Aarish Pathare
Vice President Sales and Trading at TD Securities
FX Sales and Trading
TD Securities
https://www.linkedin.com/company/tdsecurities
FX Trading
New York, New York, United States
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Vice President Sales and Trading
Millennium Advisors, LLC
https://www.linkedin.com/company/millennium-advisors-llc
Charlotte, North Carolina Area
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Vice President Quant Trading
Millennium Advisors, LLC
https://www.linkedin.com/company/millennium-advisors-llc
Charlotte, North Carolina Area
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Associate Quantitative Reasearch
Georgia Institute of Technology
https://www.linkedin.com/company/georgia-institute-of-technology
Atlanta, Georgia
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Graduate Research Assistant
MSCI Inc.
https://www.linkedin.com/company/msci-inc
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Quantitative Specialist  Intern
Reliance
https://www.linkedin.com/company/reliance
Worked on formulating two modules; a model predictive control scheme and a second module that            computed a move plan in manipulated variables (MV) so that the plant can reach a maximum profit state using an optimiser on Matlab.
- Working on the predictive model algorithm gave me a great insight into data management and number crunching (involved analysing the effects of numerous variable and their effects on the output). 
- The second module comprised of programming an optimiser with constraints based on demand-supply trends speculated by market analysts. These trends were then incorporated to derive a move plan in the variables, so as to run the whole plant at its most economically optimum state.
- The project gave me a perspective of how the risks associated in demand and supply are integrated with control theory using optimisation. 
- Offered a pre- placement offer to work full time at Reliance.
Mumbai Area, India
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Engineering Summer Intern
Institute Of Chemical Technology
https://www.linkedin.com/company/institute-of-chemical-technology
Worked on simulating the dynamics of a system of multivariate second order, non-linear differential equations (dynamics were of oscillatory nature). It involved studying the effects of 9 parameters (variables) on the resultant behaviour of the equations. 
- In the first stage of the project a stability analysis was carried out wherein an optimum region of stability was identified, where the oscillations were stable and convergent in nature.
- In the second stage of the project a parameter testing was applied to the equation to determine the parameters that had the most dominant effect on the oscillatory dynamics of the equation.
Mumbai Area, India
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Project Trainee
Institute Of Chemical Technology
https://www.linkedin.com/company/institute-of-chemical-technology
Studied the degradation of Triazophos (pesticide), a high level pollutant in run-off water. The aim of the project was to use Hydrodynamic Cavitation and analyse how the degradation kinetics of Triazophos change with change in the surrounding parameters. 
- The first step was to vary the parameters in the experiment, parameters such as operating pressure, temperature, velocity of fluid flow, pH of solution, etc. The purpose of this step was to collect various samples of the solution to generate a data set which could then be analysed to get a comprehensive degradation equation.
- In the second stage the data collected was then analysed and filtered, after which an equation for the degradation kinetics was generated using regression analysis. Furthermore, the optimum working conditions in which the experiment should be carried out were determined.
- This experience gave me great insight into data analysis and optimisation as well as the technical knowledge of using various Chemical Engineering equipments such as HPLC, Gas Chromatography and TOC.
Mumbai Area, India
Project Trainee
Master’s Degree
Key coursework:
- Machine Learning
- Portfolio Optimisation
- Risk Management, Modeling in SAS 
- Trading Algorithms in C++ 
- Statistics and Data Analysis
- Stochastic Processes
- Derivative Securities
- Fixed Income Securities
- Time Series Analysis
- Financial Data Analysis
Financial Mathematics
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Georgia Institute of Technology
https://www.linkedin.com/school/georgia-institute-of-technology/
Bachelor’s Degree
Key coursework:
• Project Economics
• Applied Mathematics (Calculus, Optimisation Techniques such as Integer Programming, Dynamic Programming, Stochastic Programming, etc.)
• Engineering Physics
• Statistics and Data Analysis
• Simulation Laboratory (C++, Python, Matlab, Visual Basics)
• Design of Experiments (Statistics Course)
• Homepaper Project (Worked on designing a complete plant right from its processes to its funding structure)
• Simulation Laboratory (Python, C++, Matlab, Visual Basic)
• Process Control and Systems Engineering
• Unit Operations (Distillation, Adsorption, Stripping, other Mass transfer equipments)
• Heat Transfer
• Environmental Engineering (Statistics, Math and Chemical Engineering)
Chemical Engineering
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Institute Of Chemical Technology
https://www.linkedin.com/school/institute-of-chemical-technology/
Schooling
Key Coursework:
• Mathematics
• Science
• Technical Drawing
• Writing Skills
Math and Science with elective in Technical Drawing
Bombay Scottish School Mahim
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M. K. Tata Scholarship
R.D. Sethna Trust
R.D. Sethna Scholarship for Higher Studies
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Neterwala Foundation Scholarship
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Shri Brihad Bharatiya Samaj, S.K. Patil Scholarship
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The Lotus Trust Scholarship
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Khurshedji Trust Scholarship
Introduction to Finance
Coursera
Introduction to Financial Accounting
Coursera
Python Language
Code Academy
Implemented code to value Barrier, Knock-in Knock-out, Asian and Digital options using Montecarlo Simulations with various variance reduction techniques such as antithetic variance reduction
EXOTIC OPTION VALUATION
- Leveraged python, to design a dynamic portfolio management system using web crawlers and Google finance API’s
- Scraped values for 7 different parameters (n-day volatility, n-day mean reversion, P/E ratio, momentum, etc.) of stock selection
engine to maximize the returns on in-sample data, over 3 years, consisting of around 1000 stocks listed on Chinese Exchanges
- Evaluated system performance by dynamically rebalancing over out-of-sample data with optimized parameters
- Computed system efficiency: annual return of ~29.5% and MDD of 0.748 on this long-short trading strategy
MULTI-FACTOR PORTFOLIO TRADING STRATEGY
- Computed distance to and probability of default over 50 years for all publicly traded US firms; over 6 billion data points using Black-Scholes model, KMV model and Merton model
- Performed a rolling window logistic regression scheme and ranked default probabilities into groups for out-of-sample testing
- Achieved an excellent prediction result with 85% defaults in the first two groups
DEFAULT PREDICTION AND HAZARD MODELS (SAS)
- Generated a dynamic delta hedging portfolio in stocks and a short in the underwritten European Call    Option; determined risk to an investor’s wealth with the hedging strategy to be 2.6% as opposed to a 13% without the hedging strategy
- Backtracked the Black Scholes equation to generate an implied volatility surface spread using non-linear interpolation for arbitrary strike prices of the option; stock trends were predicted using Monte Carlo Simulations
DELTA HEDGING OF A EUROPEAN OPTION
- Leveraged SAS to statistically analyse 88 years of Equity Market data of all firms list on the NYSE, NASDAQ and Arca Exchanges
- Simulated daily trends of numerous stock parameters and investigated their correlation with VIX and ΔVIX
- Estimated total, systematic and idiosyncratic risk using the Single Index Model, considering the S&P500 as market
US EQUITY MARKETS ANALYSIS
- Studied cross-currency exchange rates of 19 countries to gain a perspective of global factors influencing the FX markets
- Deconstructed most significant macroeconomic risk factors governing the trends in currency markets using principal component
analysis (PCA) and implemented the Fama-French model on those factors
- Compared the time trends of crucial principal components against market and commodity indices to hedge currency risk
- One of the 10 shortlisted candidates amongst a total of 1200 participants
CODE IN FINANCE (Quantitative Strategy)
• Simulated a model predictive control scheme to study the inputs in present time to predict outputs in future time. 
• Applying the Machine Learning Algorithm to past market data, to predict the future price of a stock fairly accurately with 5% error.
Simulating the Model Predictive Module (Stock Price Evaluator)
• Studied the nuclear fuel cycle and the structural and microstructure properties of spent nuclear fuel and its associated hazards. 
• Cost and risk assessment of the various options that can be used for the treatment of spent nuclear fuel. 
• Researched the two options of managing spent nuclear fuel, either reprocessing it using various chemical processes such as extraction, pyrolysis, etc. or disposing it off in the earths crust till it is radioactively benign.
Treatment and Reprocessing of Spent nuclear fuel
• Analysed a balance sheet of a chemical firm and speculated its financial health by studying, financial ratios, Debt, Profits, etc.
Project Economics Course Reports
• Critical paper review to critique the study discussed in the paper on the stability of interacting process control loops. 
• The paper caters to multiple input multiple output (MIMO) systems; and derives a stability region for a PI control system in terms  of control parameters. 
• Here I learnt how to analyse a system of equations that are interactive in nature. The dynamics of on mathematical equation influences the dynamics of the other mathematics equation.
Stability analysis of decentralized PI control systems using Nyquists plots
• Studied an Effluent Treatment plant and analysed the effect of automation on the energy efficiency of the process. 
• With the help of numbers it was found that automation required a higher procurement price, but when viewed over a 20 year  timescale, resulted in a 35% decrease in the energy cost and a 47% reduction in the GHG emissions.
Project on Sustainability in the Chemical Industry
• Analyzed the shape of the front wing and various parameters such as angle of attack, area of the wing, etc. and optimized their  value for the running of the car. 				     
• Manually solved the Navier Strokes partial differential equations around the wing, developed a velocity profile and studied the  pressure gradient required to achieve the downward force needed to maintain stability of the car’s motion.
Designing the front wing of an Formula 1 car
Formulated a python program to extract real-time market data from Yahoo Finance; employed the Markowitz Theory and single index models on NIFTY (market index) and blue chip stocks; extended the code to explore their validity in modern day markets
Portfolio Management
Social Services
Jaisingh Trust
Taught underprivileged children to read and write and along with elementary subjects such as mathematics and science. 
Also involved myself with food drives, wherein every weekend we distributed packets of nutritious food to Cancer patients in need.
Volunteer
Children
Aseema Charitable Trust
https://www.linkedin.com/company/aseema-charitable-trust
Taught primary class students of a government school, by carrying out tutorial lectures. Also aided the teachers with their work.
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Volunteer (Helper)
Health
The Leprosy Mission , India
https://www.linkedin.com/company/the-leprosy-mission-trust-india
Raised money for the trust which in turn goes into research for better treatment of leprosy and improved health care systems for the same. A part of the money also goes into educating and training underprivileged children.
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Volunteer
Environment
WWF
https://www.linkedin.com/company/wwf-international
Member of the club and active participant in the various activities like beach cleaning drives to preserve the planets natural environment.
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Club Member
FINRA
series 52
FINRA
series 63
FINRA
series 7
FINRA
SIE
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Meanwhile about Perception and the concept of 'Context' derived by Asset ManagementPerception:Perception is the sensory experience of the world…
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We have been nominated as one of the #startups by Phoenix Business Journal for the AZ Inno Madness competition. This is a friendly competition that…
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A good thing happened.
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India
Aarish Pathare
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Fixed-Income Electronic Trading
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Fixed Income Traders
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Fixed Income Quant Group
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Algorithmic & Quantitative trading strategy incubation
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Fixed Income Network Group
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alpha  fixed income
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The Georgia Tech Professional Network
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The R Project for Statistical Computing
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Data Scientists
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NAG
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Chicago I Proprietary I Trading l Algorithmic I HFT l Quants I Crypto I Fintech
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Banking Careers
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The QUANTS Network - Institutional Trading Network
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Financial Risk Management Network
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