman Ravindran. Worked on Graph segmentation algorithms and their applications in Machine learning.

Machine Learning