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Senior Pricing Analyst
Cardiff (Hybrid – 1x a week)
Up to £60,000

This is an excellent opportunity for a Pricing Analyst to join a growing lending business and play a key role in shaping pricing strategy for an expanding product area. You’ll work on commercially impactful projects, influence pricing decisions, and help drive innovation in a highly analytical environment.

The Company
This organisation is a well-established financial services business with a strong reputation for data-driven decision-making and customer-focused products. They are investing in the growth of their lending portfolio and are continuing to evolve their pricing capabilities to support ambitious business objectives.

You’ll join a collaborative and technically strong team where knowledge sharing, continuous improvement, and professional development are actively encouraged. The structure is flat and supportive, offering exposure to senior stakeholders and opportunities to contribute to strategic initiatives.

The Role
As a Senior Pricing Analyst, you will support the development and optimisation of pricing strategies across lending products. Working closely with stakeholders across the business, you’ll use data and insight to influence decisions and improve commercial performance.

Key responsibilities include:

• Analysing large and complex datasets to identify pricing opportunities and business insights
• Developing recommendations for pricing changes and clearly communicating the rationale to stakeholders
• Maintaining and enhancing pricing models using Excel and Python
• Querying and analysing live data using SQL
• Monitoring portfolio performance and updating key assumptions within pricing models
• Supporting the development of tiered risk-based pricing strategies
• Contributing to new product and market initiatives, including growth and optimisation projects
• Collaborating with technical and commercial teams to improve pricing agility and performance

Your Skills & Experience
To be successful, you will have:

• Strong commercial experience in pricing, revenue management, commercial analytics, or a related pricing function
• Advanced SQL skills and confidence working with large datasets
• Experience building, maintaining, or enhancing analytical models
• The ability to translate complex analysis into actionable business recommendations
• Exposure to financial services, lending, banking, mortgages, retail finance, or another pricing-focused industry
• Python experience is advantageous but not essential
• A degree in a quantitative, analytical, or related subject

What They Offer

• Exposure to high-profile pricing and strategy projects
• Opportunity to work across multiple lending products and markets
• Strong technical mentorship and ongoing learning opportunities
• Collaborative, non-hierarchical culture with regular team events and socials
• Clear scope to develop your pricing expertise and progress your career within a growing team

How to Apply
If you’re a Pricing Analyst with strong SQL skills and a passion for using data to drive commercial decisions, please apply today to learn more about this opportunity.

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Location: Remote (United States, Eastern or Central time zones preferred)
Travel: Approximately 10-20% travel for client meetings and team collaboration
Compensation: Base salary range of $160,000-$185,000

Overview

A technology consulting organisation is seeking a senior AI engineering leader to design, develop, and deploy large-scale AI applications for enterprise clients. This role is suited to an experienced engineer who enjoys owning end-to-end solution architecture, guiding technical direction, and delivering production-ready AI systems with a focus on scalability, security, reliability, and operational excellence.
The successful candidate will work across generative AI, agent-based architectures, cloud-native platforms, and machine learning systems while collaborating with engineering teams and client stakeholders.

Key Responsibilities

• Architect and implement advanced AI solutions, including agent-based systems, reasoning workflows, tool integration, and multi-agent environments.
• Design and optimise Retrieval-Augmented Generation (RAG) platforms leveraging embeddings, vector databases, search, ranking, and knowledge retrieval strategies.
• Build and integrate cloud-based AI applications using managed services, serverless technologies, event-driven architectures, APIs, and data platforms.
• Establish evaluation, monitoring, observability, and testing frameworks for production LLM applications.
• Develop backend services and APIs using modern programming languages and cloud-native design patterns.
• Lead technical architecture discussions and provide guidance to engineering teams across AI initiatives.
• Mentor developers and contribute to engineering best practices, standards, and solution design reviews.
• Improve system resilience through fault-tolerant architectures, monitoring, fallback strategies, and operational excellence practices.
• Partner with business and technical stakeholders to deliver scalable AI solutions aligned with client objectives.

Required Qualifications

• 5+ years of software engineering experience with demonstrated success delivering production AI, machine learning, or generative AI solutions.
• Strong experience building agentic AI systems, LLM orchestration frameworks, tool/function calling, and RAG architectures.
• Deep expertise with AWS services, including:
  • Amazon Bedrock
  • SageMaker
  • Lambda
  • DynamoDB
  • S3
  • Event-driven services and workflow orchestration technologies
• Proficiency in Python and Node.js, including API development and cloud-native application design.
• Experience implementing AI observability, evaluation methodologies, prompt engineering, and production monitoring practices.
• Hands-on experience with containerisation technologies such as Docker.
• Strong understanding of distributed systems, scalability, and modern software architecture principles.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).

Preferred Qualifications

• Experience designing enterprise-scale AI platforms for multiple business stakeholders or client environments.
• Prior consulting, professional services, or client-facing delivery experience.
• Experience leading technical teams, mentoring engineers, and influencing architecture decisions.
• Familiarity with AI monitoring and evaluation platforms such as LangFuse, LangSmith, or similar tooling.

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Machine Learning Engineer
New York | Hybrid (4 days in office)
$200k – $225k base + 20% bonus

A well-funded real estate business is investing heavily in AI and data to transform how strategic decisions are made across its portfolio. They’re hiring a Machine Learning Engineer to join a small, highly visible team building predictive analytics and AI-powered products used by investment and operational stakeholders.

This is an opportunity to work on business-critical systems where data and AI directly influence commercial decision-making.

What You’ll Do:

• Build scalable data platforms, pipelines and ML infrastructure
• Develop and deploy production AI solutions, including LLMs, RAG systems and AI agents
• Partner closely with business stakeholders to solve complex problems
• Drive architecture decisions and technical strategy
• Own projects end-to-end from design through production

What We’re Looking For:

• Experience in ML Engineering & Applied AI
• Production experience building and deploying AI/ML systems
• Strong knowledge of modern data technologies such as Databricks, Spark, Kafka, Airflow and Delta Lake
• Excellent software engineering and distributed systems fundamentals
• Comfortable operating in fast-moving, high-ownership environments

Ideal Backgrounds:

• FinTech, investment management, asset management, hedge funds or other data-driven industries
• Startup or scale-up environments
• Data platform, infrastructure or applied AI teams

Why Join?

• Greenfield AI initiatives
• Small team with significant ownership
• Direct exposure to senior decision-makers
• Opportunity to shape products, architecture and strategy
• Fast-moving environment where ideas quickly reach production

Interested in building AI products that drive real-world business decisions? Apply here!

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Senior Pricing Analyst
Location: Cardiff (Hybrid)
Salary: Up to £60,000

We’re working with a growing organisation looking to hire a Senior Pricing Analyst to support its continued growth and development. This is an exciting opportunity to join an established team, influence commercial decisions and contribute to the development of pricing strategies across a range of products.

The Role

• Analyse large datasets to identify trends, assess performance and support pricing decisions.

• Recommend pricing changes based on data-driven insights, clearly communicating the rationale and commercial impact.

• Maintain and enhance pricing models using Excel and Python.

• Use SQL to query and analyse live data.

• Support the development of pricing strategies to manage risk, improve competitiveness and drive growth.

• Evaluate new market opportunities and help optimise pricing models.

• Present findings and recommendations to senior stakeholders.

About You

• At least 2 years’ experience in a pricing-focused analytical role, ideally 3-4 years.

• Strong understanding of pricing principles and their commercial application.

• Confident using SQL to analyse data.

• Experience with Excel modelling; Python is desirable.

• Able to interpret complex data and translate findings into clear, actionable recommendations.

• Commercially minded, analytical and comfortable working collaboratively.

• A degree in any discipline.

Experience within financial services, lending, mortgages or another pricing-led industry would be advantageous.

What’s on Offer?

• Salary up to £60,000, with flexibility for exceptional candidates.

• Hybrid working, with one day per week in the office required.

• Exposure to varied pricing projects and commercial strategy.

• The opportunity to work alongside experienced technical specialists.

• A collaborative, non-hierarchical team environment with regular team socials.

Interested? Apply today to find out more about this opportunity.

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FULL STACK PRODUCT ENGINEER

up to £90,000
London (Hybrid)
This is a great opportunity to join a newly created R&D function within a global professional services organisation, where you can take ownership of AI-enabled product development and help shape the future of how knowledge-intensive professionals interact with data, documents and intelligent technologies.

THE COMPANY:

This organisation is a globally recognised professional services business operating across multiple international markets with thousands of employees worldwide. It is investing heavily in a brand-new R&D capability focused on developing data-driven and AI-enabled products that improve how professionals access information, make decisions and deliver services to clients.
You’ll join a small, highly collaborative team spanning Product Engineering, AI Engineering, Data Science and Data Engineering, working on innovative solutions from concept through to production deployment.

THE ROLE:

You will take ownership of frontend-led full stack product engineering, building intuitive user-facing applications and AI-powered workflows for business-critical use cases.
Key responsibilities include:

• Building modern applications using TypeScript, React and Next.js.
• Developing AI-assisted experiences including search, retrieval, document review and decision-support workflows.
• Creating reusable component libraries and scalable design systems.
• Developing APIs and integrations using Node.js, Python and cloud-native technologies.
• Owning deployment, monitoring, support and continuous improvement within Azure environments.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Full Stack Engineering experience within a product, SaaS or startup environment.
• Strong TypeScript expertise.
• Strong React experience, with Next.js experience
• Backend development experience with Node.js and/or Python.
• Experience building, shipping and supporting production applications used by real customers and end users.
• Experience developing AI-enabled features involving LLMs, retrieval, search or document-processing capabilities.
• Experience deploying and maintaining applications in Azure.
• Experience with Docker, Git, testing frameworks and CI/CD practices.
• Strong product mindset with the ability to translate business problems into intuitive user experiences.

THE BENEFITS:

You will receive a competitive salary up to £90,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Data Scientist

London | £60,000 – £80,000

This Senior Data Scientist role offers the chance to work on end-to-end credit risk modelling within a highly data-driven environment where analytics is central to commercial success.

THE COMPANY
This growing financial technology business uses advanced analytics, machine learning, and automated decisioning to deliver funding solutions at scale. Operating across multiple markets, they have built a strong reputation for innovation and continue to invest heavily in their data capabilities. Their Data Science team works closely with Risk, Engineering, and Product functions to drive business growth through data-led decision making.

THE ROLE
* Build and deploy credit risk models from scratch, including scorecards, probability of default models, and forecasting models.
* Apply machine learning techniques to improve underwriting and risk assessment processes.
* Analyse large and complex datasets to identify trends, opportunities, and risks.
* Develop predictive models to support business performance and customer outcomes.
* Collaborate with Product, Engineering, Credit Strategy, and Risk teams to deliver data-driven solutions.
* Create visualisations and communicate analytical findings to technical and non-technical stakeholders.
* Support model deployment, monitoring, and best practice model lifecycle management.
* Contribute to the ongoing development of the organisation’s data science capability.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience in Data Science within credit risk, lending, or financial services.
* Experience building predictive credit models from scratch.
* Hands-on machine learning experience in a commercial environment.
* Strong Python and SQL skills.
* Experience developing credit scorecards, risk models, or forecasting models.
* Ability to communicate technical concepts effectively to stakeholders.
* Experience working with consumer lending or SME lending portfolios would be beneficial.

WHAT THEY OFFER
* £60,000 – £80,000 base salary.
* Flexible hybrid working model.
* Competitive benefits package.
* Exposure to complex machine learning and credit risk challenges.
* Opportunity to work alongside experienced data science and risk professionals.
* Clear progression opportunities within a growing analytics function.

HOW TO APPLY
Please apply by sending your CV to Rachael through the link below.

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