Sanchit Narang

Co-Founder

Gurugram, Haryana, India2 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Developed advanced trading algorithms using machine learning.
Won multiple hackathons showcasing competitive programming skills.
Strong foundation in quantitative finance and algorithmic trading.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and algorithmic trading.

Contact

Skills

Core Skills

Statistical ArbitrageMachine LearningQuantitative FinanceAlgorithmic TradingData ScienceData AnalyticsQuantitative RiskDigital MarketingAffiliate Marketing

Other Skills

Alpha Research & DevelopmentCommodity FuturesCommodity MarketsCurrency FuturesEquity Capital MarketsEquity TradingFutures TradingIntraday TradingPythonQuantitative Research

About

★ I am working as a Machine Learning Quantitative Researcher at Trexquant Investment LP (Statistical Arbitrage Equity Fund). ★ I graduated from BITS Pilani majoring in Electrical and Electronics Engineering. ★ Competitive programming and participating in various hackathons interests me. I have won hackathons including the FlipKart GRID and the Uber HackTag. I am proficient with languages including C++ & Python. ★ On the non-technical side I enjoy participating in Model United Nations Conferences and parliamentary debates. I am a cricket lover too.

Experience

Trexquant investment lp

3 roles

Quantitative Researcher

Aug 2024 – Present · 1 yr 7 mos

Developing statistical arbitrage-based mid-frequency algorithmic trading signals (alphas) for market-neutral portfolios.
Applying complex ML algorithms and implementing academic research by combining fundamental, technical, and sentiment data to develop strategies for US, EU and ASIA equity markets.

Statistical ArbitrageMachine LearningAlgorithmic TradingQuantitative ResearchPython

Machine Learning Quantitative Research Intern

May 2023 – Jul 2023 · 2 mos

Applied Machine Learning techniques to alpha discovery and portfolio construction.
Worked on equities tick data to develop intraday trading algorithms.
Developed alphas to trade numerous futures contracts on international exchanges.

Machine LearningEquity Capital MarketsData ScienceIntraday TradingAlpha Research & DevelopmentPython

Global Alpha Researcher

Oct 2022 – Aug 2024 · 1 yr 10 mos

Leveraged Large Language Models [LLMs] to develop alphas and strategies for the US equity market.
Created macroeconomic themed and spread based investment strategies for trading commodity, fixed income and currency futures.

Statistical ArbitrageAlgorithmic TradingQuantitative FinanceFutures TradingCurrency FuturesCommodity Futures+2

Google

Google ML Camp 2022

Jul 2022 – Oct 2022 · 3 mos

Machine Learning

Amazon

2 roles

Amazon ML School 2022

Jun 2022 – Aug 2022 · 2 mos

• Gained hands on experience on various machine learning modules such as Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models, Sequential Learning Causal Inference and Reinforcement Learning.

Machine Learning

Affiliate Marketing Manager

Nov 2020 – Mar 2022 · 1 yr 4 mos

Digital MarketingAffiliate Marketing

Cme group

Quantitative Research Intern

Jun 2022 – Nov 2022 · 5 mos · Bangalore

Worked as a Quantitative Research Intern in the Futures and Options Division.
Created tools to automate and streamline critical business processes in the quantitative finance domain in Python and supported the Quant Risk Team (QRT) with monthly strategy and algorithm design and analysis.
Worked on developing a Margin Monitoring Tool for diversified portfolios.

Data AnalyticsQuantitative RiskPython

Coding blocks

2 roles

Problem Setter

Mar 2022 – Apr 2022 · 1 mo

• Worked as problem setter for several contests and hackathons organized on their platform "HackerBlocks".

Teaching Assistant

Apr 2021 – Apr 2022 · 1 yr

• Mentored and guided 200+ students in Data Structures and Algorithms in C++.

Publicis sapient

Jumpstart Mentee

Jun 2021 – Jun 2021 · 0 mo

Swecha telangana

Software Developer Intern

May 2021 – Jul 2021 · 2 mos

• Worked as a software development intern at Swecha on a Farmers' Cooperative application. Work focused on reducing middle men cost and applying regression model analysis to achieve accuracy for long term benefits for the farmers.