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- 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: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Join a disruptor in finance and make a real impact with your analytical skills.
- Qualifications: Degree in relevant field and strong programming skills in Python.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 28800 - 48000 £ 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
Junior Software Engineer (Client Facing Analytics) 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)
✨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 valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for those interviews! Research common questions for Junior Software Engineer roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and analytics. We love seeing practical examples of your work, so make sure to highlight any relevant experience.
✨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 join our team.
We think you need these skills to ace Junior Software Engineer (Client Facing Analytics)
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 that showcase your understanding of data science, Python, and client-facing analytics.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about working at Permutable Technologies. Share your passion for financial markets and how your background in mathematics or engineering makes you a great fit for the team.
Showcase Your Communication Skills: Since this role involves explaining complex data concepts to clients, make sure to demonstrate your clear communication skills in your application. Use straightforward language and avoid jargon where possible.
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 can easily keep track of your application status!
How to prepare for a job interview at permutable.ai
✨Know Your Tech
Make sure you brush up on your Python skills and understand the basics of APIs and data pipelines. Be ready to discuss how you've used these technologies in past projects or coursework, as this will show your practical knowledge and readiness for the role.
✨Understand the Financial Landscape
Familiarise yourself with financial markets and trading concepts. Being able to discuss how data products impact trading strategies or market decisions will impress the interviewers and demonstrate your genuine interest in the field.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since the role involves client-facing interactions, being able to communicate effectively will be key. Consider doing mock interviews with friends to refine your explanations.
✨Prepare Questions
Have a list of thoughtful questions ready about the company’s technology and client integration processes. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
