Trading Quantitative Modeller at SmartestEnergy

, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Modelling, Financial Models, Python, VBA, C#, C++, SQL, Data Science, Automation, Algo Trading, Data Analysis, Market Trends, Data Flows, Data Repositories, Bespoke Analysis

Industry

Utilities

Description

This is a genuinely exciting time to join our Trading Team as we continue to expand - be a part of our success story in 2025 and beyond. As part of a small team, you will develop analytical tools and working models to support data-driven decision making across our teams to enable each trading desk to deliver business outcomes with greater agility, productivity and effectiveness. How will I spend my time in this role? Collaborate with business stakeholders to develop new models and analyse market trends; Design, develop and continuously improve models to enable refinement of trading strategies and support data-driven decision-making; Deployment of data science and automation techniques to assist in trading decision making and trade execution (Algo Trading); Develop and maintain data flows in and out of trading related databases, working in collaboration with the data team to develop and leverage enterprise data; Develop and maintain the trading related data repositories supporting business processes required to effectively support data-driven decision making Provision of bespoke analysis to the trading group. What skills/experience do I need to be successful? Experience of quantitative modelling techniques with the ability to create complex financial models; Knowledge and experience working with technologies such as Python, VBA, C#, C++; Good knowledge of SQL interactions from a coding environment and best practices. What sets us apart? Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale. Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize work-life balance, recognizing that your well-being matters. Find out more here. Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation. What happens next? Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you. Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now. We're committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs. At the bottom of each of our adverts you can find one of our recruitment teams' contact details. Please reach out so we can discuss with you further. Check out all our current open positions Our privacy policy is here

Responsibilities

Develop analytical tools and working models to support data-driven decision making across trading teams. Collaborate with stakeholders to refine trading strategies and assist in trade execution.