Dec 2022 – Jun 2025 · 2 yrs 6 mos · Mumbai, Maharashtra, India

• Designing and deploying client-side applications on cloud platforms (AWS) and local servers, ensuring seamless access to mission-critical financial tools and services.
• CS-ACNN for identifying price trend
• Implementing advanced machine learning algorithms, such as DBSCAN clustering, to detect anomalies in time-series data, enabling real-time monitoring and risk mitigation.
• Leveraging grid search optimization techniques to fine-tune quantitative strategies, maximizing their effectiveness and profitability.
• Developing and integrating multimodal models to identify market data trends, providing valuable insights for informed investment decisions.
• Architecting robust algorithmic execution systems, ensuring efficient and reliable trade execution while adhering to strict compliance and regulatory guidelines.

Feb 2021 – Nov 2022 · 1 yr 9 mos · Mumbai · Hybrid

• Automation of processes through cloud computing platforms
• Developed customized trading tools for real-time market data access
• Implementation of quantitative models on real-time data streams
• Algorithmic decision-making processes driven by data-driven insights
• Integration of advanced statistical techniques, machine learning, and predictive modeling
• Building and enhancing options trading strategies
• Programmatic backtesting of strategies on historical data
• Rigorous simulations and analyses for strategy evaluation

Jan 2021 – Feb 2021 · 1 mo

Dec 2019 – Feb 2021 · 1 yr 2 mos · Toronto, Ontario, Canada · Remote

• Developed and implemented binomial options pricing model for American-style options, enabling precise valuation of early exercise features and enhancing the firm's derivatives pricing capabilities.
• Designed and executed various options spread strategies including vertical spreads, calendar spreads, and iron condors to optimize portfolio risk-adjusted returns and capitalize on market opportunities.
• Engineered interactive macro dashboards tracking key economic indicators such as inflation rates, GDP growth, employment data, and monetary policy metrics to identify market regimes and economic phase transitions.
• Conducted in-depth analysis of economic cycles, focusing on inflationary, deflationary, and transitionary phases to provide strategic investment recommendations backed by quantitative research.