Brady Technologies

Website: bradytechnologies.com

Job details:

AlgoTrading Product Owner

London (Hybrid)

We have a truly exciting opportunity for an

AlgoTrading Product Owner (APO) to be part of an innovative team developing Brady's Power Desk solution for the power and energy markets.

Brady Technologies enables energy market participants to profit in new ways from the energy transition. We provide software solutions to support above market returns from trading, manage power operations, manage complex risks in evolving and volatile markets, impacted by increased decentralisation, diversity of asset types, the drive for decarbonisation, and ongoing regulatory change. Our customers include globally renowned utilities, independent power producers, renewable asset developers, energy and multi-commodity trading firms, oil & gas companies, hedge funds and other financial institutions, as well as state power grid operators.

You'll be responsible for defining our data structure and its initial set up, and designing and managing the data infrastructure for algorithmic energy trading including training, testing, backtesting and deployment of algo trading models. You'll get to support the development of risk assessment and performance assessment frameworks of algorithmic strategies and develop a standardised algo backtesting framework to ensure the continuous improvement of our models.

Role Purpose:

• The Algo Product Owner (APO) will be designing and performance testing the market leading Brady Edge Algo solution.
• The APO will be designing and managing the functionality for algorithmic energy trading that will include training, testing, back testing, and deployment of algo trading models. The APO supports the development of risk assessment and performance assessment frameworks of algorithmic strategies and the development of a standardised algo back testing framework that will ensure a continuous improvement of our models.
• The APO is passionate about their work, enjoys working in cross-functional teams and learning from and teaching others on the journey to build world-class power-trading software.
• The APO will be participating in furthering the research and development and research literature in the energy industry focused data science field by actively participating with the Lead Data scientist to publish in Energy journals of national and international scope.

Key Accountabilities:

• Build a standardised framework for development of algorithmic trading models and their performance assessment
• Test and performance manage the Algo trading solution to ensure it meets customers (traders) requirements
• Demonstrate the algo trading solution to future customers, showing how the product can be used to generate P&L
• Document and present data science models, solutions and infrastructure to technology groups for production implementation, as well as the product team and board committees
• Build a culture of excellence and collaboration as part of a team
• Actively participate in the Scrum team to deliver the product in an agile way by providing user acceptance and compliance with acceptance criteria set for the feature.

Competencies:

Skills:

• European Short-Term trading modelling or trading experience
• Experience in data processing with R and/or Python is desirable
• Data mining, decision science and predictive analytics
• Experience in algorithmic trading and quantitative modelling (modelling)
• Understanding of time series data – storage, processing, aggregation, nesting, clock change conversion
• Great attention to detail with ability to work independently and also as part of a team.

Knowledge:

• Knowledge of predictive algorithms for short- and long-term forecasting of time series, including time series with multiple seasonal cycles
• Knowledge of various methods to assess accuracy of designed forecasting models, perform stress testing and scenario analysis
• Knowledge of cloud infrastructure to some degree, namely MS Azure. Experience of deploying data science solutions (including forecasting models) on the cloud infrastructure desirable.
• Knowledge of a model development pipeline.

What Brady offers:

• Great compensation + 5% bonus + private health insurance!
• 24 days' holiday + bank holidays
• 1/2 day off Christmas Eve & New Year's Eve
• Pluralsight licenses for engineering team members
• Flexible working hours
• An opportunity to build a modern technology platform for the power and energy trading markets
• A positive, values-driven culture

If you need any reasonable adjustments for any stage of the recruitment process, please let us know.

• Brady collects and processes personal data relating to its applicants to manage the recruitment process. Brady is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. As an applicant of a role with Brady, your data will be processed in line with the Recruitment Privacy Notice. You will find this Privacy Notice here: https://www.bradyplc.com/recruitment-privacy-policy/. Please review and ensure that you understand the data processing terms.

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