Current Students
Class of 2023
 | Nidhay Acharekar Quantitative Analyst, Quantitative Research, Portfolio Management, Financial Consultant, Corporate Finance Nidhay completed his bachelor’s degree with specialization in Electronics and Communication along with minors in Finance from BITS Pilani University, India. Nidhay is interested in derivatives pricing, financial modeling, quantitative analysis, fixed income analysis, alternative investments and portfolio optimization and has gained theoretical knowledge in these subjects as part of undergraduate course work. He has developed an interest in statistics and financing which urged him to pursue a career in the same field. Along with this he has also achieved CFA Level 2 and FRM Part 2 candidate and will be completing these programs in the near future. Nidhay also acquired extensive work experience in computer programming, focused prominently on data analysis and process automation during his internships and my first job tenure. Nidhay intends to further enhance his skillsets while pursuing the master’s program and plans on expanding professional network by interacting with different people in the industry. LinkedIn – Email |
 | Rushikesh Amode Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Data Scientist Rushikesh completed his Bachelor of Technology in Electronics and Communication Engineering. Following graduation, he worked in the Regulatory services department of a Large American Bank as a Software Engineer/ Senior Analyst for three years, where he developed Python modules and utilized a variety of tools like SQL, Hadoop, etc. for the Resolution Liquidity Execution Needs report for the FED. Rushikesh has experience working with ML and DL models for a variety of data from signals to finance. Rushikesh aspires to work in areas like Quantitative Analysis and Risk Management and leverage the skills learned in the MFM program. LinkedIn – Email |
 | Venkata Sachin Chandra Margam Quantitative Analyst Sachin has a degree in M.Sc Economics and three years of experience with a European investment bank. He developed his interest in quantitative finance while working there, where he gained a thorough knowledge of statistical methods such as Merton-type credit portfolio modeling and Monte Carlo simulation, where he helped implement strategies to develop their credit model. His current interest is in building models through machine learning applications in the financial market. He is competent in using Python, R, and SQL for in-depth statistical analysis. LinkedIn – Email |
 | Xudong Chen Quantitative Analyst, Risk Analyst Xudong Chen obtained his first master’s degree in Economics concentrating on Applied Econometrics, with high proficiency in quantitative economics analysis and programming language, including Python, SQL, Spark, R. He developed his interest in quantitative analysis while working for project, where he used Monte Carlo and machine learning in modeling valuation and credit risk analysis. He is able to communicate in English, Chinese and Japanese for diverse working environments and he is preparing FRM for further development. LinkedIn – Email |
 | Zihan Chen Quantitative Analyst, Quantitative Research, Portfolio Management, Trader Zihan Chen has a strong interest in portfolio and investment management. Being an enthusiastic programmer, Zihan enjoys using his coding skills combined with financial literacy to generate insights from the financial market. He has experience as a fixed-income research intern in a mutual fund which made him more determined to pursue a career as a quantitative analyst. Before joining NCSU, Zihan obtained two first-class bachelor’s degrees at The Chinese University of Hong Kong in the field of business administration and computer science respectively. While in school, Zihan earned the Bang How Memorial Scholarship for my exemplary academic performance and leadership skills. |
 | ChiehHsi Cheng Quantitative Analyst, Risk Analyst, Portfolio Management, Trader, Data Scientist ChiehHsi holds a BBA Business Administration and BBA Finance and has experience programming with both Pyhton and C++. ChiehHsi is looking forward to expanding his professional network in the finance field and learn cutting-edge theories related to Blockchain and Cryptocurrency. ChiehHsi is interested in pursing a career related to derivative pricing and credit risk evaluation in the finance industry or even work content related to the financial engineering sphere. |
 | Manisha Chhetri Quantitative Analyst, Risk Analyst, Financial Consultant Manisha completed her undergraduate program in Finance from Saint Cloud State University. Manisha currently works as a Compliance Consultant for CliftonLarsonAllen where her primary role is providing consulting services to financial institutions on regulatory compliance. She is also a Certified Community Bank Compliance Officer. Manisha’s short-term goal is to learn model validation, computations, risk management and gain knowledge for future roles. Her long-term goal is to be a part of the Fintech industry to design and run better risk management system for the banking industry. LinkedIn – Email |
 | Vaishnavi Choppalli Quantitative Analyst, Portfolio Management Vaishnavi is a graduate student in the Master of Financial Mathematics program at NC State University. She has a keen interest in quantitative finance & portfolio management. She comes with a background in Statistics, Economics, and experience with programming languages including R and Python. She brings experience from the Market Risk Analytics Department of an investment bank, where she developed and implemented a risk component to satisfy internal and regulatory risk management requirements, conducting its optimization and updating target spread calibrations. She aspires to transition to Quantitative analysis and portfolio management based profiles. LinkedIn – Email |
 | Nakul Haridas Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Academia Nakul has over a year of experience in Risk Management and is proficient in using Python, SQL and R. Having completed a master’s in quantitative economics, he is proficient in econometrics, and optimization methods. Nakul has also passed FRM level 1. He aspires to transition into quantitative analyst roles upon graduation. |
 | Rohit Jain Quantitative Analyst, Quantitative Research, Risk Analyst Rohit is an economics major with a data science minor from Indian Institute of Science Education and Research, Bhopal where he graduated in 2022. Rohit has conducted several recent projects that are relevant in the field of finance that include sentiment analysis, opinion mining, stock price prediction and machine learning. He also worked as a research assistant focusing on modelling of crop yield density and bootstrapping to draw plausible inferences. Rohit has experience in Python, R, time series analysis and economics. Rohit is interested in pursuing careers in risk and quantitative analyst roles. LinkedIn – Email |
 | Shashank Jaipuria Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Financial Consultant Shashank completed a dual degree in Aerospace engineering from the Indian institute of Technology Kharagpur. His interests involve mathematics, quantitative analysis and reasoning, and statistics. Shashank has experience in Python, Excel, and is interested in quantitative analysts roles. |
 | Forrest Jin Risk Analyst, Data Scientist Forrest graduated from Stony Brook University with a bachelor’s degree in biochemistry and economics, he looks to focus his graduate studies towards credit risk management and data analysis. |
 | Abhilash Kalapatapu Quantitative Analyst, Risk Analyst, Trader, Financial Consultant Abhilash is looking to pursue a career in risk management or quantitative analysis. He has prior work experience as a commodity futures trader and as a product manager at a commodity trading risk management firm. Abhilash is proficient in SQL, R and Python. |
 | Eby George Kannamkara Quantitative Analyst, Financial Consultant Eby George is pursuing a career in financial risk management, quantitative analysis or financial modeling.He has a bachelor’s in Engineering and is experienced in Python, R and MATLAB. He is a CFA level 3 candidate who has also cleared FRM level 1. LinkedIn – Email |
 | Shivani Kohade Quantitative Analyst, Risk Analyst, Financial Consultant Shivani completed her Bachelors in Electronics Engineering and a MBA in Finance from Pune university (PUMBA). Prior to joining NCSU as a graduate student in Financial Mathematics Shivani has worked as a Credit Analyst for 2.5 years in CRISIL in their Public Finance department. She has rated more than 100 entities all across US in association with S&P Global wherein she assessed Economic and financial profiles, rating them according to S&P standards which also includes assessment of ESG factors. Upon graduation Shivani would like to pursue a career as a Quantative/Risk Analyst in which she will be able to develop mathematical models & help companies with their investment strategies. LinkedIn – Email |
 | Amritesh Kumar Quantitative Analyst, Quantitative Research, Trader Amritesh is passionate about finance and numbers and believes in making data-based decisions. He completed his undergraduate in Electrical & Electronics Engineering from BITS Pilani. His professional experience is in Data Science and Analytics in Banking and Financial Services. With interest in using the same data-based approach and analytics in Finance and Trading, he also briefly traded in the Equity and Cryptocurrency market. He is proficient in Python, SQL, Excel, developing decision models, and building trading strategies. He has completed his CFA level 1 and a certification program in Algorithmic Trading from QuantInsti. LinkedIn – Email |
 | Ankit Kumar Saw Quantitative Research, Trader Ankit is passionate about applying computational methods to financial research and modelling. In his last Algorithmic trading internship at William O Neil, he drove value doing factor research on technical indicators for US equities markets. Pursuing his graduate studies in Mechanical and Industrial Engineering at IIT Kharagpur, he qualified for FRM Level 1. Prior to joining NCSU for his graduate studies in financial mathematics, he has worked as Senior Data Scientist at India’s biggest recruitment firm naukri.com. He has built large scale Data Science products such as recommendation engine and monetization models applying Machine Learning and Deep learning using Python and SQL. He is a regular contributor in research journals and published papers in AAAI, NAACL,ECAI, ASONAM conferences. In his free time, he likes to conduct trading, cooking, travelling and poetry. Combining his Computational Finance knowledge and Data Science skills, he looks to pursue careers in Quantitative Research and Trading. LinkedIn – Email |
 | Xiaoyu (Olivia) Li Risk Analyst, Data Scientist Xiaoyu has a background in Applied Mathematics and a solid foundation in mathematical modeling. She has work experience in data management and analysis. Xiaoyu has experience using Python, SQL and SAS. Upon graduation, Xiaoyu intends to pursue a career in data science and risk analysis in financial industry. |
 | Dimitrios Ligas Trader Dimitrios is genuinely passionate about Time-Series Econometrics and Options Theory. He holds a Bachelor’s Degree in Finance from the Athens University of Economics and Business, while he has experience working as a Risk Analyst at the Market-Making department of HSBC Pantelakis Securities S.A. Entrepreneurially minded, Dimitrios is also the co-founder of an innovative Laundry & Luggage Care Hub in Greece. He brings excellent numerical and analytical skills in conjunction with strong programming skills in Python and R. Upon graduation, he wants to pursue a career as a Quantitative Trader/Options Market-Maker in the Proprietary Trading industry. LinkedIn – Email |
 | Parth Mahajan Quantitative Analyst, Quantitative Research, Risk Analyst, Data Scientist Parth is a graduate student in Financial Mathematics with a keen interest in math surrounding the quantitative aspects of modeling in finance. He has work experience in derivatives trading, data modeling and has used Python and SQL extensively in his work as well as managed a portfolio of commodity futures. He has engaged in several academic projects and has a deep understanding of the fundamentals of finance. After graduation, he aspires to work as a quantitative analyst to leverage these skills. LinkedIn – Email |
 | Jack McManus Quantitative Analyst, Quantitative Research, Portfolio Management Jack is a Financial Mathematics graduate student pursuing a career in quantitative research. As an undergraduate, he earned a BSBA from Georgetown University where he majored in Finance. During his time as an undergraduate, he interned at Hilton Capital Management, an asset management firm with over two billion dollars in AUM. He has experience with C++ and Excel, and is currently adding Python and R to his skillset. LinkedIn – Email |
 | Sauvik Mittra Quantitative Analyst, Quantitative Research, Portfolio Management, Trader Sauvik completed his Bachelor of Technology in Chemical Engineering and an MBA in Finance from India. Post graduation, he worked as an Institutional Equity Sales Trader for a leading domestic brokerage firm catering to institutional clients across the globe who trade in the Indian equity markets. With over five years of work experience, Sauvik decided to pursue the masters program in financial mathematics to enhance his quantitative skills and develop an all-round profile in the industry. Sauvik wants to pursue a career in Portfolio Manager/Fund Manager while simultaneously leveraging his quantitative skills to generate alpha for the organization. LinkedIn – Email |
 | Hemanth Pinnamaraju Quantitative Analyst, Data Scientist Hemanth has work experience in Operational Risk, Financial Reporting and Analytics. Hemanth is experienced in utilizing Python for automation and is well versed with dashboarding using MicroStrategy and Tableau. Hemanth aspires to pursue a career as a Data Scientist/ Quantitative Analyst where he can use his skills to develop and implement quantitative models. LinkedIn – Email |
 | Ritu Sharma Quantitative Analyst, Portfolio Management, Trader Ritu is a mathematics enthusiast and has studied Electronics and Telecommunications Engineering. She has 3 years of work experience at UBS on the Investment Bank trading floor as Tech Analyst, which drove her interests in finance. Ritu has technical experience with equities and equity derivatives trading based applications. Professionally, Ritu wants to pursue a career in Algorithmic Trading and Quantitative Analysis. LinkedIn – Email |
 | Palak Sinha Risk Analyst, Financial Consultant Palak completed her undergraduate studies in engineering were she developed her skills on various programming languages like C, C++, SQL, Python, and MATLAB. With concentration in Electronics & Communication stream, Palak discovered a passion for economics and finance. She is interested in pursuing a career in Risk and Financial Consulting. LinkedIn – Email |
 | Zitao Song Quantitative Analyst, Risk Analyst, Trader, Data Scientist Zitao graduated from Penn State University with a degree in computational mathematics and two minors in economics and statistics. He is interested in risk models and pricing models with a career goal in Risk Management. Zitao has a strong background in mathematics, statistics, finance, and coding. He also has gained extensive related experiences during my undergraduate, including two data analysts and a risk analyst position. LinkedIn – Email |
 | Niyati Srivastava Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Financial Consultant Niyati has a background in mathematics and financial economics. During her previous roles, she extensively worked on data analytics and strategies using Python, R and SAS. Niyati has been working for credit forecasting teams to size losses for CCAR, CECL and budget exercises. A part-actuary, she is keen on reading about the impact of economic and social policies on the financial industry. With over 2 years of experience in credit risk management, Niyati aims to transition to roles in quantitative research and analysis. LinkedIn – Email |
 | Gundepudi V (GV) SuryaSashank Quantitative Trading GV completed his bachelors in Mechanical Engineering and interned at a proprietary firm as a Quantitative/Technical Analyst in India. He is experienced in Python and R and is building skills in C++, Java, and SQL. GV is familiar with back-testing trading ideas and producing buy/sell signals using basic technical analysis. He is experienced in developing workflows for data science projects and the life cycle of developing trading strategies. GV is excited to be part of a collaborative effort in developing the next generation of mathematical models and computational technologies for building robust strategies for trading equities and derivatives. LinkedIn – Email |
 | Ameya Tembhekar Quantitative Analyst, Risk Analyst, Portfolio Management Ameya has over 6 years of professional experience in software development and finance. Specifically gaining over 3 years of experience in Equity Derivatives based Structured Products design, trades and Fixed Income Risk administration monitoring. These roles involved working on products in various markets including India and the United States. Ameya has gained skills in equity derivatives pricing, monitoring the options life cycle, analyzing various market scenarios, options portfolio, back testing trading strategies, and analyzing fixed income portfolios. Ameya completed his Bachelors in Electronics and Telecommunications Engineering from Nagpur University in India and also completed a Post Graduate Diploma in Management with a Finance concentration from Indian Institute of Management Amritsar in India. Ameya would like explore careers in quantitative finance and risk management. LinkedIn – Email |
 | Zhong Tian Quantitative Analyst, Risk Analyst Zhong earned his Bachelor of Business Administration in Finance from City University of Hong Kong. With solid academic background and internship experience in fixed incoming trading, he is passionate about using mathematics and statistics to solve credit/market risk problems, while utilizing programming skills in Python/R/SQL/SAS during his graduate study. Upon graduation, Zhong would like to pursue a career in risk management. LinkedIn – Email |
 | Harshil Zaveri Quantitative Analyst, Quantitative Research, Portfolio Management, Data Scientist Harshil earned his bachelor’s in Computer Engineering and has received a graduate badge in Data Science from IBM. Harshil is experienced in Python and R and is looking to leverage his analytical skills in the domain of quantitative finance. |
 | Ruikang Zhang Risk Analyst, Portfolio Management, Financial Consultant Ruikang has an investment and financial analytic bachelor’s degree from Virginia Tech. Ruikang has expereince in Python and Excel. After graduation, he will be pursing careers in Risk management or strategy consulting. |
Class of 2024
 | Sharath Balthu Quantitative Analyst, Quantitative Research, Risk Analyst, Data Scientist Sharath earned his bachelor’s degree in Mechanical Engineering from BITS Pilani, during which he pursued a specialized elective track centered around finance. His current career aspirations are directed towards the fields of quantitative finance and risk management. I have developed a strong proficiency in various technical areas, including Python, SQL ,data analysis, and machine learning. |
 | Bhanuteja Bolisetti Quantitative Analyst, Quantitative Research, Trader, Data Scientist Bhanuteja completed his Bachelor’s in Computer Science and Engineering from Indian Institute of Technology, Kharagpur. He has also worked as a software engineer in India and has a strong background of mathematics, which led him to the Financial Mathematics masters program. Bhanuteja is interested in the mathematical models and statistical analysis conducted within the financial industry. He is seeking opportunities in Quant Analysis, Research and Trading. |
 | Michael Chan Quantitative Analyst, Quantitative Research, Portfolio Management, Trader, Data Scientist Michael completed his undergraduate program in Business Economics from UCLA. After gaining fundamental experience through two internships at a digital asset custodian and private-credit hedge fund, Michael aspires to transition into quantitative roles. He is fluent in time-series analysis and mathematical modeling techniques applied to financial data. Upon graduation, Michael intends to pursue a career as a Quantitative Trader in the Proprietary Trading industry. LinkedIn – Email |
 | Aditya Chauhan Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Data Scientist Aditya is a graduate student in the Master of Financial Mathematics program at NC State University. He completed his bachelor’s degree in Aerospace Engineering from the University of Nottingham, UK. Aditya has also acquired extensive work experience in data analytics, and process automation during his first full-time job.. Along with this, he is also a CFA Level 1 candidate and has a keen interest in quantitative finance & portfolio management. Upon graduation Aditya wants to pursue a career in Portfolio Management /Fund Management and is looking to leverage his analytical skills in the domain of quantitative finance. LinkedIn – Email |
 | Jasmine Chen Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader, Data Scientist, Financial Consultant, Academia Jasmine Chen is currently pursuing a Master’s degree in Financial Mathematics from North Carolina State University and holds a Bachelor’s in Information Management and Finance from National Yang Ming Chiao Tung University. Her proficiency in programming and quantitative analysis equips her for a diverse range of career paths. With a passion for Quantitative Analysis, she aims to excel as a Quantitative Analyst, leveraging her mathematical prowess for insightful financial modeling. Her appetite for innovative strategies drives her toward Quantitative Research, where she seeks to unravel complex financial dynamics. Risk Analysis equally captivates Jasmine, highlighting her commitment to identifying and mitigating financial vulnerabilities. The spheres of Portfolio Management and Trading attract her, utilizing her analytical prowess to optimize investment decisions and capitalize on market trends. In these roles, her adaptability, analytical prowess, and unwavering pursuit of growth position her as a standout candidate. |
 | Ming-Hung Chen Quantitative Analyst, Quantitative Research, Trader, Data Scientist Ming-Hung earned his bachelor’s degree in Business Administration from National ChengChi University. Throughout his undergraduate studies, he showcased a diverse range of interests and a strong aptitude for asset pricing, stock trading, and portfolio construction, as evidenced by his involvement in various course projects. He adeptly combined analytical and numerical skills using programming languages such as Python, C++, R, and Matlab, applying them effectively to financial contexts. LinkedIn – Email |
 | Wan-Yung Chen Quantitative Analyst, Quantitative Research, Trader Wanyung Chen holds a bachelor’s degree in Physics from National Chung Hsing University and is skilled in Python and C++ programming. His interest lies in quantitative trading strategy and derivatives pricing, areas he explored during his undergraduate studies. He gained practical experience using Python for data collection, strategy development, back-testing, and performance analysis. Wanyung aims to expand his professional network in the quantitative field and cutting-edge Machine Learning theories. His long-term goal is to make a mark in the Quantitative Finance industry by crafting innovative trading strategies and conducting advanced quantitative analysis. |
 | Bhaskar Durvasula Quantitative Analyst, Quantitative Research, Data Scientist, Quantitative Model Developer Bhaskar has a M.Sc degree in Economics from BITS Pilani University , India. He has developed a keen interest in finance, statistics and programming which motivated him to take up a career in quantitative finance. Bhaskar has worked as a Quantitative Analyst with an American Bulge Bracket Investment bank for two years. He is proficient in Python , R and SQL languages which he has used to implement statistical analysis and automation. Bhaskar is passionate about applying computational methods to financial research and modeling. He intends to further expand his knowledge in quantitative modeling while pursuing the Master’s program and transition into model development based roles upon graduation. LinkedIn – Email |
 | Jayanth Elangovan Quantitative Analyst, Quantitative Research, Risk Analyst, Financial Consultant Jayanth holds both a bachelor’s and master’s degree in Mechanical Engineering, specializing in Intelligent Manufacturing, from IIT Madras, India. He commenced his professional journey in the compliance division of a prominent Indian bank, where he served as a product manager and cultivated a growing interest in finance. Jayanth has attained CFA Level 1 certification and displays keen enthusiasm for derivatives pricing, financial modeling, quantitative analysis, and risk assessment. His extensive academic pursuits and research, including a master’s thesis, have endowed him with a robust mathematical foundation and advanced proficiency in programming languages such as Python, MATLAB, and C++. Driven by his aspirations, Jayanth seeks to pursue his career in the fields of risk and quantitative analysis. |
 | Qinyang Huang Quantitative Analyst, Trader, Data Scientist Qinyang completed her bachelor’s degree with specialization in Business Administration along with minors in Finance from University of Shanghai for Science and Technology. During her third year of study, she interned in the Asset Management Department of Huaxin Securities Limited Liability Company as a data analyst, where she gained proficiency in using Excel to collect and clean data extracted from Wind Database, and then use Python to identify trends and patterns and make recommendations to the manager. Also, she passed FRM level 1 the same year. After graduation, she worked as a trader in a private-equity firm for 1.5 years, where she is responsible for IPO subscriptions, and various kinds of off-exchange transactions. Qinyang has engaged in designing one trading strategy, the arbitrage of private placement, which made her more interested in working in areas like Quantitative Analysis or Data Science. LinkedIn – Email |
 | Franco Iozzo Quantitative Analyst, Portfolio Management, Trader Franco obtained his undergraduate degree in Finance and Business Administration prior to working as a broker for TD Ameritrade/Charles Schwab, specializing in options and obtaining his SIE, Series 7, and Series 63 licenses. With an avid passion for the markets, Franco has 3+ years of experience in derivatives trading, as well as accumulating several years of knowledge as a portfolio manager, managing his own portfolio and being the VP of Portfolio Management at Friends University during his time in college. While working as a broker, Franco became interested in the quantitative and computational aspects of trading and portfolio management, eager to combine his extensive financial knowledge with solid mathematical, statistical, and computational skills. Currently pursuing a Master’s in Financial Mathematics at North Carolina State University, Franco aspires to pursue a career in quantitative analysis and trading. LinkedIn – Email |
 | Brian James Quantitative Analyst, Risk Analyst, Portfolio Management Brian completed his undergraduate degree at North Carolina State University, majoring in Finance with a minor in mathematics. He has work experience as a member of the Treasury Data Team for First Citizens Bank where he sharpened his data analytics skills. Upon graduation Brian is looking to pursue a career in Quantitative Analytics. LinkedIn – Email |
 | Manoj Katravath Quantitative Analyst, Risk Analyst, Portfolio Management, Trader, Data Scientist Manoj completed his bachelor’s degree in Computer Science from IIT-Guwahati and boasts over 5 years of professional experience, spanning Software Development and Finance sectors. He held the role of Assistant Manager at India’s largest bank, the State Bank of India, followed by a position with the Government of India’s Ministry of Finance as a Taxation Officer. His diverse background provides him with a comprehensive understanding of investment products. He has adeptly analyzed and predicted market trends, crafting robust investment strategies and briefly engaging in equity and cryptocurrency trading. Acknowledging the importance of enhancing quantitative skills, Manoj has chosen to pursue advanced studies. His goal is to cultivate a well-rounded skill set within the industry. He is particularly drawn to areas such as Quantitative Analysis and Risk Management. Through the MFM program, he aims to leverage the acquired skills and knowledge to make meaningful contributions in these domains. LinkedIn – Email |
 | Kundan Kotte Quantitative Research, Data Scientist Kundan completed his bachelors degree in computer science. He has 3 years of experience working as a software developer utilizing different technologies that include C++, Java, and Python. He developed a genuine interest and passion towards finance during this time and is excited to apply his education and experience in the financial world. He aspires to work as a quantitative researcher and implement the latest technologies and statistical methods in finance. LinkedIn – Email |
 | Lucas Li Trader, High Frequency Trading Lucas earned his Bachelor’s degree in Information Security, specializing in distributed system programming. With nearly two years of experience as a software development engineer/intern at renowned high-tech companies such as TikTok and Amazon, he has effectively applied his knowledge in computer networks, systems, algorithms, and modern programming concepts. His role involved crafting large-scale distributed storage systems and backend infrastructures that cater to everyday mobile applications. His primary interest lies in high-frequency trading for market making and arbitrage, utilizing statistical methods to enhance his strategies. Lucas’ drive to expand his expertise led him to pursue a master’s degree in financial mathematics. He aims to enhance his proficiency in statistical modeling and machine learning, crucial assets in constructing more effective trading systems for both trading firms and personal ventures. LinkedIn – Email |
 | Robin Li Quantitative Analyst, Risk Analyst, Portfolio Management Robin earned his Bachelor of Mathematics degree with a minor in Physics from North Carolina State University. He has experience in credit risk modeling and financial risk analysis, and is proficient in the programming languages R and Python. Following his graduation, he aspires to pursue a career in risk analysis and portfolio management. LinkedIn – Email |
 | Claire Li Quantitative Analyst, Quantitative Research, Data Scientist Claire graduated from Zhongnan University of Economics and Law with a degree in Financial Mathematics. Claire has a strong background in mathematics, statistics, finance, and coding. Combining her computational finance knowledge and data science skills, she looks to pursue careers in Quantitative Research and data Scientist. |
 | Juan Lopez Quantitative Analyst, Risk Analyst Juan has a strong interest in becoming a Quantitative Analyst or Financial Risk Analyst for the Buy Side, Sell Side, or Banks. With over 10 years of international and multicultural professional experience as an Actuary in the US, Bermuda, and the whole Latin American region, he is ready for new challenges. Moreover, he is uniquely positioned to leverage his international experience and education at NC State to effectively transition to these roles. Juan has a BSc and MSc in Industrial Engineering from Universidad de Los Andes in Colombia, has passed multiple SOA Actuarial Exams, successfully passed the Pre MFE program at Baruch College in New York, attained the Certificate in Quantitative Finance (CQF) and is a SAS Certified Professional Data Scientist and Programmer. LinkedIn – Email |
 | Prithwish Maiti Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader, Actuary Prithwish completed his bachelors in mathematics and computing from IIT Delhi. His bachelors was very mathematically rigorous and created a foundation in the data science and statistical domains. He then worked as a data scientist at Hilabs, a health data analytics company. In this role, Prithwish developed in depth knowledge in big data analytics and NLP. After this, he decided to pursue career in the financial quantitative analysis. He received an opportunity as a quantitative analyst intern at a renowned financial services company, Sigmaquant. There he gained hands-on experience in analyzing limit order book data of different asset classes from exchanges. He worked on deriving statistical models to filter out non-institutional limit orders. With the knowledge of derivatives markets, statistical modeling, data analysis and programming skills, he is looking forward to pursue career in quantitative research. LinkedIn – Email |
 | Sagar Prasad Quantitative Analyst, Trader, Data Scientist, Financial Consultant, Private Equity Sagar completed his Bachelor of Technology in Computer Sciences from NIT Srinagar India. He has a keen interest in investment banking, private equity and quantitative trading. He has a strong background in statistics, mathematics, and computer science with abundant experience in programming languages such as Python, SQL, and Java. Sagar has done multiple projects in the field of data science and finance including a research paper on combining cryptocurrency and machine learning algorithms for price prediction. Sagar wants to pursue a career in Quantitative trading and Quantitative analysis. LinkedIn – Email |
 | Zhao Qu Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader, Financial Consultant, Academia Zhao Qu served as the trading director for an emerging capital management firm in Shanghai. His responsibilities included discretionary stock and futures trading, macroeconomic research, industry analysis, and corporate due diligence. He possesses a deep understanding of technical analysis, bolstered by an impressive trading track record and experience in overseeing traders. Zhao Qu earned his Bachelor’s degree in Engineering from Nanjing Tech University and has consistently expanded his knowledge in his free time post-graduation. Currently, he is a CFA Level III candidate. Recognizing the pivotal role of quantitative tools in his profession, Zhao Qu has embarked on studies at North Carolina State University to hone his expertise in quantitative analysis and portfolio risk management. His aim is to bring a fresh perspective to his trading career. In the future, he aspires to find a position as a trader, quantitative researcher, risk manager, or portfolio manager. LinkedIn – Email |
 | Kavya Regulagedda Quantitative Analyst, Quantitative Research, Risk Analyst, Data Scientist Kavya has an undergraduate degree in Electrical and Electronics Engineering. During her time as an undergraduate, she interned with UBS in the Account Data Management team specifically on the Reconciliation process. After graduating, Kavya worked as a Software Developer in the futures and options team at a prominent trading platform in India. She has experience in Python, C++, Alteryx, R and SQL and intends on pursuing a career in Quantitative Analysis and Data Science. LinkedIn – Email |
 | Yug Sharma Quantitative Analyst, Quantitative Research, Portfolio Management, Trader Yug is a dedicated finance enthusiast who has recently earned his Bachelor’s degree with a major in Finance and a minor in Management Information Systems from Iowa State University. He has also gained valuable experience in the asset management industry. Following his graduation, he aspires to pursue a career in Quantitative Trading or Portfolio Management. LinkedIn – Email |
 | Aman Syed Quantitative Analyst, Quantitative Research, Trader Aman is a Financial Mathematics graduate student pursuing a career in Quantitative Research and Trading. He graduated from BITS Pilani in 2020 with a Bachelor of Engineering in Computer Science and has since transitioned into a career in the Capital and Commodity Markets. Having worked as a Quantitative Index Researcher with MSCI Inc. developing Market Indices and optimized portfolios, and with prior experience trading energy derivatives on ICE and NYMEX at India’s largest proprietary trading firm, he brings real-world trading, portfolio management and programming experience to the table. With his zeal for the financial markets, a solid programming background in Python, C++ and SQL, and a sound understanding of finance, machine learning and data analysis, Aman is ready to dive into the realm of Quantitative Trading and Modeling with gusto. LinkedIn – Email |
 | Abhiram Vadlamani Quantitative Analyst, Quantitative Research Abhiram completed his Bachelor’s degree from the University of Melbourne, where he majored in Actuarial Science and Finance. He also has experience in the fields of fundamental analysis, investments, machine learning and most recently life insurance consulting. He developed his interest in quantitative finance while working, where he gained knowledge of the key mathematical and data science underpinnings various financial securities, such as options, ETF’s and modeling/pricing insurance products. His current interest is in building more robust models through machine learning applications for financial securities and forming strategies on the same. He is proficient in Python, R, and excel VBA. LinkedIn – Email |
 | Hongyi Xia Quantitative Analyst, Quantitative Research, Risk Analyst, Data Scientist Hongyi completed his bachelor degrees at Penn State University with majors in Computational Mathematics and Actuarial Statistics. He has immense coding project experience including machine learning & deep learning with Python, statistical analysis with R & SAS, and numerical analysis with Matlab (like Black-Scholes-Merton Model). Passing two Actuarial Science Exams, P and FM, he has a strong background in Actuarial Science and Quantitative Finance. He also has completed two research experiences including application development with R and Machine Learning Application Study. LinkedIn – Email |
 | Prachi Yadav Quantitative Analyst, Quantitative Research, Portfolio Management, Trader, Financial Consultant Prachi is a Financial Mathematics graduate student pursuing a career in a quantitative analysis. She graduated with a Bachelors of Science in Computer Science with minors in Economics and Mathematics from UNC Charlotte last May. During her time in undergraduate, she has developed her coding skills in various languages like Python, Java, SQL and MATLAB. Prachi intends to pursue a career in quantitative analysis and research after graduation. |
 | Zhijiang Yang Quantitative Analyst, Quantitative Research, Risk Analyst, Trader Zhijiang Yang received a master’s degree in applied Mathematics from the Chinese University of Hong Kong, Shenzhen. He is familiar with probability theory, partial differentiation and other mathematical knowledge and related programming languages, including Python, C++, Matlab. He developed his interest in quantitative trading during his internship, in which he realized the interperiod and cross-variety arbitrage strategy of commodity futures with linear regression and Kalman filter. He also hopes to learn more about algorithmic trading in the future. He hopes to become a quantitative trader in the future through his master’s degree. |
 | Hewenbo Zhang Quantitative Analyst, Quantitative Research, Portfolio Management, Financial Hewenbo graduated from the Chinese University of Hong Kong, Shenzhen, majoring in Applied Economics. His solid background in micro- and macroeconomics provides him with a unique perspective in researching and uncovering innovative factors and has also trained him in statistics, R, SAS and Python. His working experience in FUTU as a quantitative researcher also allows him to keep track of the latest technologies applied in the industry. After graduation, Hewenbo looks forward to work as a quant analyst, utilizing the knowledge he gained during his undergraduate and graduate studies. |
 | Kexuan Zhou Quantitative Analyst Kexuan Zhou obtained his bachelor degree of applied mathematics in Jilin University. In addition to his solid mathematical background, he also has work and project experience in analyzing stocks with statistical methods implemented in Python and R. He is interested in quantitative models and wants to become a quantitative analyst in future. |