• Set the vision for the company and define the overall strategy from launch to scale• Drive growth, profitability, and company value• Develop and implement scalable and efficient strategies to ensure consistent results and exponential growth• Attract, retain, and develop world-class talent• Cultivate a high-performing and agile team culture• Align resources to achieve key business goals• Own the operational budget and manage the burn rate• Provide expert guidance to all departments, including technology, operations, sales, and product• Building strategic partnerships and relationships to drive growth• Establish credibility throughout the customer and partner network

• Validated new trading, hedging, and risk management applications, financial models, tools, and strategies that directly assisted traders with investment decisions and risk management• Performed risk and P&L (profit and loss) calculations and verified the accuracy of formulas and the robustness of financial models of new trading, hedging, and risk management applications• Run daily risk reports, independently verified risk numbers, and analyzed daily fluctuation in the value of portfolios (P&L Attribution, P&L Unexplained)• Liaised with developers to manage IT deliverables, such as trading, hedging, and risk management applications relevant to the trading desks, and worked closely with the IT team on testing and integrating new models for trading desks

• Trained in-person or online boot camp students, the next generation of data scientists, on various topics ranging from statistics, probability, SQL, R/python coding, data analysis, machine learning, deep learning, big data, etc.• Developed, evaluated, and maintained cutting-edge technical content for training experiences relevant to audiences with a diverse set of educational backgrounds and industry experience• Guided and mentored the students inside and outside of the classroom for their industry-ready projects• Cooperated with marketing/admission teams by participating in the student enrollment/admission procedure and by developing relevant content for them• Participated in periodic training workshops to sharpen the relevant skill-sets

• Built and maintained dynamic discounted cash flow models linking together the income statement, balance sheet, and cash flow statement• Prepared financial models and used quantitative tools to determine the intrinsic value of stocks under coverage and prepared reports for management approval based on the analysis of financial statements • Performed economic value-based analysis of financial statements of more than 3000 companies and identified the most attractive and the most dangerous stocks for superior investment returns• Analyzed the financial statements, footnotes, and management discussion, and analysis in 10-Ks and 10-Qs for all companies under coverage• Translated accounting data from 10Ks and Annual Reports into economic financial statements, i.e., NOPAT, Invested Capital, and WACC, to create economic earnings models, which are necessary to understand the true profitability and valuation of companies