Abdullah Sajjad

CEO

Bengaluru, Karnataka, India2 yrs 7 mos experience

Key Highlights

Expert in developing trading algorithms and strategies.
Proficient in Python and quantitative analysis.
Strong background in derivatives trading and market making.

Stackforce AI infers this person is a Fintech professional specializing in algorithmic trading and quantitative analysis.

Contact

Skills

Core Skills

Derivatives TradingAlgorithm DevelopmentData Analysis

Other Skills

ArbitrageBack TestingBloomberg TerminalCommoditiesCommodity MarketsCryptocurrency RegulationData VisualizationDigital AssetsEconomicsExcelFinanceHedgingHigh-Frequency TradingHigh-Pressure EnvironmentsImport Export

About

Experienced trader with market-making experience and a strong background in finance, statistics and programming. Proficient in various coding languages and technologies relevant to the financial sector, including Python, Rust and C++. Skilled in developing and implementing trading algorithms, conducting data analysis, and building financial models and trading strategies.

Experience

39k group

Quantitative Trader

Jun 2025 – Present · 9 mos · Gurugram, Haryana, India · On-site

Bestex research

Algorithmic Trading Analyst

Sep 2024 – Apr 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

Futures first

Derivatives Trader - Commodities

Jan 2023 – Apr 2024 · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

Worked as a derivatives trader trading multiple commodity classes in various global exchanges, responsible for performing research and analysis based on Fundamental, Technical and Quantitative analysis techniques to develop out of the box trading strategies to generate fast and consistent PnL.
Executing trades using strategies such as Spread, Fly and Condor to mitigate risk and capture speculation opportunities using Autospreaders and Algos.
Developed and tested back testing strategies using Python to assess trading algorithms and investment decisions.
Historical analysis on data under different market phases for identification of trades with a consistent success rates and risk to reward ratios.
Utilized Python packages, MS Excel, Thomson Reuters Eikon, and Bloomberg terminal for data analysis, model validation, and enhancement.

Derivatives TradingCommodity MarketsResearch and AnalysisTrading StrategiesRisk MitigationBack Testing+7