At a Glance
- Tasks: Join our Trading Risk & Operations team to automate finance processes and enhance data quality.
- Company: Dynamic energy trading company at the forefront of technology and data science.
- Benefits: 38 days holiday, health insurance, gym membership, and a £5000 learning budget.
- Other info: Join a diverse team that values curiosity and offers excellent career growth opportunities.
- Why this job: Make a real impact in a fast-paced trading environment while developing your tech skills.
- Qualifications: Degree in Computer Science or related field; strong Python and SQL skills required.
The predicted salary is between 28000 - 35000 £ per year.
We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become their best selves.
This graduate role sits within the Trading Risk & Operations team and offers the opportunity to work on key projects at the intersection of Finance, Risk, and Technology. You will support the transformation of key Finance processes by helping to automate manual workflows, improve data quality, and deliver actionable insights to stakeholders. Working closely with experienced team members, you’ll gain exposure to a fast-paced trading environment whilst developing skills in data, process improvement, and automation.
- Support the documentation and understanding of existing Finance processes, working from business requirements and priorities defined by senior team members to develop and implement technical solutions.
- Assist in identifying opportunities to improve and automate manual Finance processes.
- Implement fully automated and reliable solutions, including:
- Data ingestion, control, and maintenance
- Processing and transforming data to support reporting and analysis
- Developing and maintaining scripts, applications, databases, and automated workflows
- Participating in testing and parallel runs to ensure the accuracy and reliability of new solutions
- Monitoring and maintaining automated processes in production, ensuring data integrity and smooth operation
- Implement visualisation tools to help stakeholders gain insight from data and support decision-making.
- Contribute to ongoing improvements in Risk and control processes.
- Explore and apply modern tools, including AI, to enhance efficiency and delivery speed.
- Contribute to the design of scalable and maintainable technical solutions, considering data structures, application design, automation, and user experience.
What You’ll Bring:
- A degree in Computer Science is strongly preferred, although Engineering, Mathematics, Physics, or a related technical discipline will also be considered.
- Strong programming skills in Python (with experience using libraries such as Pandas), along with familiarity with SQL and working with databases (e.g. Snowflake).
- Experience with version control (e.g. GitHub), alongside exposure to data visualisation tools or lightweight application frameworks (e.g. Streamlit or similar), and familiarity with Excel (VBA is a plus).
- A genuine interest in building technology solutions and understanding how code, databases, automation, visualisation, and system design work together to solve business problems.
- A full-stack mindset, with enthusiasm for working across different aspects of a solution, from data and databases through to automation, applications, and visualisation.
- Solid communication skills, with the ability to work effectively with stakeholders across teams such as Technology and Finance.
- Strong problem-solving skills and a desire to learn new technologies and approaches.
Desirable:
- An interest in, or basic understanding of, commodities markets or accounting principles.
- An interest in project-based work, including translating business requirements into practical solutions and supporting their implementation.
Benefits & perks:
- Vitality health insurance and dental cover.
- 38 days of holiday (including bank holidays).
- Pension scheme.
- Annual Bluecrest health checks.
- A personal learning & development budget of £5000.
- Free gym membership.
- Specsavers vouchers.
- Enhanced family leave.
- Cycle to Work scheme.
- Credited Deliveroo dinner account.
- Office massage therapy.
- Freshly served office breakfast twice a week.
- Fully stocked fridge and pantry.
- Social events and a games room.
Diversity matters
We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact.
Graduate Data & Automation Engineer Trading Risk & Operations · London employer: Dare
At Dare, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As a Graduate Data & Automation Engineer in London, you'll benefit from a generous personal learning budget, extensive holiday allowance, and a range of health and wellness perks, all while working alongside talented professionals in a dynamic trading environment. Our commitment to diversity and employee growth ensures that you will not only contribute to meaningful projects but also develop your skills and career in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data & Automation Engineer Trading Risk & Operations · London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Dare when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Dare.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Dare.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Dare’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Data & Automation Engineer Trading Risk & Operations · London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Dare, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Dare aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Dare
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
