Current Students
 | Nicholas Bruner Quantitative Research and Trading I’m a graduate student pursuing a masters in Financial Mathematics interested in a career in quantitative research and trading. I have experience using Python and R to develop quantitative trading strategies in the equity and derivatives markets. LinkedIn – Email |
 | Jinye Cai Credit Risk Analyst A graduate student intends to pursue a career in credit risk upon graduation, building and validating PD, LGD, and EAD models. BBA degree in Finance. Project experience in Credit Rating Analysis and Database Management. Competent in SQL, Python, and R. Passed FRM Part I. LinkedIn – Email |
 | Yijia Cai Financial Risk Analyst As an aspiring Financial Risk Analyst with a mathematical background, I am focusing on doing analysis of the conceptual soundness of quantitative models based on my SAS, Python, Matlab toolkit. LinkedIn – Email |
 | Jianheng Chen Quantitative Analyst, Risk Analyst Jianheng Chen is a Financial Mathematics graduate student with a strong mathematics and programming skill set earned during his undergraduate studies of Physics. A highlight of his student career was being awarded third prize in the 2018 CUMCM competition, in which he utilized MATLAB and Python to implement Markov Chain Monte Carlo methods and a simulated annealing algorithm. Jianheng aspires to pursue a career in quantitative analysis where he can use his analytics skills to develop the best trading strategies. LinkedIn – Email |
| Adarsh Choubey Quantitative Analyst/Trader Adarsh aspires to be a Quantitative Research Analyst. He has a degree in Chemical Engineering and three years of experience as a Business Analyst. He has been working on various Academic and Industrial projects from equity valuations methods to mortgage loss severity models. He has experience with programming languages Python, SAS and MATLAB. He loves to read History and keeps a keen eye on Geopolitical events affecting the financal ecosystem. LinkedIn – Email |
| Dee Das |
 | Matt Dempsey Quantitative Analyst / Risk Analyst Matt is a graduate student with focus on risk management and quantitative analysis. His meteorology background provides a toolkit to support risk management around the interaction of the recurring processes of the natural world with the financial markets. He plans to focus on quantifying risk using advanced mathematical tools such as machine learning and Monte Carlo simulation in order to enhance his quantitative finance and risk analytic skills. LinkedIn – Email |
 | Christopher Fiscella Quantitative Researcher Christopher Fiscella is a graduate student in NC State University’s Master of Financial Mathematics program, focusing on the application of data science to financial modeling and algorithmic trading. After finishing his undergraduate studies at Duke University in mathematics and philosophy, Christopher became interested in finance while studying machine learning methods. Christopher engaged in several independent projects including an object-oriented option calculator in C++, and a stock price ensemble prediction model in Python. Christopher hopes to pursue a career as a Quantitative Researcher. LinkedIn – Email |
| Anshumaan Gandhi Quantitative Analyst/Trader Anshumaan is passionate about applying computational and analytic tools to the equity markets. He refined his toolkit during his undergraduate studies in Computer Science and internship experiences, then started his own investment advisory company, with 14 clients and an AUM of $500k. Aspiring to move beyond the legacy tools of finance, he is pursuing a masters in Financial Math to apply cutting edge quantitative methods and machine learning to the equity markets. Upon completion, he aspires to a career as a quantitative analyst/trader. LinkedIn – Email |
 | Siddharth Joardar Quantitative Analyst Masters in Financial Mathematics graduate student seeking a career in quantitative analysis/research with a strong background in Finance and economics. Project experiences include fundamental research, data management, Risk analysis using Monte Carlo simulations in XLMINER and quantitative trading. Currently polishing programming skills in Python, R and SQL for in-depth statistical analysis. LinkedIn – Email |
 | Adithya Kasali Quantitative Analyst Adithya Kasali is a graduate student in NC State University’s Master of Financial Mathematics with a background in mathematics and computer science. Adithya aspires to become a quantitative analyst or a quantitative trader after graduating, utilizing his robust technical and data analytics skill sets. LinkedIn – Email |
| Kanishk Reddi Katakam Quantitative Analyst Kanishk graduated from Indian Institute of Technology with a Bachelor’s degree in Mechanical Engineering where he worked on projects such as Analysis of Lagrangians and Numerical Simulation of gas dynamics which produced a passion for building complex models using advanced mathematics. This led him to join the Masters in Financial Mathematics program at NCSU. After graduation he would like to work in the fields of quantitative analysis and risk management. LinkedIn – Email |
 | Heng Lin Quantamental Investing/Financial Analyst Master’s student with academic background in accounting and professional experience in buy-side fundamental research, investment bank and public accounting. Relevant projects not only demonstrate technical ability to extract, clean and analyze data but also a solid understanding of asset pricing and how accounting information can be used to predict future profitability. LinkedIn – Email |
| Jiayi Liu |
| Mehul Mehta Quantitative Analyst, Risk Analyst, Data Scientist Mehul is a Master’s student seeking a career in Risk Management or Quantitative Analysis. Prior to pursuing his Masters’, Mehul was working with PwC India for 31 months in their Advisory Service, where he specialized in strategy development, investment planning, and risk management. Mehul holds a Bachelor’s in Engineering from VIT University. He is competent in using Python, SAS, SQL and MATLAB. LinkedIn – Email |
| Munjal Mehta Quantitative Analyst With a bachelor’s degree in Mechanical Engineering and professional qualifications in Actuarial Science, Munjal joined the MFM program because of his interest in mathematics and finance and desire to find a job in quant finance. Munjal is inclined towards the pragmatic approach of utilizing various econometric and machine learning models in the finance industry using strong programming skills in Python, R, and SAS. LinkedIn – Email |
 | Ting Hao Ou Quantitative Trader A graduate student exploring a career in quantitative trading with a strong academic background in Mathematics and programming skills in Python and MATLAB. Currently learning R and SQL to broaden my toolkit in statistical analysis and data analysis. LinkedIn – Email |
 | Jonathan Page Risk Analyst/Quantitative Analyst I am a current graduate student pursuing a career in financial risk management and quantitative analysis. Previous education obtained at NC State University with Bachelor of Science degrees in Industrial Engineering and Economics. I have a strong interest in predictive modeling, with experience in the programming languages VBA, SAS, R and Python. LinkedIn – Email |
| Marco Santana Cruz Portfolio Analyst Marco is a first-year graduate student with a focus in portfolio analysis and risk management. He served in the Army as he finished his undergraduate studies in Intelligence and Homeland Security. He has always been passionate about mathematical reasoning, stock analysis, and investing strategies. Upon completion of his MFM degree, he plans to pursue a career in investment banking and risk analytics. LinkedIn – Email |
| Abhijay Shukla Quantitative and Risk Analyst / Data Scientist Abhijay is a graduate student in Financial Mathematics, seeking a career in Risk Management or Quantitative Analysis. Three years of work experience at PwC have given him a solid grounding in Risk Management, Portfolio Development, Due Diligence, and Statistical Modelling. He is competent in a variety of programming and data management tools, e.g., Python, SAS, and MATLAB. With an advanced FinMath toolset, he intends to design innovative analytic methods for the financial ecosystem. LinkedIn – Email |
| Ryan Thurston Quantitative Analyst Ryan Thurston is currently an undergraduate student pursuing a bachelor’s degree in Applied Mathematics and an accelerated master’s degree in Financial Mathematics. He has a background in Statistics, Economics, and several programming languages including SAS, R, and Python. His diverse background helped him gain an internship at U.S. Bank in the analytics department. Upon graduation, Ryan intends on pursuing a career in quantitative modeling. LinkedIn – Email |
| Zongxin Tian |
 | Nolan Winstead I am a graduate student pursuing a Master of Science in Financial Mathematics with experience in econometric analysis, risk modeling, and data science. I have a working knowledge of SAS, SQL, and Python and am interested in pursuing a career in actuarial science upon graduating. LinkedIn – Email |
 | Yuzexi Yang Quantitative Analyst I’m a graduate student with a strong interest in quantitative financial analyst role. I actively participated in independent research during undergraduate and obtained double major diploma(Mathematics and Economics). In my graduate study, I am preparing for the FRM exam and strengthening my programming ability through the use of R, Python and SAS. LinkedIn – Email |
 | Yimeng Zhao Data Analyst A graduate student in Financial Mathematics with solid programming skills, undergraduate mathematics expertise and advanced statistical analysis skills aspires to pursue a position in Data Analyst. LinkedIn – Email |
| Guoqing Zhang |