Python developer - Financial services - London

City of London
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning/Python Developer

Machine Learning Engineer

AI Engineer Machine Learning LLM - Polish Speaking

Quant Developer / Data Scientist

Machine Learning Developer

Machine Learning Developer

Python developer - Financial services - London

Experienced Python developer looking to take real ownership of technical standards and influence the strategic direction of Python development within a forward-thinking organisation.

Client Details

Python developer - Financial services - London

A recognised Financial services organisation with a strong presence of credit and investment management expertise.

Description

Python developer - Financial services - London

Key Responsibilities:

Define and enforce Python development best practices, ensuring scalable and maintainable code.
Develop secure, efficient Python-based tools and frameworks, including APIs, data pipelines, and client-facing applications.
Collaborate with business and technical teams to understand requirements and deliver effective technical solutions.
Drive automation and reusable components to improve development efficiency across the business.
Lead DevOps practices tailored to Python development, from version control to continuous integration and deployment.
Mentor junior developers and contribute to internal knowledge-sharing initiatives.
Stay current with trends in Python development, AI, and machine learning to support emerging opportunities.Profile

Python developer - Financial services - London

To be successful a candidate, you will need:

5-8 years of experience in Python development, ideally within financial services, asset management, or private credit.
Expert proficiency in Python and frameworks such as: Flask, Django, Pandas, NumPy.
Strong experience in financial modelling and optimising asset management systems using Python.
Master's in computer science or a similar qualification.
Expertise in cloud platforms, especially Azure, and integrating Python with cloud-based services.
Knowledge of database management systems (SQL, NoSQL) and experience developing APIs.
Proven ability to lead complex workstreams with tight deadlines while collaborating with key internal stakeholders.
A team-oriented mindset with excellent interpersonal and communication skill.s

Job Offer

Python developer - Financial services - London

£(Apply online only) per day - Inside IR35
The role will be mostly onsite with 1 day working from home.
Contract Duration - 6 Months rolling contract

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.