Gregory Jones
London
Overview
5
5
years of professional experience
Work History
Model Developer
Fitch Ratings
2023.05 - Current
- Directed end-to-end credit model development in Python, overseeing all stages from data pre-processing to model implementation, testing, and deployment.
- Re-platformed Private Equity CFO credit model to Python, utilizing numpy, numba and pandas, resulting in 100x performance speed-up.
- Implemented new features into a machine learning ratings model that enhanced user experience, producing 50x increase in efficiency.
- Collaborated with cross-functional teams to integrate new model into existing systems, resulting in increased productivity.
- Wrote and compiled extensive technical model documentation using Sphinx.
- Worked with a team of developers using version control (Git) as well as server deployment of models on AWS.
Post-doctoral Researcher
Imperial College London
2022.09 - 2023.03
- Used Monte Carlo modelling to simulate millions of particle trajectories and interactions with distributed computing.
- Handled large datasets in Python, performing data analysis and delivering key insights to Rolls-Royce for novel nuclear engineering concepts.
Research Consultant
WorldQuant
2019.04 - 2019.12
- Created 30+ market neutral, alpha generating trading strategies, achieving 2nd place in Imperial college Algothon.
Education
PhD - Computational Nuclear Engineering
Imperial College London
London, ENG07.2022
Master of Engineering - Mechanical Engineering
Loughborough University
Loughborough, LEC06.2018
Skills
- Python
- VBA
- Linux
- Numpy
- Scipy
- Pandas
- Statsmodels
- Mathematics
- Calculus
- Test-driven Development
- Git
- AWS
- Profiling
- Algorithm Development
Timeline
Model Developer
Fitch Ratings
2023.05 - Current
Post-doctoral Researcher
Imperial College London
2022.09 - 2023.03
Research Consultant
WorldQuant
2019.04 - 2019.12
PhD - Computational Nuclear Engineering
Imperial College London
Master of Engineering - Mechanical Engineering
Loughborough University