Current Students
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. |
 | Gabe Barber Risk Analyst, Portfolio Management, Trader, Financial Consultant Gabe earned his undergraduate degrees at NC State. He double majored in Applied Mathematics with a financial concentration and Economics with minors in Accounting and Entrepreneurship. Gabe has experience using R and Excel and aspires to learn Python and SAS as well. He is currently leading the expansion of his family’s agricultural business and helps manage operations and finances. Gabe also has experience working for a commercial real estate firm in Raleigh and has conducted market research to assist in client investment strategies. He is interested in portfolio and risk management, real estate investments, and financial consulting. LinkedIn – Email |
 | 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 current pursuing 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 |
 | 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. |
 | 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 my career in the financial quantitative analysis domain, and started looking for courses. He also recieved an opportunity as a quantitative analyst intern at a renowned financial services company, Sigmaquant. There he gained hands-on experience in analyzing financial data of different asset classes and statistical models to derive patterns for strategic decision making. 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 |
 | Shirley Shi Quantitative Analyst, Quantitative Research, Trader, Data Scientist Shirley is a graduate from the University of California, Santa Barbara with a bachelor’s degree in Applied Math. She has held several internships during her undergraduate and graduate careers, including working with securities. Shirley has a background in Python, Java as well as R, which when combined with her strong math skills, positions her well for quant opportunities in the financial industry. 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 |
 | Yuqi Wu Quantitative Analyst, Quantitative Research, Portfolio Management Yuqi is an undergraduate majoring in Mathematics and Applied Mathematics at Nanjing Normal University. She is experienced in C and Matlab. After graduation, she wants to work in investment banking conducting quantitative research and analysis. |
 | 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. |
 | 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. |
 | 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. |
Class of 2025
 | George Armentrout Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Financial Consultant George earned his undergraduate degree from Carnegie Mellon University in Mathematical Sciences and Music Technology, with a minor in Computational Finance. George’s robust foundation in mathematics and interest in its applications to finance led him to the Financial Mathematics master’s degree program. With his background in mathematics and skills in programming in Python and R, he plans to pursue his interests in developing comprehensive financial strategies and models. LinkedIn – Email |
 | Divija Balasankula Quantitative Analyst, Risk Analyst, Portfolio Management, Financial Consultant Divija holds a Bioengineering bachelor’s degree from IIT Kanpur but her career has focused on venture capital, financial analysis, and data-driven decision-making. She has extensive expertise in portfolio optimization and valuation modeling. Divija’s professional journey includes key roles at Idea Fund Partners and Fosun International, where she developed fund strategies and facilitated successful investments. She aims to leverage her technical skills and venture capital experience to make significant contributions in quantitative finance, combining strategic investment decisions with advanced financial modeling. LinkedIn – Email |
 | Thad Creech Quantitative Analyst, Risk Analyst, Portfolio Management, Financial Consultant Thad earned his undergraduate degree from UNC-Chapel Hill where he studied Chemistry. Following his undergraduate career, he worked for three years in data analytics which provided him with extensive experience with tools such as Excel, R, and Python to solve complex, real-world data problems. During his professional experience, he continued his education, taking courses in accounting, mathematics, and statistics through NC State University, which led him to join the Financial Mathematics master’s degree program. Upon graduation, Thad is looking to pursue opportunities in risk management, financial consulting, or portfolio management. LinkedIn – Email |
 | Ray Cui Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Ray earned his undergraduate degrees in Real Estate Finance and Informatics at the University of Washington. He has experience using Python, R, MATLAB and Excel. Through his internships in the real estate and macro commodity export investment sectors, he has gained a broader macroeconomic and global perspective. Ray has a strong interest in market risk and credit risk-related work and plans to complete FRM Level 1 this fall. In the future, he hopes to combine his background in quantitative finance modeling and mathematics with his deep understanding of macroeconomics to specialize in the field of market risk. LinkedIn – Email |
 | Jacob Dolan Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Jacob earned his bachelor’s degree in Biomedical Engineering from the State University of New York at Buffalo. He has experience working as a technical solutions engineer for a software company in the healthcare field. Jacob has a deep interest in financial markets and enjoys researching and investing in stocks, which led him to pursue the Financial Mathematics master’s degree program at NC State University. He looks to build upon his mathematics and programming skills during his graduate studies, and plans to pursue a career in quantitative research, risk analysis, or portfolio management upon graduation. LinkedIn – Email |
 | Sophia Feng Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Sophia is a graduate student in the Master of Financial Mathematics program at NC State University. She earned her bachelor’s degree in Finance from Sun Yat-sen University. Sophia has completed three quantitative internships at leading financial institutions, where she leveraged Python, R, and SQL to develop cross-asset arbitrage strategies for algorithmic trading, implemented trend-tracking strategies across diverse asset classes, and conducted extensive back-testing of trading strategies. As a result, she has gained a solid understanding of quantitative analysis techniques and their applications in finance. Along with her academic and work experience, Sophia has been recognized with multiple awards in competitive mathematical modeling competitions, showcasing her problem-solving skills, ability to work under pressure, and aptitude for collaboration in interdisciplinary teams. LinkedIn – Email |
 | Isaac Gohn Quantitative Analyst, Quantitative Research, Risk Analyst, Academia Isaac completed his undergraduate degree at the University of North Carolina at Charlotte, majoring in Electrical Engineering and Physics. During his undergraduate career, he completed two engineering internships during which he developed his programming skills and professional experience. He has a strong background in mathematics, Python, MATLAB, and machine learning. Upon his graduation from NC State’s Financial Mathematics master’s degree, Isaac aims to pursue a career in quantitative analytics in order to leverage his technical expertise and interest in advanced computational methods. LinkedIn – Email |
 | Zhen He Quantitative Analyst, Quantitative Research, Risk Analyst, Data Scientist Zhen completed his Bachelor of Science in Finance and a Bachelor of Economics in Financial Mathematics, which provided him a solid foundation in financial theory and quantitative methods. He has developed robust skills in Python, SQL, and machine learning through hands-on projects, including credit risk modeling and market volatility analysis. Zhen’s professional experience includes internships in marketing data analysis and research roles focusing on financial data and machine learning. He is now focused on pursuing a career in risk and quantitative analysis, seeking to apply his quantitative skills to financial modeling and risk management. LinkedIn – Email |
 | Chase Humiston Quantitative Analyst, Quantitative Research, Portfolio Management Chase earned his bachelor’s degree from the University of California, Berkeley where he majored in Data Science. His undergraduate coursework included computer science, probability, statistics, and mathematics. He has programming experience implementing these concepts using Python, R, and Java. Chase is interested in applying his technical background to the field of finance and expanding his knowledge of machine learning. Upon graduation, he plans to pursue a career in quantitative finance. LinkedIn – Email |
 | Vidyul Jain Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management Vidyul is a graduate student in the Master of Financial Mathematics program at NC State University. He earned his bachelor’s degree with a specialization in Mathematics along with a minor in Financial Economics from University of Delhi, India. In addition, Vidyul completed his Diploma in Data Science from IIT Madras. He began his professional journey at an early-stage Venture Capital firm in Delhi, utilizing Machine Learning to drive investment decisions and identify financial trends. He has a keen interest in Portfolio Management, Risk Management and Quantitative Analysis, areas that require his strong analytical and mathematical background. Through the MFM program, he aims to leverage his acquired skills and add to his knowledge to make meaningful contributions in the Quant Finance Industry. LinkedIn – Email |
 | Joseph Jonasson Quantitative Analyst, Risk Analyst, Portfolio Management, Actuary Joseph holds a bachelor’s degree in Mathematics from Iowa State University, where he served as a supplemental instructor for Calculus 1 and participated in research on probabilistic graph theory. He has honed his programming skills in R, Excel VBA, and MATLAB through academic projects and a co-op as a process engineer. Currently, Joseph is focused on advancing his proficiency in R and expanding his knowledge of Python. His career aspirations are centered around risk analysis, quantitative analysis, and actuarial science. In September 2024, Joseph will be taking the P Exam as part of the Society of Actuaries’ preliminary exams, followed by the FM Exam shortly thereafter. LinkedIn – Email |
 | Sarang Kansara Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Sarang is a current graduate student pursuing a Masters in Financial Mathematics. He possesses a robust technical foundation cultivated through his bachelor’s degree in engineering from VJTI, India, and two years of hands-on software engineering experience. His year-long tenure as a risk analyst further provided him the opportunity to sharpen his analytical acumen and acquire valuable insights into the risk domain, leveraging industry-standard tools such as Refinitiv and S&P Capital IQ. Having successfully completed CFA Level 2 and exhibiting a strong inclination towards quantitative finance and portfolio management, Sarang is well-equipped to make significant contributions to the field of finance. LinkedIn – Email |
 | Dev Kewlani Quantitative Research, Risk Analyst, Portfolio Management, Trader Dev has a strong foundation in market analysis and experience in developing back-testing frameworks for options strategies. He has previously interned as a discretionary trader in commodities at Futures First, worked full time in Wealth Management and Risk Modelling at Blackrock and as an algorithmic trader in Indian Index Options at NX Block Trades, gaining practical experience in trading and risk management. He also successfully passed the CFA Level 1 examination and has a robust foundation in quantitative methods, financial data analysis, and econometrics. In addition to his technical skills in Python, SQL, and financial modeling, Dev has a strong interest in volatility forecasting and aims to contribute to a leading financial institution’s success in the areas of quantitative research and trading, and risk management. LinkedIn – Email |
 | Will Lanzoni Quantitative Analyst, Risk Analyst, Portfolio Management, Trader Will earned his undergraduate degree with a major in Finance and a minor in Mathematics at Siena College, in Loudonville, New York. Will has experience using R and Microsoft Excel and plans to expand his skillset in Python and SAS. After developing crucial financial analyzing skills while interning for a lending company in Albany, NY, he plans to transition to a Trading and Portfolio Management role. Will developed multiple stock pitches and evaluations for the Bjorklund Fund at Siena College during his undergraduate studies and was rewarded for having one of the top earning stocks in the fund’s portfolio. Will plans on using his computational skill set to become an analyst at an Investment Bank or Hedge Fund subsequent to graduation. LinkedIn – Email |
 | Tharun Reddy Mandadi Quantitative Research, Data Scientist Tharun graduated with a master’s in Mathematics and a Bachelor of Civil Engineering from BITS Pilani in 2019. As a Senior Consultant with Deloitte US-India, Tharun handled the valuation of diverse financial instruments including private company equity securities, options, warrants, preferred and common stock, performance awards, convertible notes, debt and related embedded derivatives, fixed income securities, contingent considerations and derivatives. He utilized advanced statistical and financial techniques, such as option pricing model, binomial lattice, and Monte Carlo simulation for financial and tax reporting purposes. Prior to Deloitte, he was the Senior Analyst and Intern at EY GDS for close to 3 years, which culminated in his joining the EY US Complex Securities team to provide valuation services on various debt instruments and structured products. Tharun has broad experience working in derivatives valuation, complex securities, structured products, as well as financial and market risk modelling. LinkedIn – Email |
 | Chelsea Niles Quantitative Analyst, Risk Analyst, Portfolio Management, Financial Consultant Chelsea is currently pursuing a master’s degree in Financial Mathematics at North Carolina State University. She holds a bachelor’s degree in Actuarial and Financial Mathematics with a minor in Economics from McMaster University, Canada. Her undergraduate education provided her with a strong foundation in quantitative finance, probability theory, and mathematical modeling. Chelsea has experience with R, SAS, Python, and Excel, and has successfully passed SOA exams P and FM. Upon graduation, she hopes to pursue a career in quantitative analysis or risk management. LinkedIn – Email |
 | Jinjia (JP) Peng Quantitative Analyst, Risk Analyst, Portfolio Management, Trader, Financial Consultant Jinjia (JP) graduated from the University of California, Irvine with a degree in Math and Finance. His work experience includes interning with the Safran Group, providing statistical and demand analysis, working with optimization models and other mathematical forecast methodologies to support the needs of the aircraft equipment manufacturer. During his undergraduate studies, he conducted financial case studies and utilized CAMP and WACC models, as well as performed risk assessments. JP has a background in Python and MATLAB and is developing his programming skills in R and SAS while in his graduate career at NC State University. Upon graduation, he is interested in portfolio management and professional trading. LinkedIn – Email |
 | Sanith Rao Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Sanith completed his bachelor’s degree in Applied Mathematics from Purdue University, with minors in Computer Science and Economics. With undergraduate research in Machine Learning and Linear Optimization, he aims to apply these skills in the field of quantitative finance. Sanith has a strong coding background with proficiency in Python, C++, Java, SQL, and R. He is interested in Trading, Risk Analysis, and Portfolio Management roles. LinkedIn – Email |
 | Vismit Rekhan Quantitative Analyst, Risk Analyst, Portfolio Management, Trader, Financial Consultant, Equities and Fixed Income Vismit is a graduate student at NC State University pursuing his master’s degree in Financial Mathematics. He earned his bachelor’s in Business Administration with a specialization in Finance in India. Vismit began his finance journey with cash segment investments and has completed CFA Level 2 and FRM Part 1, igniting his passion for finance further. He has worked as a Senior Analyst for an American multinational investment bank, covering equities and convertible bonds settlements across North American and European markets, and as a Treasury Associate at a manufacturing firm, managing cash buffers. Vismit has extensive experience in portfolio management, data analytics, and automation. Throughout his career, he has developed strong skills in Python, financial modelling using Excel, IPO analysis and equity valuation. He is now exploring the quantitative side of finance to bridge his traditional finance knowledge with the industry’s dynamic landscape. His interests include portfolio management, fixed income and equities research, and private markets. Vismit aims to leverage his finance and quantitative skills as well as his professional experience upon graduation. LinkedIn – Email |
 | Jingxing Wang Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader, Data Scientist Jingxing is a Financial Mathematics graduate student at NC State with over 2 years of quantitative research and analyst experience. He has a rich experience in cross-sectional stock selection, time series forecasting, hedging, machine learning, and algorithm design. Jingxing holds a bachelor’s degree in Economics from Shanghai Jiao Tong University, with internship experience working in futures and securities. He is proficient in Python programming, C++, R, MATLAB and MySQL. Jingxing career interests include quantitative and risk analysis, portfolio management, and data science. LinkedIn – Email |
 | Yu Wang Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Yu earned a dual bachelor’s degree in Economics and Computer Science from Shanghai University of Finance and Economics. Following her internships in fundamental research and obtaining a Master of Science in Finance from the University of Illinois at Urbana-Champaign, she aspires to transition into quantitative roles. This has led her to pursue the master’s of Financial Mathematics at NC State University. Her expertise spans complex security pricing, quantitative risk management, and data analytics with machine learning models; and she is skilled in Python, R, and SQL. She also has over a year of experience managing math competition students. Yu is focused on careers in quantitative trading, research, strategy, and risk management. LinkedIn – Email |
 | Jinyi Yang Quantitative Analyst, Quantitative Research, Risk Analyst, Portfolio Management, Trader Jinyi completed his bachelor’s degree in Financial Mathematics from Southern University of Science and Technology. He possesses a solid background in stochastic processes and partial differential equations, along with proficiency in Python and C++ programming. Jinyi has experience using Python to develop high-frequency trading strategies for market making and building global risk factor models using various regression methods. Following his graduation, he aims to pursue a career in quantitative trading and quantitative research. LinkedIn – Email |
 | Nick Zehnle Quantitative Analyst, Quantitative Research, Portfolio Management, Trader, Data Scientist Nick earned his bachelor’s degree in Mathematics and Economics from the College of William & Mary. As an undergraduate, he completed an honors thesis investigating the relative performance of a discrete-time model and a continuous-time model in the payoff estimation of variance swaps. He is experienced in applied mathematical research, statistical modeling and analysis, and time-series econometrics. Nick is proficient in Python, R, and SQL with a strong interest in machine learning and stochastic processes. Upon graduation, he aims to pursue a career as a Quantitative Researcher, Analyst, or Trader. LinkedIn – Email |