Software Engineer

rhi•Houston, TX

14d•Hybrid

About The Position

The Software Engineer will be a critical addition to the Data Analytics team within the Trading & Shipping, Trading Analytics & Insights organisation. This organisation comprises Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists. Linked by the common themes of data, numerical algorithms and technology, the team seeks to add value to the business by providing new models, tradable insights, distinctive data sets and agile technology solutions that empower the Analyst community and advantage the commercial teams.

Requirements

Fluent English knowledge and ability to communicate effectively, both verbally and in writing.
Demonstrated current experience with Python programming for data analysis, including working knowledge of libraries such as pandas, numpy and Jupyter.
Actively coding (ideally within the last 2–3 years)
Ability to write clean, highly reliable, production-ready, and efficient code for numerical and analytical tasks.
Experience in Object-Oriented Programming, ability to design intuitive, maintainable classes while effectively utilizing design patterns.
Working knowledge of SQL and relational database systems.
Familiarity with cloud computing concepts, preferably AWS.
Exposure to data visualization tools and frameworks (e.g., Plotly, Dash, Power BI).
Good understanding of web services, ability to integrate with REST APIs.
Understanding of software development best practices, including unit testing, version control (Git), build patterns and deployment pipelines (eg Azure pipelines).
Strong analytical, reasoning and mathematical skills.

Nice To Haves

Dataiku

Responsibilities

Build direct relationships with key analysts and commercial stakeholders, understand their business requirements and immediate goals, and build effective technical solutions based on their guidance.
Work as part of the global team and play a key role in advancing the strategic technology agenda across regions.
Be held by the business as a technical authority and source of expert guidance to the analyst community.
Provide day-to-day problem solving support and proactively disseminating best practice.
Build efficient, resilient and innovative solutions using modern data analytics technologies (including Dataiku, Power BI and Plotly Dash), that enable analysts, inform decision making and drive revenue generation.
Partner with analysts to develop custom interactive dashboard visualization solutions.
Design and build scalable, reusable components and frameworks in-line with mandated architectures.
Rigorously adhere to software development best practice for enterprise-grade applications.
Contribute to the shared proprietary model libraries for use by analysts globally.
Work with the architecture and infrastructure teams in central IT to ensure that designs are aligned with the company technology strategy. Play an interfacing role between IT and the analyst community.