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) 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 impacts on 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 contributing to meaningful financial solutions. Our commitment to employee growth and the potential for long-term career progression make us an exceptional employer for aspiring tech and finance professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Intern – Local LLM & Trade Management System (Oil Brokerage)
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! If you've worked on relevant tech or trade management systems, make sure to discuss them during interviews. It’s all about demonstrating your hands-on experience.
✨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 connect directly.
We think you need these skills to ace Intern – Local LLM & Trade Management System (Oil Brokerage)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight any relevant projects or coursework, especially in programming and database management, to show us you’re a great fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this internship. Share your passion for technology and finance, and mention any specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t forget to include any technical skills you have, especially in programming languages like Python or JavaScript frameworks. If you've worked with databases or machine learning, let us know how you’ve applied those skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding the process.
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 Problem-Solving Skills
Prepare to discuss past projects or experiences where you tackled complex problems. Think about how you can relate these experiences to the responsibilities of the internship, especially around trade management systems and integrating local LLMs.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with brokers and back-office staff, so think of examples where you’ve successfully done this before.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s trading processes, the technologies they use, or their approach to security and compliance. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
