What are the responsibilities and job description for the Algo Trading / Low Latency Systems position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Synkriom, is seeking the following. Apply via Dice today!
Typically:
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 Key Characteristics
Good understanding of maths, finance as 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
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 Professional Qualifications & Skills
Educational Qualification
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.
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 (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 have Skills
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.
Typically:
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 Key Characteristics
Good understanding of maths, finance as 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
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 Professional Qualifications & Skills
Educational Qualification
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.
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 (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 have Skills
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.