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LEAD MODEL VALIDATION ANALYST

£80,000

LONDON

THE COMPANY

This company is an exciting and profitable FinTech. They have an excellent culture and pride themselves on using data and analytics to enhance their lending ability.

THE ROLE

• Leading the end-to-end validation, analysis and reviews of models across the business
• Working with models including scorecards and IFRS9
• Driving the creation and review of validation reports, while collaborating closely with model developers and owners to ensure findings are clearly understood

YOUR SKILLS AND EXPERIENCE

• Essential to have validated models in the consumer lending space
• Coding experience in Python is essential
• Prior experience working with AI techniques is highly desirable
• Experience working within a FinTech is highly desirable

SALARY AND BENEFITS

• Up to £80,000 base salary
• Company bonus scheme
• Pension contribution scheme
• Private medical care
• Wider benefits package

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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LEAD CRM ARCHITECT (HUBSPOT)

HYBRID – LONDON – 2 DAYS A WEEK IN THE OFFICE

SALARY – £90,000-£130,000

THE COMPANY

A leading B2B blockchain analytics organisation is scaling, particularly across sales and marketing. To support the next stage of scale, the business is building out a dedicated GTM Engineering function – this hire is a critical part of that build!

THE ROLE

As a HubSpot Architect, you can expect to be involved in the following:

• This is an individual contributor role that acts as the technical bridge between the operational and commercial teams.
• You’ll be the organisation’s CRM authority, owning technical and process readiness across their GTM stack, with HubSpot sitting at its core.
• You’ll take ownership of key initiatives including improving lead flows, supporting new sales process launches, and driving better integration between HubSpot and the rest of their tooling.
• Collaboration with RevOps, engineering, and commercial stakeholders will be central as you help build a scalable, efficient GTM engine capable of supporting a rapidly expanding sales organisation.
• Growth in this role comes not from people management but from increased technical scope, scale, and architectural influence.

YOUR SKILLS AND EXPERIENCE

• Hands-on expertise in HubSpot, including complex configuration, automation, and optimisation
• A background that blends marketing exposure with technical GTM/CRM ownership is great
• Experience using low-code automation tools and knowing when to partner with engineering for more advanced work
• Strong understanding of the B2B SaaS customer lifecycle and how technical architecture influences the wider funnel
• Experience in environments where you’ve built or rebuilt GTM tooling and processes multiple times
• Comfortable getting the absolute maximum value from a tech stack, including AI-assisted workflows and interaction with internal applications
• Interest in crypto or blockchain is a strong plus
• Able to work in a fast-scaling business

BENEFITS

• Salary up to £130,000
• Opportunity to build a GTM engine from the ground up in a high-growth, technically progressive organisation
• Hybrid working

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AWS CLOUD ENGINEER

Remote (UK) – £75,000 – £80,000 – No Sponsorship Available

Company

Our client is a fast-growing technology company at the forefront of generative AI innovation. They are transforming how businesses and individuals create and interact with digital content responsibly, and are looking for top talent to join their forward-thinking team.

Responsibilities

We are looking for an AWS Cloud Engineer to help design, implement, and maintain cloud infrastructure that powers cutting-edge AI applications. Key responsibilities include:

• Build and manage scalable AWS infrastructure for AI workloads
• Develop CI/CD pipelines with GitHub Actions and maintain clean version control
• Implement infrastructure as code using AWS CDK (Python/TypeScript) and Terraform
• Write maintainable automation and tooling code in Python and TypeScript
• Configure AWS services for compute, storage, networking, and AI/ML workloads
• Collaborate with development and data teams to deliver practical infrastructure solutions
• Automate deployment, monitoring, and management processes
• Troubleshoot issues and ensure cloud environments are secure and reliable

Requirements

• Proven experience as a Cloud Engineer or similar AWS-focused role
• Strong Python and TypeScript programming skills
• Experience with GitHub Actions for CI/CD
• Expertise in infrastructure as code using AWS CDK and Terraform
• Knowledge of cloud networking, security, and monitoring
• Familiarity with Docker/Kubernetes and automation scripting
• Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively

Highly desirable

• AWS certifications (e.g., DevOps Engineer, Solutions Architect)
• Experience with AWS generative AI services (Bedrock, SageMaker)
• Open-source contributions demonstrating engineering best practices

Benefits

• Work on cutting-edge generative AI projects
• Join a talented, innovative team
• Competitive salary and benefits package
• Opportunities for professional growth and skill development
• Make a real impact in a fast-growing, dynamic business

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Senior Data Scientist

London – (3 days a week in office)

Up to £100,000

About the Role

Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.

As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.

Key Responsibilities

• Understanding business challenges and translating them into value-linked data science solutions.
• Working closely with data engineers to define data requirements and pipelines.
• Performing exploratory data analysis and recreating key business KPIs.
• Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
• Developing, deploying and maintaining machine learning models.
• Evaluating project impact through experimentation and A/B testing.

Your work will focus on delivering high-value insights and solutions, including:

• Building optimisation models to improve efficiency and throughput.
• Developing predictive models to reduce risk and prevent downtime.
• Designing churn prediction strategies to improve customer retention.
• Identifying next-best actions to support sales and commercial teams.
• Applying geospatial modelling to optimise footprint and location strategy.

What We’re Looking For

• At least 2+ years’ experience applying data science to deliver commercial impact.
• A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
• Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
• A collaborative mindset with excellent communication skills.
• Experience working in cross-functional teams delivering production-ready solutions.

If this role looks of interest, apply below.

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HEAD OF CREDIT RISK – MORTGAGES

UP TO £120,000 + EQUITY

LONDON

A rapidly growing UK fintech delivering ethical, shariah-compliant home finance solutions as an alternative to traditional mortgages. The company’s core offering enables customers to purchase and refinance residential property without interest through a co-ownership Home Purchase Plan certified under Islamic finance principles, combining modern technology with accessible underwriting. It is FCA-regulated and focused on making home ownership fairer, more inclusive, and aligned with diverse customer values.

THE ROLE

You can expect to be involved in the following day to day:

• Lead and continuously evolve the credit risk strategy, ensuring a clearly defined risk appetite aligned with sustainable growth objectives
• Own credit risk oversight across core residential and investment property lending portfolios
• Provide senior credit risk leadership on the design and launch of new lending products, including short-term and commercial real estate finance
• Balance commercial growth ambitions with robust risk governance, controls, and decision-making frameworks
• Act as a key senior stakeholder within a fast-growing, purpose-driven financial services organisation

SKILLS AND EXPERIENCE

• Mortgages/Property Finance experience in credit risk analytics is a must
• Senior Manager+ level of experience
• Strong numerical degree

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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Data Engineer

London – Hybrid (3 days) – £50,000 – £60,000

Company

Our client is a London-based company specialising in advertising and audience measurement. They provide independent, high-quality audience metrics and insights from advertising campaigns, leveraging multi-year datasets including telco and movement data. Working with major industry partners, the organisation focuses on delivering accurate, actionable insights for the out-of-home advertising sector, supported by a small, close-knit team.

Responsibilities

As a Data Engineer, you will be a key contributor to building and maintaining the company’s data infrastructure. Responsibilities include:

• Build, manage, and maintain data pipelines across GCP and on-prem Proxmox environments
• Ingest and manage new datasets, including ongoing feeds from Ipsos
• Ensure reliable, GDPR-compliant delivery of data to analysts and researchers
• Load and manage data in PostgreSQL and BigQuery
• Develop and support API-based data ingestion pipelines
• Manage and optimise cloud and on-prem infrastructure for reliability and efficiency
• Perform Linux and networking tasks related to on-prem systems
• Support ad-hoc and exploratory data projects as required

Requirements

• 2+ years commercial experience in data engineering or related roles
• Hands-on experience with GCP and Terraform
• Strong Python and SQL skills
• Working knowledge of Linux environments and basic networking
• Interest in data engineering, infrastructure, and understanding data flow
• Comfortable working in a small, collaborative team and taking initiative

Nice-to-have

• Exposure to data science concepts
• Curiosity about how data is used across a business
• Experience with Proxmox or similar virtualization environments

Benefits

• Competitive salary: £50-60K
• Work from the London office (3 days/week) with flexibility for remote working
• Opportunity to work in a small, highly collaborative team with direct impact
• Exposure to cloud and on-prem infrastructure, building end-to-end data pipelines
• Professional development and opportunities to grow within the company

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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Data Scientist

Up to £110,000

London (Hybrid, 4 days onsite per week)

About the role:

Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.

Key Responsibilities:

• Collaborate with the deal team to pinpoint where data science can add value to the investment process.
• Create data tools and dashboards to support investment decisions and portfolio monitoring.
• Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
• Work with the VP of Data and the investment team to improve data solutions.
• Proactively investigate new data science methodologies and technologies to benefit team objectives.

What We’re Looking For:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment

**Please note that this role does not offer visa sponsorship**

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MARKETING DATA ANALYST

UP TO £50,000

LONDON – HYBRID (2X PER WEEK IN OFFICE)

*Please note, you must be a UK resident and hold full right to work*

ABOUT THE BUSINESS

This is a brand and social impact agency with over 20 years’ experience helping organisations connect meaningfully with young people. A core part of the business focuses on deep engagement with the UK and Ireland education systems, working in partnership with schools and delivering education-led campaigns at scale.

THE ROLE

This is a varied, fast-paced, agency-style Data Analyst role combining hands-on analysis, forecasting, CRM insight, and increasing client-facing engagement over time.

KEY RESPONSIBILITIES

Analysis & Insight

• Act as a triage point for incoming data questions and analysis requests.
• Analyse client-provided datasets in multiple formats, often working with complex Excel files.
• Translate data into clear, insight-led narratives for internal and external stakeholders.

Forecasting & Modelling

• Support campaign forecasting and modelling, including predicting school registrations.
• Advise on channels, timelines, and expected outcomes based on data-led assumptions.
• Contribute to the development of longer-term forecasting capability.

Data Quality & Methodology

• Ensure consistently high standards of data quality, accuracy, and validation.
• Confidently explain methodology and analytical approach for high-impact work.
• Take ownership of outputs that influence campaign delivery and business planning.

Systems & Reporting

• Work with a relational database supporting an education-focused partnership product.
• Use SQL-driven analysis to feed Power BI dashboards and reporting.
• Select appropriate tools and techniques depending on data structure and campaign needs.

SKILLS & EXPERIENCE REQUIRED

• Advanced Excel skills (VLOOKUP/XLOOKUP, conditional formatting, charts, visualisation).
• SQL experience (joins, selects, data manipulation).
• Comfortable working with relational databases.
• Power BI for reporting and data visualisation.
• Python or R (interest is sufficient; not essential).
• Exposure to forecasting beyond basic historical analysis.

WHY APPLY?

• Join a purpose-led agency where data directly influences real-world outcomes.
• Take ownership in a business-critical role with visibility and impact.
• Work across analysis, forecasting, CRM insight, and client-facing projects.
• Be part of a growing data function with clear long-term progression and salary growth.

To Apply for this Job Click Here

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CREDIT RISK MODEL MANAGER

£70,000

LONDON

This role is an exciting opportunity to join a well-known consultancy in a time of growth. This position offers the chance to work on a broad range of projects and use Python as this is rolled out across the business.

THE COMPANY

This client is an established consultancy who specialise in analytics, with this role focusing specifically on credit risk model monitoring and audit. You could work with a range of businesses across the UK including banks and FinTechs. This is a really exciting time for the business as they implement Python and AI, offering the chance to get involved in this when not on project work.

THE ROLE

Your work will vary significantly based on projects, however you can expect to:

• Analyse and monitor a range of models including IFRS9, IRB, Stress Testing and wider credit risk models
• Work on model validations, audits, oversight and wider implementation
• Use Python for client work as the business roll this out across teams
• Work on climate risk analysis and wider monitoring

YOUR SKILLS AND EXPERIENCE

• Prior experience with Scorecards,IFRS9 or IRB models in either a development or validation role
• Strong knowledge and experience using Python
• Excellent communication skills and experience working closely with stakeholders
• Educated to at least degree level in a numerate degree

SALARY AND BENEFITS

• Up to £70,000 base salary
• Discretionary bonus
• Private health insurance
• Pension contribution scheme
• Cycle to work scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

To Apply for this Job Click Here

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SENIOR DATA GOVERNANCE ANALYST

LONDON – 3 DAYS (HYBRID) – £60,000

Company

A leading global professional services firm is expanding its Data Governance function and investing in its data management capabilities. Operating across multiple regions and business lines, the firm relies on trusted, high-quality data to support operational decisions and leadership insights. You’ll be joining a central data team with strong senior sponsorship and a clear mandate to improve data governance across the organisation.

Responsibilities

As a Data Governance Analyst, you will take a hands-on role in maintaining and enhancing the firm’s data governance capabilities. Key responsibilities include:

• Liaising with Data Stewards to understand their data requirements and chairing Data Stewardship Council meetings
• Leading metadata import and curation within the firm’s Data Management Technology (DMT)
• Designing and building data catalogue content, metadata models, and workflows
• Developing and maintaining business process and lineage areas within the DMT
• Analysing business processes to identify improvements in data management and analytics
• Supporting the Data Governance Framework through user stories, use cases, and functional requirements while tracking the issues backlog
• Conducting gap analysis to identify limitations in existing data management systems
• Participating in user acceptance testing to ensure DMT meets business needs
• Creating comprehensive documentation including data definitions, source information, transformation rules, and usage guidelines
• Ensuring Data Governance key assets (Business Glossary, Data Dictionary, Reference Data List, Lineage, and Business Process Maps) are up to date and used effectively
• Delivering DMT and Data Steward training and keeping materials current
• Supporting a central reference list repository and adopting external or industry data standards
• Defining and managing data domains to ensure consistency, integrity, and alignment with business objectives
• Implementing and monitoring data quality standards
• Contributing to firm-wide data strategy initiatives that empower Data Stewards and improve governance practices

Requirements

• Bachelor’s or Master’s degree
• Experience in a similar role such as Business Analysis or Data Analysis
• Strong analytical and problem-solving skills
• Knowledge of data management, data governance, and analytics best practices
• Excellent communication and interpersonal skills with the ability to bridge business and technology
• Proactive self-starter capable of working independently and as part of a team in a fast-paced environment
• Strong attention to detail and ability to manage multiple priorities
• Experience producing business documentation, including user stories, use cases, and functional requirements
• Familiarity with Agile and Waterfall project management methodologies
• Knowledge of metadata management concepts, modelling, tools, and standards is beneficial

Benefits

• Opportunity to work within a globally recognised organisation with strong investment in data
• High visibility role with exposure to senior stakeholders
• Clear pathway to build a long-term career in Data Governance
• Collaborative, intellectually rigorous working environment
• Competitive salary and benefits package
• Flexible working arrangements

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