At a Glance
- Tasks: Help traders analyse and visualise trading activities using cutting-edge tech.
- Company: Join a dynamic trading firm at the forefront of financial technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting projects and potential for career advancement.
- Why this job: Make a real impact in trading by developing innovative solutions with AI and ML.
- Qualifications: Degree in Computer Science or Engineering; strong Python and React.js skills required.
The predicted salary is between 63000 - 77000 £ per year.
Help traders to analyze and visualize their trading activities.
Work with trading and engineering to prototype, test, and integrate pricing and quoting models.
Contribute to core trading infrastructure: data ingestion, analytics, and monitoring.
Perform empirical research, back testing, and performance analysis using historical and real-time trading data.
Design, develop, and maintain user-friendly interfaces (UIs) for our analytical, monitoring and control applications.
Use AI and modern ML tools (including LLMs) to accelerate development, improve prediction, and enrich tooling.
Requirements:
- Undergraduate or Graduate Degree in Computer Science, Engineering, or a related field.
- At least 3 years or more of experience in software development, ideally in a high-paced trading environment.
- Strong software engineering skills in python and typescript/React.js with experience writing robust, performant and scalable code.
- Self-driven, motivated, responsible and highly responsive individual.
- Ability to work effectively in a fast-paced trading environment.
- Able to deliver working projects and solutions effectively and quickly.
- Basic understanding of financial markets and trading workflows.
- Able to balance theory with practical implementation under real-time constraints.
Preferred / Desirable Experience:
- Familiarity with crypto, FX, or futures trading and market making.
- Familiarity with pricing models and risk analytics.
- Understanding of order book dynamics, liquidity provision, and latency-sensitive systems.
- Practical experience with data analysis, time series, and statistical learning.
- Hands-on experience in a trading firm, hedge fund, or market-making environment, ideally with exposure to traders or risk managers.
- Exposure to cloud computing, containers (Docker), or distributed systems.
- Working knowledge of machine learning, AI assistants, and/or LLM integration for code generation, data summarization, or signal extraction.
Wishes:
If you have experience/background working in the area of gaming/gambling this is highly preferred.
Graduate Quants Developer in London employer: Swisslinx
As a Graduate Quants Developer, you will thrive in a dynamic and innovative environment that champions collaboration between trading and engineering teams. Our company offers a vibrant work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies like AI and machine learning. Located in a bustling financial hub, we provide unique advantages such as access to industry leaders and a fast-paced atmosphere that fosters creativity and impactful contributions.
