National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Developer

York Place
4 days ago
Create job alert

Senior Developer – Shape the Future of Wealth Management!

Are you a passionate Senior Developer eager to make a meaningful impact in the fin-tech sector? You will be joining a well-established business that is dedicated to enhancing financial wellbeing across the workforce by delivering innovative, scalable, and client-centred services. This is your opportunity to be part of a transformative journey that specialises in developing smart financial tools that empower users and reshape the industry.

Along with a salary of £55,000 - £75,000 per annum (DOE), you will also enjoy a range of competitive benefits including an annual profit-share bonus, flexible benefits that encompass private medical insurance, pension contributions, and gym membership, as well as three paid volunteering days every year, including birthday leave. Enjoy hybrid working arrangements with two days in vibrant office environments in either Glasgow or Edinburgh and three days working from home. 

What you’ll be doing as Senior Developer:

Collaborating with AI teams to develop custom solutions focused on financial advice.
Building a cutting-edge data lake, serving as the foundation for advanced analytics and AI-driven efficiencies.
Engaging with high-performing multidisciplinary teams, including technical architects, data engineers, and business stakeholders.
Enhancing the security, scalability, and performance of our software systems.
Contributing to frameworks, integrations, and automation improvements to uphold best practices across the organization.
What we’re looking for: 

A passion for technology, with hands-on experience in Azure and C# within the Microsoft development stack.
Knowledge of data engineering, APIs, and AI-powered solutions, or a strong willingness to learn.
Excellent communication skills to effectively connect technical experts with senior stakeholders.
A problem-solving mindset and the ability to navigate pragmatic trade-offs in software delivery.
Familiarity with Power BI, Python, Angular, and Microsoft Power Automate is a plus.
If you are ready to take the next step in your career and contribute to innovative solutions in the wealth management sphere, apply now for a confidential discussion about your future with us! 

To apply for this role as Senior Developer, please click apply online and upload an updated copy of your CV. 

Note: The job title of ‘Senior’ relates simply to the level of experience and has no relevance to age. You are encouraged to apply for any opportunities that you feel to be suitable, irrespective of age or level of experience.

Candidate Source Ltd is an advertising agency.  Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to

Related Jobs

View all jobs

Senior Developer

Senior Developer - Python

Senior Full Stack Developer

Senior Automation & Developer Engineer

Senior Quant Algo Developer

Senior Engineer Automation & Developer

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.