Quantitative Trader Resume Example

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Jessica Marsh

Quantitative Trader


A highly competent data scientist with three years experience developing and implementing data analysis and modelling processes in a startup business.

My key strengths lie in my ability to apply machine learning and statistical methods to find meaningful insights in data, and create practical models to solve real world challenges in golf.

I am looking for the opportunity to expand my experience of using cutting edge technology and techniques in sports prediction. 


  • R
  • Sports Betting/Trading
  • Python
  • Probabilistic Modelling
  • Machine Learning Models
  • Scikit Learn
  • Data Visualisation
  • Tensorflow
  • SQL

Work Experience

Quantitative Trader

Nellie Analytics


  • Analysis of golf market and performance data to produce probabilistic estimates of tournament winner
  • Live and pre event trading on Betfair exchange
  • Development and enhancement of models to analyse player performance and predict future performance
  • Live brokerage requests for golf

Senior Data Scientist

15th Club

Dec 2020

  • Working to implement data analytics across the world of golf, including with professional players, European Ryder Cup team, and across media outlets
  • Ingesting and managing a variety of data sources into a central database
  • Developing and implementing machine learning models to assess past performance and predict future results
  • Extract actionable insights from data and communicate using appropriate data visualisation
  • Leading constant improvement across our data stack 

Trading Assistant

The Stars Group

May 2018

  • Monitoring and managing real time risk 
  • Live updating of sports odds to reflect liability and updates
  • Regular reporting on trading financial outcomes and associated risk elements
  • Proactively created and implemented a number of processes to automate previously manual odds creation across the business

Civil Engineer

Sisk, Glenbrier and Stewart Construction Companies

Oct 2017

  • 3 roles within construction companies
  • Top graduate into the Sisk Graduate Programme in 2014
  • Role immediately involved high levels of responsibility, accuracy and diligence
  • Management of technical areas such as layout and quality checks across various construction areas
  • Dealing with large teams of site specialist workers, ensuring close collaboration and alignment
  • Made the decision to leave the construction industry to pursue a more technically challenging career in data science


B.Eng Energy Systems Engineering

San Jose State University

May 2014

  • 2.1 Result
  • Covered a broad variety of topics including introductions to multiple programming languages (Python, C++, Matlab, Fortran, Octave)
  • Excellent mathematical foundation which allowed me to transition into a data science career with minimal supplementary study in this area


Stock Price Prediction

JP Morgan Asset Management – Florida

Sep 2016

Use the Sentiment Analysis Algorithms to understand the stock sentiments. 

Project: Twitter Sentiment Analysis 

Tools: NLTK, Python 

Algorithms: Sentiment Analysis

Stock Recommender Systems

JP Morgan Asset Management – Florida

Aug 2015

Recommender systems have become the most popular feature of the stock market. We have developed a artificial intelegint stock recommender tool using the Deep Neural Networks and classification algorithms 

Tools: Python, sklearn

Algorithms: Deep Neural Networks, classification algorithms

Customer Support System

Data Scientist

May 2016

Customer support has become a challenging job for every business. We build a “customer support system” to address and support the needs of the customers. 

Tools: OpenCV, Python 

Algorithms: Convolution Neural Network and other facial detection algorithms


  • English
  • French
  • Arabic
  • German

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