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For Companies At a Glance
- Tasks: Support client integrations and analyse data for financial institutions using cutting-edge AI technology.
- Company: Fast-growing AI company revolutionising financial decision-making.
- Benefits: Gain real responsibility, learn from industry leaders, and enjoy clear career progression.
- Why this job: Join a dynamic team and make an impact in the world of finance with innovative analytics.
- Qualifications: Degree in relevant field and strong skills in Python and data analysis.
- Other info: Fast learning curve with direct exposure to hedge funds and trading desks.
The predicted salary is between 36000 - 60000 £ per year.
Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows.
We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor.
What You’ll Be Doing
- Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems
- Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases
- Help run and interpret back-tests and validation analysis for client-specific workflows
- Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards)
- Support customers during onboarding and early usage, helping answer analytical and data-related questions
- Collaborate with engineering to improve API usability, documentation, and data quality
- Monitor live signals and help investigate behaviour, changes, or anomalies
What You Bring
- Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar
- Strong grounding in statistics, probability, and time-series analysis
- Comfortable working in Python and analysing data programmatically
- Clear communicator — able to explain analysis simply and honestly
- Curious about how data products are actually used by clients
- Interest in financial markets, trading, or applied ML
Nice to Have
- Experience with APIs, JSON, or data pipelines
- Familiarity with back testing, signals, or quantitative strategies
- Basic SQL knowledge
- Exposure to financial or commodities markets
Tech & Tools You’ll Work With
- Python, AWS, CI/CD
- REST APIs & real-time data pipelines
- LLM-driven analytics & event-based data
- Client-facing dashboards & research workflows
Why Join Permutable?
- Learn how AI and quant signals are deployed inside real institutions
- Direct exposure to hedge funds, banks, and trading desks
- Small team, fast learning curve, real responsibility
- Clear progression into Data Scientist, Quant, or Product Analytics roles
- You’ll help ensure clients don’t just buy the product — they actually succeed with it
Industry: Business Intelligence Platforms
Employment Type: Full-time
Junior Software Engineer (Client Facing Analytics) in City of London employer: permutable.ai
Contact Detail:
permutable.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Software Engineer (Client Facing Analytics) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships; you never know who might help you land that dream job!
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills fit into their needs. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having a portfolio of your work can really set you apart. We love seeing what candidates can do, so make sure to highlight any relevant projects that demonstrate your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of client-facing analytics.
We think you need these skills to ace Junior Software Engineer (Client Facing Analytics) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Junior Software Engineer role. Highlight any relevant projects or coursework, especially those involving Python, data analysis, or client-facing work.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this position at Permutable Technologies. Share your passion for financial markets and how your background in mathematics or engineering makes you a great fit for our team.
Showcase Your Communication Skills: Since this role involves client interaction, it's crucial to demonstrate your ability to communicate complex ideas simply. Use clear language in your application to show us you can explain technical concepts effectively.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you’ll be one step closer to joining our innovative team!
How to prepare for a job interview at permutable.ai
✨Know Your Tech
Make sure you brush up on your Python skills and understand how APIs work. Since the role involves client-facing analytics, being able to discuss how you would integrate data and signals into trading systems will impress the interviewers.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with clients who may not have a technical background. Think about how you would explain your analysis or methodologies to someone unfamiliar with the tech.
✨Show Your Curiosity
Be prepared to discuss your interest in financial markets and how data products are used by clients. Show that you’re eager to learn and understand the practical applications of your work, as this will resonate well with the company’s mission.
✨Prepare for Real-World Scenarios
Think about potential use-cases for the data and signals you’ll be working with. Be ready to discuss how you would approach onboarding clients and solving their analytical questions, as this shows you’re thinking from a client perspective.
