Deepak Kumar

WORK HISTORY

EDUCATION

SKILLS

ABOUT DEEPAK KUMAR

Data Engineer/Quant Developer/Analyst/AWS Architect working on the designing development and implementation of application software on JAVA, PYTHON, SCALA, AWS stack like Lambda, EMR, AWS Batch, ECS, Athena, Fargate, Terraform, Spark, PL/SQL, DataDog, etc. Specializing in derivatives trading systems, market data platforms, and distributed financial infrastructure.I have extensive experience building high-performance backend systems for global financial institutions, particularly in options and derivatives markets.In addition to enterprise financial systems, I actively research, design and develop systematic trading strategies for SPX options, including: • 0DTE options strategies • Volatility trading and variance replication • Iron butterflies, broken wing butterflies, and spread structures • Intraday volatility modelling and Greeks analysis • backtesting multi-leg options strategies • evaluating risk exposure and PnL scenariosThis hands-on quantitative work gives me strong insight into how derivatives markets behave in practice, and how to build infrastructure that supports real trading environments.Technically, I focus on scalable cloud-native distributed systems and event-driven architectures using AWS.SPX Options Systematic Trading ResearchDeveloped a Python framework for systematic SPX options trading including:Real-time option chain analysisGreeks calculation and volatility modellingAutomated backtesting using intraday dataStrategy evaluation for 0DTE options structuresVariance replication and volatility arbitrage experimentsTechnologies: Python, Pandas, NumPy, distributed compute. Have been working on Totem, a consensus Generation service from S&P Global, involving ETL processing of ‘near’ real time large transactional workload using AWS Lambdas, batch & operational analytics on data stored on AWS S3 using distributed computing AWS EMR (Apache Spark jobs) scheduled via Cloudwatch events. Worked on Scala/Spark for 2.5 - 3 years, to take data from multiple Datasources, ingesting, anonymizing, validating the data and then generating some reports as well as sending it to downstream projects for further processing.SpecialtiesDerivatives Trading SystemsOptions & Volatility MarketsDistributed Systems ArchitecturePython Financial EngineeringAWS Event-Driven SystemsSPX Options Strategy ResearchOpen to high-impact contract engagements building trading systems, derivatives platforms, market data infrastructure, hedge funds, exchanges, and fintech platforms.