Senior Algorithmic Trading Engineer

Engineers and Constructors International Inc.•Houston, TX

3d•Onsite

About The Position

Join the ECI Group's Professional Technical Services Network as a contract Senior Algorithmic Trading Engineer. This is a Houston based contract role with an anticipated April 13, 2026 start date and ending on October 16 2026. NOTE: You must be a US Citizen or Permanent US resident to qualify for the position. About the role As a Senior / SME (Algo Trading / Low Latency Systems) Engineer you will: Works independently, determines own priorities and provides functional / technical support to experienced colleagues. Focus is on functional design and development of moderately complex applications and infrastructure. Acts as Subject Matter Expert (SME) within projects concerning multiple IT systems / domains. Identifies and advises on opportunities for improvements and on optimal use of applications and Infrastructure. Role is primarily a hands on Software Developer working with the Algorithmic Trading Team to develop software solutions. Using expertise in advanced programming, modeling, and machine learning to design, build, and optimize high-performance, low-latency trading algorithms. Candidate will contribute to system architecture, constantly seek innovative technical solutions to gain a competitive edge, and are expected to mentor junior team members while effectively communicating complex technical and market concepts to diverse stakeholders

Requirements

MSc 8+ years work experience as software developer, with at least 4 years productionizing and releasing models.
Degree level in STEM, computer science, engineering, mathematics, or a relevant field of applied mathematics.
Good understanding of Trading terminology and concepts (incl. financial derivatives), gained from experience working in a Trading of Finance environment.
Strong proficiency in C# .NET, including best practices for performance and scalability.
Multithreading and low-latency apps
Asynchronous messaging
Understanding of market microstructure (orderbooks, exchanges, types of orders)
Front office algo trading experience (preferably strategy implementation)
Proficiency in advanced backtesting methodologies, including walk-forward optimization and robust testing.
Experience integrating with market data feeds and exchange APIs.
Ability to design and implement modular and scalable trading system components.

Nice To Haves

Knowledge of Cloud Platforms
Experience of ETRM systems for trading
Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery)
Forex Trading experience
Risk - Modelling & understanding of risk & risk management.
Commodity Modelling - Energy (power, gas, environmental products) and meteorology.
UI experience (Blazor)
Knowledge of Information Management, data strategy and governance
Commercial skills in Value Assurance, Value estimation and Realization, end-to-end value mapping.

Responsibilities

Productionise models into software applications, ensuring robust day to day operation, monitoring and back testing are in place
Translate trader’s need into software product requirements
Prototype and implement data pipelines
Co-ordinate closely with analysts and traders during development of models, acting as a technical support and coach
Produce accurate, performant, scalable, secure software, and support best practices following defined IT standards
Transform proof of concepts into a larger deployable product in Shell and outside. Rinse and repeat, cross-pollinate ideas across projects and assets
Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities. Strategic advisor to the businesses& building data science roadmap with the stakeholders
Ensuring that documentation and explanations of results of analysis or modelling are fit for purpose for both a technical and non-technical audience
Develop the technical and non-technical capabilities of less senior team members
Adhere to the principles of delivering quality by conducting regular health checks, audits, code reviews to ensure that clean and maintainable production-level code is being produced by project teams
Evaluate and benchmark all new initiatives prior to developing solutions.
Keep abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry