Robert E. Hatem

Robert E. Hatem Email and Phone Number

Quantitative Researcher/Data Scientist @ Fidelity Investments
Robert E. Hatem's Location
Boston, Massachusetts, United States, United States
Robert E. Hatem's Contact Details

Robert E. Hatem personal email

n/a

Robert E. Hatem phone numbers

About Robert E. Hatem

Robert E. Hatem is a Quantitative Researcher/Data Scientist at Fidelity Investments. He possess expertise in matlab, event planning, microsoft office, teamwork, microsoft word and 11 more skills. He is proficient in Spanish.

Robert E. Hatem's Current Company Details
Fidelity Investments

Fidelity Investments

View
Quantitative Researcher/Data Scientist
Website:
fidelity.com
Employees:
10
Company email:
Johrenk7@gmail.com
Robert E. Hatem Work Experience Details
  • Fidelity Investments
    Senior Data Scientist
    Fidelity Investments Apr 2022 - Present
    Boston, Ma, Us
  • State Street Global Advisors
    Quantitative Researcher
    State Street Global Advisors Jan 2020 - Apr 2022
    Boston, Ma, Us
    * Research investment ideas using quantitative factors based on behavioral and risk-based rationale.* Build computation pipelines in R using in-house pipeline package and distributed computing.* Translated production codebase to Spark.
  • Ey
    Nlp Project
    Ey Oct 2019 - Dec 2019
    London, Gb
    • Downloading 8K reports, cleaning text, and representing as document-term matrices.• Using topic modelling to compute a distribution over topics for each document (tf-idf, bag-of-words), perform dimensionality reduction using principal components analysis and latent direchlet allocation, then predict returns using logistic regression and random forests.
  • State Street Global Advisors
    Intern, Active Quantitative Equity
    State Street Global Advisors Jun 2019 - Aug 2019
    Boston, Ma, Us
    • On a team with $35B assets under management, I improved one existing alpha factor by adding new data, 2B rows, from a data vendor. My research raised risk-adjusted returns enough that the team will implement the change in their production alpha models.• Clustered several dozen alpha factors using K-means, PAM, and DBSCAN algorithms using Python, R, and SQL. This aimed to fit models within clusters separately to achieve higher correlations, instead of all together.• Researched new NLP sentence and document embeddings (doc2vec, SentEval) for a new alpha factor.
  • Ambir Technology, Inc.
    Data Science Project
    Ambir Technology, Inc. Feb 2019 - Mar 2019
    Wood Dale, Illinois, Us
    • As a one-person team, used random forests in Python to classify words from insurance cards as “member ID” or not in Python and Scikit-Learn. Used to automatically pre-populate forms after a patient scans their insurance card to void manual data entry, saving $12K per year per clinic.* Used OCR (optical character recognition) to extract text from insurance cards.• The proof-of-concept classifier achieved a precision of 0.93 and a recall of 0.94.• Parsed XML files to extract text from 20 insurance cards, engineered nine features based on simple text analysis (e.g., the fraction of characters in a string that is letters), and then binary classified strings as “Group IDs” or not.
  • Cloudquant
    Data Science Project
    Cloudquant Oct 2018 - Dec 2018
    Chicago, Il, Us
    • Collected online web traffic data from 20 companies with seven monthly features collected over one and a half years using Python (Pandas, Scikit-Learn) to build a trading algorithm.• Predicted next-month returns using random forests. Led a team of five students.
  • Management Solutions
    Senior Consultant - Quantitative Analyst
    Management Solutions Jan 2016 - Jul 2018
    Madrid, Madrid, Es
    • As a quantitative consultant, I wrote eight fifty-page reports subject to FR11-7 guidance on machine learning models used in consumer banking. The reports identified models risks; which regimes the model would stop working, and raised risks to senior managers. Did this work for a top-10 global bank by assets.• The eight models covered retail banking, marketing, and credit cards: household wealth prediction (linear regression), prediction of ATM cash drawdown by month (linear regression), prediction of credit card defaults (decision trees), credit card fraud prediction during card swipe (logistic regression), and customer segmentation (k-means clustering).
  • University Of Utah
    Ph.D. Student In Physics
    University Of Utah Aug 2015 - Dec 2015
    Salt Lake City, Ut, Us
    I taught two discussion sections of 30 students each for an introductory physics class. Classes met twice a week for 50 minutes and for 2 hours of office hours.
  • Genscape, Inc.
    Quantitative Analyst Intern
    Genscape, Inc. Jun 2015 - Aug 2015
    Liverpool Street, England, Gb
    Modeled daily dispatch of 536 power plants over 1,200 day historical period by looking at daily bids, consisting of 30 variables. Improved accuracy of estimating daily start cost by 40% - the company implemented the algorithm. Used fundamental data to predict electricity price structure to help asset managers maximize performance.
  • Boston College Skiing
    Student Manager
    Boston College Skiing Jan 2012 - Apr 2015
    Chestnut Hill, Ma, Us
    Collaborated with head coach to handle logistics so athletes can focus on training. 20 days of racing, about 30 days of training, 30+ hours per week commitment in-season. Organized $5000+ worth of training equipment for travel to races.
  • Boston College Skiing
    Undergraduate Research Assistant
    Boston College Skiing Jun 2013 - Aug 2013
    Chestnut Hill, Ma, Us
    Simulated shining light on 5 micron long waveguides using simulation software. Work included in published paper. Worked under guidance of a professor and with a couple other students to create a better microscope.
  • Clemson University
    Undergraduate Research Assistant
    Clemson University Jun 2014 - Aug 2014
    Clemson, Sc, Us
    Modeled fluid flow, derived equations and predicted in MATLAB, then compared to data. Recorded 10,000 data points from a video clip of a drinking moth to graph fluid flow versus time. Ruled out an elliptical shape of the proboscis, suggested more drinking mechanisms.
  • Meredith Marina
    Rental Orientation Leader
    Meredith Marina Jun 2012 - Aug 2012
    Described safe use of rental boat use to customers; pumped gas for recreational boats on Lake Winnipesaukee; provided cordial, prompt care to boats through vacuuming, wiping and waxing.

Robert E. Hatem Skills

Matlab Event Planning Microsoft Office Teamwork Microsoft Word Data Analysis Quantitative Research Powerpoint Research Problem Solving Microsoft Excel Social Media Public Speaking Ocaml Time Management Computer Simulation Technology

Robert E. Hatem Education Details

  • University Of Chicago
    University Of Chicago
    Financial Mathematics
  • Boston College
    Boston College
    Physics
  • St. Paul'S School Advanced Studies Program
    St. Paul'S School Advanced Studies Program
    Marine Biology

Frequently Asked Questions about Robert E. Hatem

What company does Robert E. Hatem work for?

Robert E. Hatem works for Fidelity Investments

What is Robert E. Hatem's role at the current company?

Robert E. Hatem's current role is Quantitative Researcher/Data Scientist.

What is Robert E. Hatem's email address?

Robert E. Hatem's email address is ro****@****sga.com

What is Robert E. Hatem's direct phone number?

Robert E. Hatem's direct phone number is +160377*****

What schools did Robert E. Hatem attend?

Robert E. Hatem attended University Of Chicago, Boston College, St. Paul's School Advanced Studies Program.

What skills is Robert E. Hatem known for?

Robert E. Hatem has skills like Matlab, Event Planning, Microsoft Office, Teamwork, Microsoft Word, Data Analysis, Quantitative Research, Powerpoint, Research, Problem Solving, Microsoft Excel, Social Media.

Who are Robert E. Hatem's colleagues?

Robert E. Hatem's colleagues are Sheryce Jacobs, Tim Terhune, Sydney Majka, Cfa, Matthew Lam, Suniel Pinto, Mark Arruda, Bill Rymer.

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