MRE Consulting
Typically
Works independently, determines own priorities and provides functional/technical support to experienced colleagues
Focuses 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 optimise 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
Key Characteristics
Good understanding of math and finance as the role interacts with quant devs, analysts and traders
Familiarity with e.g. PnL, greeks, volatility, partial derivative, normal distribution, etc. Financial and/or trading exposure is nice to have, particularly energy commodities
Productionises models into software applications, ensuring robust day‑to‑day operation, monitoring and back‑testing are in place
Translates trader’s needs into software product requirements
Prototypes and implements data pipelines
Co‑ordinates closely with analysts and traders during development of models, acting as a technical support and coach
Produces accurate, performant, scalable, secure software, and supports best practices following defined IT standards
Transforms proof of concepts into a larger deployable product in client and outside. Rinse and repeat, cross‑pollinate ideas across projects and assets
Works in a highly‑collaborative, friendly Agile environment, participates in ceremonies and continuous improvement activities. Strategic advisor to the businesses & building data science roadmap with the stakeholders
Ensures that documentation and explanations of results of analysis or modelling are fit for purpose for both a technical and non‑technical audience
Develops the technical and non‑technical capabilities of less senior team members
Adheres 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
Evaluates and benchmarks all new initiatives prior to developing solutions
Keeps abreast of new engineering practices, technologies and continuously improves our Agile practices and builds and strengthens relationships and alliances in academia, IDT and industry
Professional Qualifications & Skills Educational Qualification
MSc, 8+ years work experience as software developer, with at least 4 years productionising 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 or finance environment
Required Skills
Strong proficiency in C# .NET, including best practices for performance and scalability
Multithreading and low‑latency apps
Asynchronous messaging
Understanding of market microstructure (order books, exchanges, types of orders)
Front‑office algo trading experience (preferably strategy implementation)
Proficiency in advanced back‑testing methodologies, including walk‑forward optimisation 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 have Skills
Knowledge of cloud platforms
Experience with 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 realisation, end‑to‑end value mapping
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Works independently, determines own priorities and provides functional/technical support to experienced colleagues
Focuses 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 optimise 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
Key Characteristics
Good understanding of math and finance as the role interacts with quant devs, analysts and traders
Familiarity with e.g. PnL, greeks, volatility, partial derivative, normal distribution, etc. Financial and/or trading exposure is nice to have, particularly energy commodities
Productionises models into software applications, ensuring robust day‑to‑day operation, monitoring and back‑testing are in place
Translates trader’s needs into software product requirements
Prototypes and implements data pipelines
Co‑ordinates closely with analysts and traders during development of models, acting as a technical support and coach
Produces accurate, performant, scalable, secure software, and supports best practices following defined IT standards
Transforms proof of concepts into a larger deployable product in client and outside. Rinse and repeat, cross‑pollinate ideas across projects and assets
Works in a highly‑collaborative, friendly Agile environment, participates in ceremonies and continuous improvement activities. Strategic advisor to the businesses & building data science roadmap with the stakeholders
Ensures that documentation and explanations of results of analysis or modelling are fit for purpose for both a technical and non‑technical audience
Develops the technical and non‑technical capabilities of less senior team members
Adheres 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
Evaluates and benchmarks all new initiatives prior to developing solutions
Keeps abreast of new engineering practices, technologies and continuously improves our Agile practices and builds and strengthens relationships and alliances in academia, IDT and industry
Professional Qualifications & Skills Educational Qualification
MSc, 8+ years work experience as software developer, with at least 4 years productionising 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 or finance environment
Required Skills
Strong proficiency in C# .NET, including best practices for performance and scalability
Multithreading and low‑latency apps
Asynchronous messaging
Understanding of market microstructure (order books, exchanges, types of orders)
Front‑office algo trading experience (preferably strategy implementation)
Proficiency in advanced back‑testing methodologies, including walk‑forward optimisation 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 have Skills
Knowledge of cloud platforms
Experience with 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 realisation, end‑to‑end value mapping
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