- Interacted with both internal and external API endpoints, orchestrating seamless extraction and integration of diverse cryptocurrency data, ensuring precision and efficiency in analytical operations.- Conducted real-time analytics using ClickHouse SQL, providing actionable insights from voluminous crypto-datasets.- Employed Python and Jupyter Notebooks for in-depth data analysis, with a particular focus on risk management, reinforcing business intelligence.- Created interactive data visualizations and set up alerting mechanisms using Grafana, such as live asset balance tracking and alerting.- Crafted serverless functions using AWS Lambda, facilitating real-time data processing and automation of tasks.- Developed a Health Rating System to assess the risk level associated with various cryptocurrency exchanges.

As a Financial Dealer at Brightpool, a multi-asset market-making startup, I honed a diverse range of skills in data analysis, financial modeling, and risk management, contributing significantly to operational improvements and business growth.Main Tasks : • Prepared and presented daily performance reports on the company's P&L, risk exposure, and market updates to management and dealer teams.• Conducted data analysis using SQL queries in AWS to glean insights into client trading behavior, guiding strategies to maximize earnings and minimize financial risks.• Kept abreast of competitor products and pricing trends, leveraging this knowledge to identify business growth opportunities and contribute to operational improvements.• Received training in option pricing and risk management using the Black-Scholes and futures pricing models.• Executed experimental simulations in Python and collaborated with the pricing team to enhance the pricing model.• Created comprehensive reports and visualizations for risk assessment guidelines implementation and market manipulation detection.• Adjusted pricing inputs in the internal platform system to accurately reflect market conditions.• Established standard processes and procedures for day-to-day business activities.• Regularly assessed the macroeconomic environment and daily events to determine their impact and expected market volatility.• Monitored daily risk exposure and executed appropriate hedging within set limits.