At a Glance
- Tasks: Design and develop a trade management platform with cutting-edge tech.
- Company: Leading oil brokerage firm in London with a global presence.
- Benefits: Immediate impact, mentorship, full-stack experience, and access to ChatGPT Pro.
- Other info: Innovative culture with potential for long-term progression.
- Why this job: Shape crucial financial operations while gaining valuable tech and finance skills.
- Qualifications: Master’s student or exceptional undergraduates in Computer Science or related fields.
The predicted salary is between 20000 - 30000 £ per year.
Location: London, United Kingdom
Company Overview
We are a leading oil brokerage firm based in London, specialising in the trading of crude oil and refined petroleum products. Our company has a global presence and a strong reputation in the industry for providing efficient and reliable trading services to our clients.
Responsibilities
- Design and develop an internal trade management platform:
- Store trade data in a relational database (PostgreSQL, MySQL).
- Build a user‑friendly frontend interface (React, Angular, or Vue.js) for brokers and back‑office staff.
- Implement features such as trade recording, PnL calculations, invoicing, and PDF generation for confirmations and contracts.
- Integrate a local LLM:
- Integrate a chat‑based “agent” for rapid trade updates, data retrieval, and automation.
- Potentially explore open‑source or local deployment frameworks (Hugging Face, GPT‑NeoX, etc.) and integrate them into our ecosystem.
- Implement a Local Wiki – Wiki.js:
- Install and configure Wiki.js to serve as a secure, internal knowledge base.
- Document system architecture, user guides, troubleshooting methods, and more.
- Focus on Security & Compliance:
- Implement role‑based access controls, encryption, and audit trails.
- Ensure adherence to regulatory requirements for financial data retention and confidentiality.
- Collaborate and Communicate:
- Work directly with brokers, risk managers, and back‑office teams to refine the system’s functionality.
- Regularly demo features, gather feedback, and adapt the solution to real‑world use cases.
Qualifications
- Education: Ideally a Master’s student in Computer Science, Software Engineering, or a related discipline. Exceptional undergraduates with relevant industry or open‑source experience will also be considered.
- Technical Skills
- Programming: Proficiency in a server‑side language (Python, Node.js, or C#).
- Frontend: Familiarity with modern JavaScript frameworks (React, Angular, or Vue).
- Databases: Solid grounding in relational database design (PostgreSQL, MySQL, etc.).
- Local LLM Experience: Hands‑on work with machine learning frameworks or deploying LLMs locally is a plus.
- Documentation: Any exposure to Wiki.js or equivalent knowledge‑management solutions is desirable.
- Entrepreneurial Mindset: Self‑starter who can navigate ambiguity and propose creative solutions, willing to try new technologies and pivot quickly, delivering tangible outcomes that drive business value.
- Teamwork & Communication: Ability to translate complex technical issues into understandable terms for brokers and back‑office staff, comfortable discussing new ideas and handling real‑time feedback from various stakeholders, with excellent written and verbal communication skills in English.
Benefits
- Immediate Impact: Your contributions will be utilised daily by brokers, risk teams, and clients, shaping crucial financial operations.
- Broad Exposure: Gain full‑stack experience—ranging from database architecture and front‑end UX to machine learning integration.
- Mentorship & Growth: Benefit from guidance by both senior tech leads and experienced brokers, merging finance and technology in your skill set.
- ChatGPT Pro: You’ll have access to ChatGPT Pro to turbo‑charge the process and aid in your understanding.
- Innovative Culture: We value fresh ideas and entrepreneurial drive; you’ll have the autonomy to help shape project direction.
- Potential for Progression: Outstanding interns may be offered a longer‑term role upon successful completion of the internship.
Intern – Local LLM & Trade Management System (Oil Brokerage) in London employer: Internwise
As a leading oil brokerage firm in London, we pride ourselves on fostering an innovative and collaborative work culture that empowers interns to make immediate contributions to our trading operations. With access to mentorship from seasoned professionals and the opportunity to work on cutting-edge technology projects, you will gain invaluable experience while being part of a dynamic team that values your ideas and entrepreneurial spirit. Our commitment to employee growth and the potential for long-term career progression makes us an excellent employer for those seeking meaningful and rewarding opportunities in the finance and technology sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Intern – Local LLM & Trade Management System (Oil Brokerage) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on an internship opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trade management systems or LLMs. This will give you a leg up when chatting with potential employers.
✨Tip Number 3
Practice your pitch! Be ready to explain how your background and skills align with the role. Keep it concise and focus on what you can bring to the table at the oil brokerage firm.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Intern – Local LLM & Trade Management System (Oil Brokerage) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight relevant skills and experiences that match what we're looking for, especially in programming and database management. We want to see how you can contribute to our trade management platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this internship and how your background fits with our needs. Show us your passion for both tech and the oil brokerage industry.
Show Off Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially if they involve databases or machine learning!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Internwise
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like PostgreSQL, React, and Python. Brush up on your knowledge of relational databases and modern JavaScript frameworks, as you might be asked to discuss how you would use them in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about any relevant projects or experiences you’ve had, especially those involving trade management systems or machine learning. If you’ve worked with Wiki.js or similar tools, highlight that experience and explain how it could benefit the company.
✨Demonstrate Your Communication Skills
Since this role involves collaborating with brokers and back-office teams, practice explaining complex technical concepts in simple terms. You might be asked to demonstrate how you would gather feedback or present features, so think about how you can make your explanations clear and engaging.
✨Emphasise Your Entrepreneurial Mindset
Be ready to discuss how you approach problem-solving and innovation. Share examples of when you’ve navigated ambiguity or proposed creative solutions in past projects. This will show that you’re not just technically skilled but also a proactive thinker who can drive business value.
