Data Modelling Analyst

rhi•Houston, TX

1d•Hybrid

About The Position

rhi is recruiting for a Data Modelling Analyst to join our client based in Houston, TX, on a contract basis. This is a hybrid position, with 4 days based in the office and 1 day wfh. This role would be working alongside Gas and Power Trading Americas Fundamental Modelling and Innovation Team. This role provides the opportunity to work closely with analysts and strategists across north American region and commodity lines to design and build scalable solutions to business-critical problems in a fast-paced, data-rich trading environment. The team is seeking a data science professional with strong capabilities in: Data engineering and data modeling, Hands-on Python programming, Proficiency in Pandas is essential, Machine learning concepts, Ability to work with large datasets, Strong understanding of: Modeling best practices, Error analysis.

Requirements

Undergraduate degree in STEM subject or quantitative discipline.
3-5 years hands-on experience working with machine learning models and regressions.
Excellent python skills with a robust understanding of core data science packages (e.g., pandas, numpy, sklearn, etc.).
Experience manipulating and analyzing large, complex datasets.
Strong attention to detail.
Excellent problem-solving skills.
Track record of working with traders or other business stakeholders to create commercially actionable models.
Independent, creative thinker that can find alternative solutions to complex problems.
Desire to continually improve with a passion to innovate and the ability to develop new analytical methodologies.
Ability and desire to work in a fast-paced, dynamic trading environment.

Nice To Haves

Knowledge of US or North American energy markets (e.g., low-carbon, oil, gas, LNG, or power).
Understanding of supply and demand drivers together with how physical and related financial instruments are traded.