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- Tasks: Develop analytical tools and models for data-driven trading decisions.
- Company: Join a dynamic, globally-minded team with offices in the UK, US, and Australia.
- Benefits: Enjoy flexible working options and the freedom to work remotely for 30 days a year.
- Why this job: Be part of a diverse culture that celebrates innovation and global impact.
- Qualifications: Experience in quantitative modelling and proficiency in Python, VBA, C#, C++, and SQL required.
- Other info: Hybrid working model with 2 days in the office and 3 days at home each week.
The predicted salary is between 43200 - 72000 £ per year.
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, youwilldevelopanalytical 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 does hybrid working mean to us?
Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.
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.
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Trading Quantitative Modeller employer: SmartestEnergy Business Limited
Contact Detail:
SmartestEnergy Business Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Quantitative Modeller
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative modelling and algorithmic trading. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the trading and data science fields. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations for the Trading Quantitative Modeller role.
✨Tip Number 3
Brush up on your technical skills, especially in Python, SQL, and any other relevant programming languages mentioned in the job description. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to apply these skills in real-world scenarios.
✨Tip Number 4
Prepare for the interview by thinking of specific examples from your past experiences that highlight your problem-solving abilities and how you've used data-driven decision-making in previous roles. This will help you articulate your fit for the position effectively.
We think you need these skills to ace Trading Quantitative Modeller
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Trading Quantitative Modeller position. Understand the key responsibilities and required skills, such as quantitative modelling techniques and programming languages like Python and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your experience in developing analytical tools and financial models, as well as any relevant projects or achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific examples of how your skills and experiences make you a great fit for the Trading Team, and express your enthusiasm for contributing to their success story.
Prepare for Interviews: If selected for an interview, prepare by reviewing common interview questions related to quantitative modelling and data analysis. Be ready to discuss your previous work, problem-solving approaches, and how you can contribute to the team's goals.
How to prepare for a job interview at SmartestEnergy Business Limited
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative modelling techniques. Bring examples of complex financial models you've created and be ready to explain the methodologies behind them.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technologies mentioned in the job description, such as Python, VBA, C#, and SQL. You might be asked to solve a coding problem or discuss how you've used these tools in past projects.
✨Understand the Trading Environment
Research the current market trends and trading strategies relevant to the role. Being able to discuss recent developments in the trading world will show your enthusiasm and understanding of the industry.
✨Emphasise Collaboration and Communication
Since the role involves working closely with business stakeholders, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated on projects in the past.
