Master of Science in Quantitative Finance and Risk Analytics

Drive the world of finance with quantitative modeling skills to navigate the complex and interdependent global markets. Gain cutting-edge financial skills and proficiency at the interface of finance and technology. Conduct empirical research and construct computational models at the frontier of finance. Benefit from numerous co-curricular activities and mentorship. Students who successfully complete this program will be able to: Utilize a core set of analytical skills in finance. Utilize a core set of analytical skills in economics and accounting. Utilize a core set of analytical skills in statistical analyses. Utilize modeling skills to conduct quantitative analysis for financial engineering and the analysis of financial risk. Utilize computational tools to facilitate data analysis for financial engineering and the analysis of financial risk. Develop strategies for investment and management of risk. Demonstrate knowledge of the roles and functions of financial institutions and their regulatory settings. Demonstrate knowledge of financial markets, their roles, and functions in dealing with financial risks. Demonstrate knowledge of valuation of financial instruments for investment, trading, and hedging decisions.

Career Path

Career path includes Quantitative Analyst (Quant), Financial Risk Analyst, Investment Analyst,Portfolio Risk Manager, Credit Risk Analyst, Market Risk Analyst, Derivatives Analyst, Structured Products Analyst, Asset Allocation Strategist, Quantitative Researcher, Financial Engineer, Trading Strategist, Hedge Fund Analyst, Quantitative Developer, Financial Data Scientist, Risk Modeling Specialist, Machine Learning Engineer (Finance), Algorithmic Trading Developer, Fintech Product Analyst, Financial Software Engineer, AI Risk Governance Analyst, Blockchain Risk Analyst, Regulatory Risk Analyst, Basel/IFRS Risk Consultant, Stress Testing Analyst.