Manish Agarwal

Manish Agarwal Email and Phone Number

Quantitative Research @ Cubist Systematic Strategies
Manish Agarwal's Location
New York, New York, United States, United States
Manish Agarwal's Contact Details

Manish Agarwal personal email

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About Manish Agarwal

Intuition and abstraction. Alpha is an inefficiency of the market uncovered by the smartness of the algorithm. Risk is not just the standard deviation but also the future uncertainty. If it can't be reduced to the freshman level, we probably don't understand it. The crowd is almost always right.

Manish Agarwal's Current Company Details
Cubist Systematic Strategies

Cubist Systematic Strategies

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Quantitative Research
Manish Agarwal Work Experience Details
  • Cubist Systematic Strategies
    Machine Learning Researcher
    Cubist Systematic Strategies Aug 2020 - Present
    New York, New York, Us
    Systematic Futures and Equity. Mid frequency. Ensemble models.
  • Jefferies
    Senior Quantitative Researcher
    Jefferies Jul 2015 - Jun 2020
    New York City, New York, Us
    Equity and Futures. Technical and Fundamental. Low and mid frequency. Alpha and ensemble portfolio allocation. Machine learning & data science. Cross pollination of asset classes and time scales ideas. Complex sounding simple things. Python. Stuff.
  • Imc Financial Markets & Asset Management
    Quantitative Researcher
    Imc Financial Markets & Asset Management Oct 2010 - Jul 2015
    Amsterdam, Noord Holland, Nl
    Global macro alpha research - commodities, spreads and cross-asset class strategies which are systematic, behavioral and economically motivated.
  • Center For Theoretical Studies, Kharagpur, India
    Research Assistant
    Center For Theoretical Studies, Kharagpur, India Jun 2004 - Jul 2005
    Modeled and simulated stick-slip friction and border collision phenomenon.
  • Maruti Udyog Limited
    Summer Intern
    Maruti Udyog Limited May 2003 - Jul 2003
    New Delhi, Delhi, In

Manish Agarwal Skills

Matlab Python Monte Carlo Simulation R Simulations Statistics Quantitative Analytics Data Analysis Numerical Analysis Financial Modeling Time Series Analysis Finance Mathematical Modeling Latex Quantitative Finance Machine Learning Stochastic Calculus Hedge Funds Microsoft Excel Statistical Modeling Data Mining Econometrics Portfolio Management

Manish Agarwal Education Details

  • Cornell University
    Cornell University
    Theoretical And Applied Mechanics
  • Stanford University
    Stanford University
    Machine Learning
  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Statistics And Data Science Certificate (Ongoing)
  • Indian Institute Of Technology, Kharagpur
    Indian Institute Of Technology, Kharagpur
    Mechanical Engineering
  • Passed Cfa Level 3
    Passed Cfa Level 3
    Passed Level 3
  • New York University
    New York University
    Mathematics In Finance
  • Harvard University
    Harvard University
  • Deeplearning.Ai
    Deeplearning.Ai
    Specialization In Deep Learning

Frequently Asked Questions about Manish Agarwal

What company does Manish Agarwal work for?

Manish Agarwal works for Cubist Systematic Strategies

What is Manish Agarwal's role at the current company?

Manish Agarwal's current role is Quantitative Research.

What is Manish Agarwal's email address?

Manish Agarwal's email address is ma****@****ail.com

What is Manish Agarwal's direct phone number?

Manish Agarwal's direct phone number is (212) 284*****

What schools did Manish Agarwal attend?

Manish Agarwal attended Cornell University, Stanford University, Massachusetts Institute Of Technology, Indian Institute Of Technology, Kharagpur, Passed Cfa Level 3, New York University, Harvard University, Deeplearning.ai.

What are some of Manish Agarwal's interests?

Manish Agarwal has interest in Economic Empowerment, Civil Rights And Social Action, Politics, Science, Education, Environment, Science And Technology, Sketching, Human Rights, Arts And Culture.

What skills is Manish Agarwal known for?

Manish Agarwal has skills like Matlab, Python, Monte Carlo Simulation, R, Simulations, Statistics, Quantitative Analytics, Data Analysis, Numerical Analysis, Financial Modeling, Time Series Analysis, Finance.

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