Naman Jain

CEO

Bengaluru, Karnataka, India4 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Achieved 125% net returns on capital in one year.
Designed proprietary market-making infrastructure generating $1 million daily volume.
Trained over 100 students in stock market trading.

Stackforce AI infers this person is a Fintech professional with strong quantitative trading expertise.

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Skills

Core Skills

Quantitative FinanceTradingQuantitative ResearchData AnalysisMentoringSoftware Development

Other Skills

Algorithmic TradingAmazon Web Services (AWS)AutomationBacktestingCommoditiesCommunicationComputer ScienceData AnalyticsData ScienceDerivativesDiscretionary tradingEntrepreneurshipEquity DerivativesEquity ResearchEquity Trading

About

Highly skilled Stock / Crypto Market analyst and quantitative finance professional with a deep understanding of financial markets. Possess a Bachelor's degree in Information Technology from Sinhgad Academy of Engineering, Pune. Proficient in analyzing the impact of current trends and events on the market, identifying investment opportunities, and creating effective trading strategies. Strong expertise in advanced technical and fundamental analysis theory, and experience in deploying quantitative trading models. Skilled in Python for data analysis and automation, and experience in working in a UNIX / LINUX environment.

Experience

Bitqcode capital

Head of quantitative research and trading

May 2023 – Present · 2 yrs 10 mos · Cayman Islands · Hybrid

Spearheaded the development and optimization of multiple long-short systematic trading strategies on crypto perpetual futures.
Delivered net returns of almost 125% on deployed capital over a 12-month period.
Achieved Sharpe Ratios between 1.2 and 2.1, reflecting strong risk-adjusted performance across varying market regimes.
Contained maximum drawdowns below 7%, with some strategies maintaining sub-3% drawdowns.
Executed 700 to 1,200+ trades per strategy with a profitability rate ranging from 37% to 53%, and zero liquidations despite 20x leverage usage.
Reduced trading cost impact significantly, with fee optimizations improving net profitability by over 40% in mid-frequency strategies.
Designed and operated proprietary market-making infrastructure generating over $1 million in daily traded volume, with stable inventory balancing and tight spread capture.

Quantitative ResearchTrading StrategiesMarket MakingRisk ManagementPythonQuantitative Finance+1

Bitfinco

Quantitative Researcher

Apr 2022 – Sep 2023 · 1 yr 5 mos · Ahmedabad, Gujarat, India · On-site

Research and develop quantitative trading models for cryptocurrency trading, analyzing and
predicting trends in the market.
Conduct research on various cryptocurrencies, examining data in ledgers for blockchain
effectiveness.
Utilize Python for data analysis and automation in trading strategies.
Collaborate with the team to develop and implement effective risk management strategies

Quantitative Trading ModelsData AnalysisPythonQuantitative FinanceTrading

Young turtle llp

Reasearch Analyst

Feb 2022 – Apr 2022 · 2 mos · Ahmedabad, Gujarat, India · On-site

Contributed to original research on quantitative indicators/models that drive the construction of
trading/investing strategies.
Conducted research and analysis on financial data to extract predictive signals through statistical
analysis methods.
Utilized Python/ Amibroker and SQL for data analysis and modeling.

Quantitative IndicatorsStatistical AnalysisPythonSQLQuantitative ResearchData Analysis

Self employed

Self Trading/Mentor

Apr 2019 – Jan 2022 · 2 yrs 9 mos · Pune, Maharashtra, India · On-site

Successfully trained more than 104 students on stock market trading, including teaching price action
on candlestick charting, points and figures charting, and money/risk management.
Shared views on markets and analysis of stocks through a Telegram channel with a substantial
following.
Conducted in-depth research and analysis of various financial markets, including stocks, cryptocurrencies, and commodities, to identify investment opportunities.
Developed and deployed quantitative trading models using Python, and automated trading
strategies.
Demonstrated strong analytical abilities with a deep understanding of all the markets.
As an experienced options trader, I have successfully deployed a range of strategies in the live
market, including butterfly, iron condor, and other advanced techniques, and made a few systematic
trading strategies.

TrainingQuantitative Trading ModelsMarket AnalysisPythonTradingMentoring

Cloudlex - the legal cloud

Java Software Engineer

May 2018 – Apr 2019 · 11 mos · Pune, Maharashtra, India · On-site

Developed information systems by designing, developing, and installing software
solutions.Determines operational feasibility by evaluating analysis, problem definition, requirements,
solution development, and proposed solutions. Developed software solutions by studying information
needs; conferring with users; studying systems flow, data usage, and work processes; investigating
problem areas; following the software development life-cycle.

Software DevelopmentJavaInformation Systems