M. Mustafa Arif

M. Mustafa Arif Email and Phone Number

Masters of Finance student at MIT Sloan School of Management @ Two Sigma
new york, new york, united states
M. Mustafa Arif's Location
Cambridge, Massachusetts, United States, United States
About M. Mustafa Arif

Masters of Finance Student at MIT Sloan School of Management.

M. Mustafa Arif's Current Company Details
Two Sigma

Two Sigma

View
Masters of Finance student at MIT Sloan School of Management
new york, new york, united states
Website:
twosigma.com
Employees:
1664
M. Mustafa Arif Work Experience Details
  • Two Sigma
    Data Scientist
    Two Sigma Feb 2023 - Present
    New York, United States
  • Mit Sloan School Of Management
    Graduate Teaching Assistant
    Mit Sloan School Of Management Sep 2022 - Dec 2022
    Cambridge, Massachusetts, United States
    Teaching Assistant for Advanced Mathematical Methods for Financial Engineering
  • Two Sigma
    Data Science Intern
    Two Sigma May 2022 - Aug 2022
    New York, United States
  • Mit Sloan School Of Management
    Graduate Teaching Assistant
    Mit Sloan School Of Management Sep 2021 - May 2022
    Cambridge, Massachusetts, United States
    Teaching Assistant for Foundations of Modern Finance
  • Panagora Asset Management
    Mit Sloan – Panagora | Joint Finance Lab
    Panagora Asset Management Jan 2022 - Mar 2022
    Boston, Massachusetts, United States
    Leveraged Natural Language Processing to analyze the impact of NGO reports on equity returns. Used findings to develop a predictive alpha signal and a proof-of-concept trading strategy.
  • University Of Toronto
    Undergraduate Researcher
    University Of Toronto Sep 2020 - Apr 2021
    Toronto, Ontario, Canada
    Defining Soccer Playing Styles through a Data-Driven Approach:Performed exploratory data analysis on soccer game event-log datasets across 5 European Leagues and derived quantifiable metrics via statistical approaches and graph theory to find team playing style.Clustered teams according to playing style using unsupervised learning algorithms.
  • Public Health Ontario
    Machine Learning Engineer
    Public Health Ontario Sep 2020 - Dec 2020
    Toronto, Ontario, Canada
    Implemented deep learning architectures for anti-vaccination sentiment extraction from daily twitter posts via natural language processing.Developed a realtime interactive dashboard to summarize results by time and geographical space to aid in public health policy recommendations.
  • Ontario Teachers'​ Pension Plan
    Data Science Intern - Quantitative Strategies & Research
    Ontario Teachers'​ Pension Plan Sep 2019 - Sep 2020
    Toronto, Canada Area
    Conducted data science research on trading strategies in the public equities and commodities markets utilizing alternative data.
  • University Of Toronto
    Undegraduate Research Intern
    University Of Toronto May 2018 - Sep 2018
    Toronto, Canada Area
    Developing an impedance imager for biological tissues by prototyping the designs on FPGA boards and interfacing with a PC through Python and MATLAB.

M. Mustafa Arif Education Details

Frequently Asked Questions about M. Mustafa Arif

What company does M. Mustafa Arif work for?

M. Mustafa Arif works for Two Sigma

What is M. Mustafa Arif's role at the current company?

M. Mustafa Arif's current role is Masters of Finance student at MIT Sloan School of Management.

What schools did M. Mustafa Arif attend?

M. Mustafa Arif attended Mit Sloan School Of Management, University Of Toronto.

Who are M. Mustafa Arif's colleagues?

M. Mustafa Arif's colleagues are Bendy Medawar, Christopher Busby, Cfa, Ashok Kumar, Caleb Harris, Carlo Barlo Undefined, Andrew Kaplan, Dusko Dugousko.

Not the M. Mustafa Arif you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.