Credit Risk Analyst, Salary: Up to £60,000 + bonus Location: London (hybrid) Industry: Financial Services / Insurance Type: Permanent I'm looking for a Credit Risk Analyst with a strong background in SQL and data visualisation,  We’re working with a leading financial services organisation looking to strengthen their credit risk analytics team. This role is perfect for someone who enjoys combining technical analysis with regulatory insight to drive smarter decisions. What you’ll be doing<ul><li>Developing, analysing and maintaining credit risk models and portfolio reporting.</li><li>Using SQL to extract and manipulate large datasets from multiple sources.</li><li>Building dashboards and visualisations (e.g. Power BI, Tableau, or similar) to present insights to senior management.</li><li>Supporting the business with risk appetite monitoring, capital adequacy, and credit exposure analysis.</li><li>Ensuring compliance with regulatory frameworks such as IFRS9, PRA, Basel, or Solvency II.</li><li>Collaborating with stakeholders across risk, finance, and data teams to enhance risk insight and governance.</li></ul>What we’re looking for<ul><li>Proven experience in Credit Risk Analysis, ideally within a bank or insurance environment.</li><li>Strong working knowledge of SQL (other coding languages such as Python or SAS a plus).</li><li>Experience creating data visualisations to communicate complex findings clearly.</li><li>Solid understanding of risk regulations and reporting requirements.</li><li>Analytical mindset with excellent problem-solving and communication skills.</li></ul>Please send me your CV to paul.culmer@xcede.com

Credit Risk Analyst

MLOps Engineer - Forecasting / Cloud Remote - UK (O/IR35), NL, BE, GER 3 - 6 Months initial contact Join an innovative technology company modernising its data science and AI capabilities. You’ll take ownership of how machine learning models are built, deployed, and scaled across distributed cloud environments — helping the business embed modern AI best practices and robust MLOps pipelines. The Role You’ll design, implement, and productionise forecasting models and ML-based algorithms that improve decision-making across the energy domain. This includes defining and setting up the end-to-end ML infrastructure, mentoring engineers, and shaping how the organisation approaches MLOps and AI enablement. What You’ll Do •    Build and maintain ML pipelines and CI/CD processes for model training, validation, and deployment. •    Lead the implementation of forecasting models and supervised learning approaches within scalable cloud environments. •    Work with engineering and product teams to embed ML capabilities into production systems. •    Optimise performance using tools such as AWS, Databricks, and containerisation frameworks. •    Define best practices for MLOps, monitoring, and version control. •    Provide technical guidance and education to teams adopting AI tooling. What You’ll Bring •    5+ years in software/ML engineering, ideally with production deployment experience. •    Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. •    Proven experience setting up ML pipelines, integrating with AWS / Databricks, and applying CI/CD principles. •    Solid understanding of time-series forecasting and supervised ML models. •    Knowledge of cloud infrastructure, IaC (Terraform / CloudFormation), and containerisation. •    Excellent collaboration and communication skills — confident discussing architecture with data scientists, engineers, and business leads. •    Experience in energy markets is a significant advantage (especially UK or European retail)

MLOps Engineer - Forecasting / Cloud

Senior Algorithm Engineer - Python / Distributed Systems / Energy Tech Remote - UK (O/IR35), NL, BE, GER 3 - 6 Months initial contact Join a pioneering technology scale-up driving the digital transformation of the energy industry. You’ll help design and evolve distributed software systems that process millions of data points across the UK energy market — turning complex datasets into intelligent, scalable software solutions. The Role You’ll be a key member of the Algorithms team, collaborating closely with clients, product managers, and domain experts to design and implement software solutions that underpin large-scale pricing, forecasting, and billing systems. This is a hands-on role blending software engineering with system architecture — ideal for someone who enjoys building robust, high-performance code and guiding technical direction. What You’ll Do <ul><li>Design, build and optimise Python-based algorithms and distributed components that power energy forecasting and pricing workflows.</li><li>Contribute to system architecture decisions — microservices, APIs, and distributed computing layers.</li><li>Collaborate directly with stakeholders to translate business and market logic into maintainable, scalable software.</li><li>Lead by example through clean, efficient coding, mentoring, and peer reviews.</li><li>Continuously evolve the distributed software stack, improving performance and reliability across platforms. </li></ul>What You’ll Bring <ul><li>Strong proficiency in Python, including modern data engineering libraries (Pandas, NumPy, Dask, Polars, PySpark).</li><li>Experience designing or maintaining distributed systems or microservice architectures.</li><li>Background as a software engineer or data engineer — experience in energy markets is a significant advantage (especially UK or European retail).</li><li>Strong communication and collaboration skills — you’ll work directly with internal teams and clients.</li><li>Knowledge of SaaS or product environments, and an appetite to work in a rapidly evolving energy tech space. </li></ul>

Algorithm Engineer

Technology Architect - Marketing Technology (MarTech) 6 -12 months + Remote We’re looking for a Technology Architect to design and orchestrate the front-office technology stack for a global multi-brand organisation. This encompasses Platforms / Digital / Marketing / CX. You’ll shape the systems that connect product data, content, digital assets, and customer insights — creating scalable, efficient, and intelligent experiences across every channel. What You’ll Do<ul><li>Design and deliver end-to-end MarTech architectures across multiple brands and regions.</li><li>Connect and optimise DAM, PIM, CMS, and Experience Platforms for large-scale content operations.</li><li>Define governance models, metadata frameworks, and multi-brand content workflows.</li><li>Lead integration design — API strategy, data synchronisation, and orchestration between systems.</li><li>Support platform selection, vendor evaluation, proofs of concept, and implementation roadmaps.</li><li>Partner with marketing, IT, and creative teams to align technology capabilities with brand goals.</li></ul>Tech Landscape You don’t need to know every tool, but deep experience across several of these areas is key:<ul><li>DAM: Sitecore Content Hub, AEM Assets, or similar</li><li>PIM: Stibo STEP, inRiver, Salsify</li><li>CMS / Experience Platforms: Sitecore XP/XM, Contentful, Adobe Experience Manager, headless CMS</li><li>Commerce: Commercetools, Salesforce Commerce Cloud, Shopify Plus</li><li>Front-End: React, Next.js, Vue</li><li>CDP & Analytics: Adobe Experience Platform (AEP), Segment, GA360, Adobe Analytics, Snowflake</li><li>Integration Architecture: APIs, microservices, composable stacks</li><li>Creative Automation & Localisation: Bynder, Celtra, Smartly.io, generative AI content workflows</li><li>3D & Visualisation: GRIP, Threekit, AR/VR integration</li></ul>You’ll Succeed If You<ul><li>Have 10+ years’ experience designing or integrating large and complex enterprise-scale MarTech ecosystems.</li><li>Can translate marketing goals into scalable technical architectures.</li><li>Thrive in ambiguous and complicated, multi-brand environments.</li><li>Understand the balance between creative flexibility and operational efficiency.</li></ul>

Technology Architect - Marketing / Platforms / Digital / CX

​Sergio joined as a Consultant sitting within our UK Contract team in 2021. He specialising in data roles recruitng for; Data analysts, Data Engineers, data scientists, insights and reporting consultants. He has since been promoted to Senior Consultant. 

Sergio Osman

Senior Consultant

Senior Technical Data Solution Designer Hybrid 6 Months + Extensions Inside IR35  Start: ASAP We’re looking for a senior hands-on data professional to lead the technical design and delivery of end-to-end data solutions within a high-impact data product squad. This isn’t a management role — it’s for someone who wants to stay close to the code while driving technical quality and design decisions. The below is a shortened version of the Full JD. What you’ll do <ul><li>Translate business requirements into scalable, well-structured data models and dashboards. </li><li>Build and maintain Business Layers and data transformations using dbt, SQL, and BigQuery (GCP). </li><li>Develop and refine Tableau dashboards with strong UX and storytelling focus. </li><li>Own data documentation, lineage, and governance using Atlan. </li><li>Review and mentor on coding standards, testing, and best practice. </li><li>Collaborate with Product, BI, and Data Architecture teams in an Agile setup (Jira). </li></ul>Tech environment dbt | SQL | BigQuery (GCP) | Tableau | Atlan | Git | Jira Ideal profile <ul><li>Expert in SQL and dbt with solid data modelling and warehousing experience. </li><li>Proven experience delivering production-grade dashboards in Tableau. </li><li>Strong understanding of data governance and data mesh principles. </li><li>Confident leading by example and mentoring others in an Agile delivery team</li></ul> You will be somoene that is building, designing, and owning data solutions end-to-end.

Senior Technical Data Solution Designer

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Sergio Osman

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