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 excellent problem-solving ability and mathematics skills earned during his undergraduate studies of Physics. He focuses on quantitative risk analysis using advanced mathematical and programming tools. His project experience includes option pricing, credit risk analysis, and market forecast using Monte Carlo simulations, machine learning, and neural networks. Jianheng aspires to pursue a career in quantitative analysis, where he can use his analytics skills to develop quantitative models with the best performance. 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 Quantitative Analyst Jiayi LIu is a graduate student in NC State University’s Master of Financial Mathematics program. She is passionate about applying statistical tools, especially machine learning methods to the financial market. She got her bachelor’s degree in Statistics from Central South University in China in 2021. Project experiences include Risk management and data analysis using R/SAS/Python. With a strong background in Finance and statistics, she is interested in starting a career in quantitative analysis. |
 | 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 |
 | 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 a graduate student pursuing his master’s degree in Financial Mathematics. He has a background in Applied Mathematics and Statistics and experience with several programming languages including SAS, R, and Python. He completed an internship with U.S. Bank within the Fraud department where he completed projects related to model validation. Upon graduation, Ryan intends on pursuing a career in quantitative modeling. LinkedIn – Email |
 | Zongxin Tian Quantitative Analyst Zongxin is a current graduate student in the Financial Mathematics program, seeking a career in Risk Analysis and Quantitative Analysis. Obtained bachelor’s degree in Applied Mathematics and Law. Has done relevant research on applications in Machine Learning and Safe Screening Rules. Now interested in credit risk models building and validation, competent in using MATLAB and Python. |
 | Nolan Winstead Actuary 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 Risk/Quantitative Analyst Guoqing is a graduate student in NC State University’s Master of Financial Mathematics program. He has a keen interest in quantitative finance & portfolio management. With some projects and research experience in Data Analysis & Modeling & PDE Solution in Python / Matlab. Looking for a job in portfolio management or quantitative analytics |
 | Zhengxian Li Quantitative Analyst Zhengxian is a graduate student in the Financial Mathematics Program. Before NC State, Zhengxian had earned two bachelor degrees in Physics and Finance. With strong academic background in both science and business, Zhengxian also serviced for a number of clients during his 1-year internship at HSBC. Now Zhengxian is focusing on risk management and quantitative analysis with his programming skills including Python, R and MATLAB. Upon graduation from MFM Program, he intends to pursue a career as a Risk/Quantitative Analyst. |
 | Raiden Han Quantitative Analyst Raiden is a graduate student with solid knowledge in quantitative analysis, risk management, and programming languages, including Python, SQL, C/C++, R, and MATLAB. He developed his interest in quantitative finance while working at an investment bank and the financial service industry, where he constructed influential risk factors and designed fund valuation algorithms. His current interest is machine learning applications in the financial market. LinkedIn – Email |
 | Zhikai Yan Quantitative Analyst Zhikai Yan 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 programming proficiency in R and Python. With the technical and interpersonal skills he developed upon graduation, Zhikai intends to become a credit risk analyst in the financial industry. |
 | Naman Goel Quantitative Research/ Consulting Naman Goel is a graduate student in the MFM program with a Bachelor of Technology in Electronics & Communication Engineering. Having worked in the Software and Financial Services industry as a Software Engineer, Financial Analyst and Data Analyst helped him develop a concrete understanding of how finance and technology are leveraged in the financial services industry. Relevant project & course work helped him gain further insight into analytical modeling while enhancing his toolkit in different tools like Python, R, and SQL. He possesses a strong interest in the financial services consulting domain and would like to pursue a role in the Quantitative consulting or research space upon graduation. |
 | Satoshi Hosokawa Quantitative Analyst Satoshi Hosokawa is a graduate student in NC State University’s Financial Mathematics.My background is academic Financial Mathematics and professional experience as a quant in a Japanese Bank. I know not only mathematics but skills of C++, Python, and SQL. I am mainly interested in derivative pricing and want to work as a model quants in the future. |
 | Tingyu Lei Quantitative Analyst Tingyu is a graduate student in the Financial Mathematics program with a strong background in statistics. He has experience building statistical machine learning models and processing data by using R in several projects and an international paper. Tingyu is preparing to strengthen his programming ability by learning SAS and Python in his graduate study. After graduation, Tingyu intends to pursue a career as a risk analyst. |
 | Yuan Chun Quantitative Analyst Master’s student with academic background in Finance, mainly focus on risk management and quantitative analysis. Yuan Chun has professional experience in equity fundamental research such as building equity valuation models and programming skills Python and SAS. Yuan Chun aspires to become a quantitative analyst or data analyst after graduating, utilizing his robust technical and data analytics toolkit. |
 | Catherine Tang Quantitative Researcher / Trader Always one enamored with the competitive and probabilistic nature of the financial markets, Catherine is interested in developing quantitative research for trading and portfolio management purposes. Currently, she is leading a team to compete in the CME futures trading challenge, building machine learning trading algorithms with Python, and preparing to take FRM Part 1 in May 2022. Catherine is also interested in studying numerical methods applied in solving financial problems. |
 | Yi-Siou Feng Quantitative Analyst YiSiou Feng is a first-year Master student in the Financial Mathematics program at NC State University with a Bachelor’s degree in Quantitative Finance from National Tsing Hua University. Mr. Feng has professional experience in the financial market and expertise in Python and experience in MATLAB. He has engaged in several academic projects and strong interest in derivative pricing and modeling. Upon graduation, YiSiou aspires to pursue a career in financial engineering. |
 | Nitya Gopal Pareek Quantitative Analyst Nitya Gopal is a Financial Mathematics graduate student and a CQF delegate with a focus on applying quantitative analysis in financial derivatives. He has experience in econometric analysis and data science. With a background in business management and finance and several projects in quantitative trading strategies, Nitya aspires to become a quantitative trader/analyst after graduating. |
 | Sarah Myers Quantitative Analyst Sarah is a graduate student pursuing a masters in Financial Mathematics from NC State. She has a background in mathematics and accounting. During her undergraduate studies, Sarah gained experience in Python and R, and hopes to continue to grow on those skill sets. After graduation, she hopes to enter into a quantitative analysis or risk management field. |
 | Alex Mink Quantitative Analyst Alex Mink is an aspiring financial risk and data analyst. He has a bachelor’s in applied mathematics. Project experience includes model risk management, python, R, and SAS. He plans to further pursue machine learning and artificial intelligence to conduct data analytics. |
 | Shuhan Yang Quantitative Analyst Shuhan Yang is a current graduate student pursuing a master’s degree in Financial Mathematics with a background in Applied Mathematics. With mathematical modeling experiences and programming skills in MATLAB, Shuhan is learning Python and R. Upon graduation, she intends on pursuing a career as a quantitative analyst. |
 | Siddhant Shah Quantitative Analyst Siddhant is a graduate student in NC State’s Financial Mathematics program. Having graduated with a degree in Mechanical Engineering from the University of Wisconsin-Madison, his experience working in the banking industry led him to develop an interest in studying Financial Mathematics. Upon graduation, he intends to pursue a career in risk management. LinkedIn – Email |
 | Vamshi Krishna Reddy Revuri Quantitative Analyst Vamshi is a graduate student in the Financial Mathematics program at NCSU with a focus in Quantitative Analysis and Risk Management. He has a professional experience as commodity derivatives trader with expertise in building research-driven automation models and performing trade analysis, and is skilled in programming languages like C, Python and R. Upon graduation, vamshi is aspiring to work in Quantitative Trading and Risk Analyst roles. |
 | Hans Castro Quantitative Analyst Hans is a current graduate student with interest in financial and quantitative analysis. A background in Industrial Engineering and experience working as a financial risk analyst gave him the main skills and the desire to pursue a degree in financial mathematics. Hans has worked in the evaluation of commercial, agricultural, and green credits as well as the analysis of data to understand the overall risk of the portfolio. Hans has robust skills in programming in Python and Excel/VBA and knowledge in C. |
 | Manan Shah Quantitative Analyst/ Risk Analyst Manan has two years of experience in aligning business with technology and one year of experience as a data analyst consultant in modeling and analyzing risk exposure of reinsurance portfolio. He has also cleared CFA level 1. To increase the depth of knowledge in applying statistics and technology in the field of finance, he is currently pursuing master’s in financial mathematics at NC state university. He is proficient in VBA, Python and SQL. He is looking forward to developing skills in statistical tools – R and SAS. Upon completion, he intends to pursue a career in Investment and Risk analytics. |
 | Anand Morlawar Data Scientist Anand has started his Master’s in Financial Math (Data Science track) at NC State University after working 18 months at Credit Suisse in their Finance Change team. Anand plans to develop a niche in the field by applying cutting-edge machine learning models and quantitative methods to the equity markets. Anand has experience working on real-time corporate projects like Hierarchical Cluster modeling for data reconciliation, Fair Value leveling of financial instruments, Topic classification of news articles for predictive analysis, Ontology mapping of companies using NLP techniques, etc. with hands-on experience in Python, R, SQL, Alteryx, Qlik, MS Excel. Anand considers himself an analytical & results-driven graduate with proven and tested skills in Statistics, Finance, and Data Science domains. |
 | Annie Gupta Quantitative Analyst Annie earned her Bachelor’s in Business with a concentration of Finance as a student-athlete from UNC Wilmington. Currently, pursuing a Master’s Degree in Financial Mathematics with a focus on quantitative analysis and trading. Annie is passionate about stock analysis, predictive modeling, and investment strategies. She is expanding her programming skills with Python and R. Experience in stock/company valuation, critical stress testing for time series forecasting, and project management. |
 | Rutie Han Quantitative Analyst Rutie is a graduate student in NC State University’s Master of Financial Mathematics program. He has a keen interest in investment research, being committed to using data analysis methods to evaluate risks, pursue maximum returns, and give appropriate investment plans. With extensive internship in investment research, bond underwriting and fund sale, he can use Python, SQL and Office proficiently. |
 | Ananya Mishra Quantitative Risk Analyst Ananya is a graduate student with a focus on Quantitative Risk Analysis. He has previously worked as a data analyst for a consulting firm focusing on public finance with clientele including provincial governments and multilateral organizations. He has also worked in managerial roles with the largest lender in India in various segments like retail, small businesses and agricultural financing. Having a master’s in Operational Research, he has academic and professional experience in coding in R, Python and SQL, optimization techniques and statistical modelling. He aspires to transition to Quantitative Risk based profiles. |
 | Bandhuli Ray Quantitative Risk Analyst Being an Economics major with a masters in Actuarial Economics followed by 3 years of data science experience in Accenture, Bandhuli chose to pursue Financial Mathematics to combine her educational background with that of her professional career in Data Science. Bandhuli is keen about using machine learning in finance, with a skillset of Python, R, SQL and strong communication skills. |
 | Sameer Shaik Quantitative Analyst/ Developer Sameer is a graduate student pursuing his Financial Mathematics Master’s degree from NC State University. Prior to his Masters’, Sameer worked on developing pricing models and trading strategies for Bank of America for 3 years. With well-versed hands-on experience in developing quantitative models using python and R, he would like to work as a Quantitative Analyst /Developer post-graduation. |
 | Karan Barde Quantitative Analyst/ Risk Analyst Karan is a graduate student pursuing Master’s in Financial Mathematics with focus on Risk Management using Machine Learning models and Advance Risk Analytics. He is competent in using Python, R, and SQL. He holds Bachelor’s in Chemical Engineering and MBA in Finance from NMIMS University. Prior to joining NCSU, he worked as an intern at Shriram Transport Finance where he raised finances for the company and provided risk management strategies. Upon graduation, Karan aspires to be Quantitative Risk Analyst wherein he wants to develop mathematical models and work on model validation to help companies with their risk management strategies. |
 | Madhur Jiwtani Quantitative Analyst I am a graduate student in a Financial Mathematics program aspiring to pursue a career in quantitative analysis and risk management. With an academic background in Information Technology and an experience in Derivatives Trading of Fixed Income products, I am passionate about applying the mathematical and statistical knowledge into building models for portfolio optimization and risk analysis. Currently polishing my programming skills in Python, SQL and R. |
 | Zhaodong Zhu Quantitative Researcher/ Risk Analyst Zhaodong is a graduate student in NC State University’s Master of Financial Mathematics program pursuing a career in financial risk management and quantitative analysis. Previous education obtained at the Ohio State University with Bachelor of Business Administration in Finance. He had project experiences in quantitative trading, data management, Monte Carlo simulations, risk analysis using Markov Chain, and statistical learning. He is competent in using Python, R, SAS, and SQL for in-depth statistical analysis. |
 | Paramjith Arunachalam Quantitative Analyst/ Trader Paramjith is a graduate student in the Masters of Financial Mathematics program, looking to pursue a career in quantitative analysis or trading. He has a background in Mechanical engineering and is proficient in Python and R, using his analytical and programming skills to develop strategies for trading equities and derivatives. Param’s interests lie in exploring the utilization of AI, machine learning and statistical modelling in quantitative finance. |
 | Premal Patel Quantitative Analyst I am a graduate student in the Financial Mathematics program. After getting my Engineering degree I immediately started working In Finance Industry. I worked as a Financial Assistant with a consulting firm and as a Consultant with SBI Mutual Fund. During that time I also cleared CFA Level 1. I am looking for opportunities to synergise my Quantitative abilities with finance knowledge. I aspire to work in the areas of Quantitative Analysis and Risk Management. LinkedIn – Email |
 | Pooja Wodeyar Quantitative Analyst Pooja Wodeyar is a graduate student in NC State University’s Master of Financial Mathematics program, with work experience of over 6 years as a Business Analyst and a Developer. She holds a Master’s degree in Business Administration with a focus in Finance and has Bachelor’s degree in Electrical and Electronics Engineering. She is passionate about Data Science in Finance and aspires to use her skillset as a Quantitative Analyst after graduation. |
 | Siddharth Thakur Quantitative Analyst Siddharth Thakur is a software engineer, an actuarial student and am currently pursuing a Masters in Financial Mathematics. He has experience building complex financial models and has also briefly worked as an android application developer. His diverse background helps him understand the business requirements and their technology driven processes. Aspiring to drive innovation in the quantitative risk management industry, he is currently focused on learning tools like python and machine learning while equally prioritizing theoretical mathematical concepts of risk modelling. Upon graduation, he intends to pursue a career in quantitative risk modelling. |
 | Sachin Iyengar Quantitative Analyst Sachin Iyengar is a graduate student with a focus on risk management. He has completed a bachelor’s and master’s in accounting with a concentration in enterprise risk management. He plans on combining his quantitative skillset, with his accounting background, in the pursuit of a Ph.D. in Accounting. Sachin is currently learning python, sas, as well as preparing for the CPA and CMA. |
 | Ram Surya Yenda Quantitative Analyst Ram Surya is a self-starter, being an Embedded engineer he transitioned into an independent algorithmic trader. During this time, he developed LFT (Low Frequency Trading) strategies and traded Indian equity markets algorithmically using rest API. Inspired to be a quant with a drive to explore and solve problems, he is currently focusing on applying quantitative methods, machine learning, and neural networks on the financial data sets to manage risk and optimize the performance of algorithmic trading strategies. Currently, He is pursuing his master’s in Financial Mathematics, with his career objectives inclined towards quantitative research and analysis. |
 | Manquin (Iris) Xiong Quantitative Analyst Manqin (Iris) Xiong is a graduate student in Financial Mathematics, focused on risk management. With quantitative skills and related education background, she is looking for job opportunities as a quantitative analyst. She used to have internships in different areas in the financial services industry, including investment banking, consulting, and wealth management. Speaking three languages, (Mandarin, English, and Cantonese). |