Quantitative Developer

Zema Global Data

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

M.S. or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Engineering, Quantitative Finance, Operations Research, Physics, Computer Science, or a related field
0-5 years of relevant experience
Candidates with a Bachelor’s degree and some hands-on industry experience are highly preferred
Strong hands-on programming capability in Python or R
Experience building, testing, or maintaining quantitative/statistical models through academic research, internships, or commercial experience
Ability to clearly explain quantitative concepts, modelling approaches, and analytical findings to both technical and non-technical audiences
Strong analytical curiosity, problem-solving mindset
Ability to work collaboratively within a fast-paced environment
B.S. degree and exceptional quantitative and coding capability demonstrated through internships, research, projects, or strong academic achievement will also be considered

Practical exposure to one or more quantitative modelling techniques such as: time series analysis, Monte Carlo simulation, advanced regression and econometric techniques, advanced optimization techniques, including linear and non-linear programming, stochastic programming, and dynamic programming, machine learning
Exposure to energy, commodities, electricity markets, or energy systems modelling
Experience with forecasting, optimization, predictive analytics, or machine learning techniques in academic or commercial environments
Familiarity with software development and deployment tools such as git, Linux, Docker, or Kubernetes
Internship, research assistant, teaching, tutoring or other experience demonstrating strong communication and analytical capability
Experience working with large datasets, simulations, or analytical software platforms

Skills