Keshav Saxena

Associate Consultant

New Delhi, Delhi, India1 yr 7 mos experience

Key Highlights

Developed over 600 trading algorithms for market inefficiencies.
Strong foundation in quantitative finance and research.
Internship experience at a prestigious IIT.

Stackforce AI infers this person is a Fintech Quantitative Researcher with strong algorithm development skills.

Contact

Skills

Core Skills

Quantitative FinanceQuantitative Research

Other Skills

AlgorithmsBacktestingC (Programming Language)C++Competitive ProgrammingCryptographyCuratingData AnalysisData StructuresEvent PlanningMATLABManagementMulti Party ComputationPitching IdeasPython (Programming Language)

About

I like financial markets.

Experience

Indian institute of technology, kanpur

Winter Intern

Dec 2023 – Jan 2024 · 1 mo · IIT Kanpur · On-site

Winter Intern at IIT Kanpur CSE Department under Prof. Nitin Saxena and Prof. Angshuman Karmakar.

Worldquant

2 roles

Tier 1 Quantitative Research Consultant

Promoted

Jul 2023 – Oct 2024 · 1 yr 3 mos · India · Remote

Using a Quantitative approach to develop Trading Algorithms (Alpha) which are systematic investment strategies focused on market inefficiencies across a variety of asset classes and global markets using the WorldQuant BRAIN platform.
Backtesting the strategies upon 10-year US market data and computing Sharpe, Turnover, Returns, and Correlation with the other alphas.
Have created more than 600 alphas with access to 7 trading regions.
Creating Super Alphas which are even more robust trading signal created by combining alphas.

Quantitative FinanceQuantitative ResearchTrading AlgorithmsBacktestingData Analysis