Current Students

Class of 2022

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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.

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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.
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Sachin Iyengar
Professor

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.
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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.
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Shraddha Kumari
Quantitative Analyst

Shraddha Kumari is a graduate student pursuing Master’s in Financial Mathematics with work experience in Credit and Risk Analysis wherein she was responsible for assigning PD and LGD grades to commercial loans for a US bank. Project experiences include critical stress testing for time series forecasting in python and ECL calculation. Upon graduation, she intends to design innovative analytical models for investment or risk analysis.
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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.
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Yuan-Chun Lin
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.
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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.
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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.
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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.
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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.
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Sameer Nallavupalle 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.
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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.
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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.

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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.
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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.
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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.
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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.

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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.
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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.
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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.
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Anand Modwel
Quantitative Research, Trader, Data Scientist

Anand aspires to advance his career with one of the world’s premier buy-side firms. Awarded the Wells Fargo Fellowship, Anand has had exciting experiences as a Fixed Income Analyst with a top-tier Indian proprietary trading firm. Passionate about creating algorithms that solve real-world problems and an expert at building large-scale analytic models, Anand has worked as a Data Science Intern with the Department of Atomic Energy during his undergraduate studies. His academic interests lie within the field of stochastic modeling and volatility filtering and estimation.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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