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

Nominate & Attend

Solutions Architect (Credit Risk)

Client 1
Milton Keynes
8 months ago
Applications closed

Related Jobs

View all jobs

GCP Data Solutions Architect

Principal Data Engineer, Consulting

Principal Data Engineer, Consulting

Data Analytics Service Delivery Manager

Senior MLOps/GenAI Infrastructure Engineer

Data Engineer

Job description

Solution Architect - Credit Risk

Salary: Up to £85.8k + £6k Car Allowance

Join our community.

A large retail banking client is looking for a Solution Architect to join their Architecture Team. You'll gain incredible exposure across the business, working closely with other architecture teams (Enterprise, Cloud, Technical, Data & Security Architecture) and liaising with Business and IT colleagues, both locally and globally.

The team works as an Architecture Community across domains, sharing reusable patterns and solutions, and curating new ones to keep the company competitive. If you're passionate about creating practical, workable architectures aligned to IT principles and standards, then this role is for you.

The difference you'll make:

  • Applying strong domain and Decision Driven Design experience, using frameworks like BIAN, TOGAF, ArchiMate, and API & microservice architecture solutions.
  • Owning the end-to-end Solution Architecture, collaborating with other architecture disciplines and aligning with Domain Enterprise Architecture Strategy.
  • Documenting complex As-Is / Transition / Target Architectures aligned with roadmaps.
  • Establishing and maintaining Strategy/Roadmaps, aligning diverse stakeholders across different technologies and business areas.
  • Knowledge of Digital/API/Micro-Services/Big Data/AWS/Azure/Cloud Architecture and relevant software packages.
  • Experience in migrating from legacy technologies to new technologies.

What you'll bring:

  • Experience in IT Systems Design and Solutions Architecture with strong knowledge in the financial sector, specifically Financial Crime (Detection, Monitoring, KYC/CRA, Sanctions Screening).
  • Proven ability to create architectures aligned to IT principles and standards, following appropriate governance.
  • Strong collaboration skills and the ability to communicate complex concepts clearly.
  • Experience in diplomatically challenging and influencing a diverse set of stakeholders.

It would also be nice for you to have:

  • Ability to deal with ambiguity and drive clarity/agreement.
  • Good organizational and prioritization skills across competing demands.
  • A 'can do' attitude and strong sense of initiative, with the ability to learn quickly and handle pressure.
  • Ability to manage risks in a highly regulated environment.

This is a permanent role based in Milton Keynes, with an expectation of at least 2 days in the office each week.

How we'll reward you:

  • Competitive salary with a benefits package tailored to your needs.
  • 8% pension contribution, rising to 12.5% if you contribute as well, with an option to take some contribution in cash.
  • 30 days' holiday plus bank holidays, increasing to 31 days after 5 years of service, with an option to purchase up to 5 contractual days per year.
  • £6,000 car allowance per year.
  • Company-funded individual private medical insurance.
  • Voluntary healthcare benefits at discounted rates.
  • Benefits supporting you and your family, including death-in-service benefit, income protection, and voluntary life assurance and critical illness cover.
  • Share in the company's success by investing in our share plans.
SXJmYWFuLjM3NDU1LjcwNjdAdHJ1c3RpbnNvZGEuYXBsaXRyYWsuY29t.gif
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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

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.