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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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Senior Account Manager (x2)

CRM / Data-Led Marketing Agency
Bristol (Hybrid – 3 days in office)
£34,000 – £42,000

We’re partnering with a well-established CRM and data-led marketing agency with around 30 years’ experience delivering work for major UK consumer and financial services brands. Following a recent international acquisition, the agency is continuing to grow and is now hiring two Senior Account Managers to support key client accounts from its Bristol office.

Both roles sit within the same client services team, reporting into Senior Account Directors. The core responsibilities are consistent across both positions, with variation depending on the client portfolio.

The Role

As a Senior Account Manager, you’ll be a day-to-day client contact, working closely with Account Directors to deliver against briefs, manage stakeholders, and keep work moving at pace.

You’ll sit at the heart of delivery – coordinating teams across strategy, creative, and development – while also contributing strategic thinking and identifying opportunities to grow the account.

There are two openings:

Role 1 – Large Consumer Brand (New Account Win)

• Supporting a Senior Account Director on a recently won, high-profile account

• Strong delivery focus due to limited project management support

• Managing a broad range of client stakeholders

• Exposure to creative, development and strategic work (less campaign-heavy)

• Opportunity to grow with the account as it scales

Role 2 – Financial Services Brand

• Supporting an Account Director across a well-established FS account

• More strategy-led, with a strong focus on CRM execution across email and DM

• Acting as the consistent day-to-day presence for the client

• Working closely with internal execution teams to ensure high-quality delivery

Key Responsibilities

• Act as a main point of contact for clients on day-to-day activity

• Support Account Directors in delivering CRM and data-led programmes

• Manage briefs, timelines and internal stakeholders

• Contribute to CRM and customer strategy discussions

• Ensure work is delivered to a high standard and on time

• Build strong, trusted client relationships

• Identify opportunities to add value within existing accounts

About You

• Currently a Senior Account Manager, or a strong Account Manager ready to step up

• Experience in digital, CRM, or data-led marketing (pure CRM experience not essential)

• Exposure to working with large, well-known brands

• Comfortable in a fast-paced agency environment

• Organised, proactive and confident with clients

• Personable and collaborative – someone clients and teams enjoy working with

Location & Package

• Bristol (office is a 5-minute walk from Temple Meads)

• Hybrid working – 3 days per week in the office

• Salary range: £34,000 – £42,000

Interview Process

1. Culture-focused screening interview

2. Competency-based interview with senior leadership

3. Task presentation to panel

Find out more and apply via the link below

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Senior Credit Risk Consultant – (IFRS9)

Up to £55,000

Hybrid

London

The Company

I am hiring a Senior Credit Risk Consultant for one of the biggest UK consultancies focused on working with some of the biggest banks and fintechs in the lending market. In this role you will leading the IFRS9 wholesale and retail modelling across unsecured and secured lending using SQL and Python.

The Role

As a Senior Credit Risk Consultant, you will be:

• Developing credit risk application and behavioural scorecard models
• Using analytics skills to improve credit risk strategies
• Monitoring the performance or the scorecard and the portfolio performance.
• Working with and presenting to senior stakeholders daily within the role.
• Using SAS to develop credit risk models daily.

Your skills and experience:

To be successful as a Senior Credit Risk Consultant, you will need:

• Strong experience developing credit risk IFRS9, IRB, and/or Scorecards
• Experience as a credit risk using Python or SQL daily for IFRS9 development
• Experience working for a bank or in financial services
• Excellent communication skills

Benefits

Up to £55,000 + benefits package

To Apply for this Job Click Here

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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

To Apply for this Job Click Here

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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

To Apply for this Job Click Here

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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.

To Apply for this Job Click Here

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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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Senior Data Governance Analyst

Amsterdam, The Netherlands

Salary up to 80k

THE COMPANY

This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.

THE ROLE

In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.

Responsibilities:

• Develop and implement a robust data governance framework, including policies, standards, and procedures.
• Collaborate with stakeholders to define and document data quality standards and metrics.
• Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
• Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
• Oversee data stewardship programs, ensuring accountability for data quality and ownership.
• Collaborate with IT and business units to implement and monitor data governance initiatives.
• Stay current on industry trends, regulations, and emerging technologies related to data governance.

Qualifications:

• Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
• Proven experience in data governance, data management, or a related role.
• In-depth understanding of data governance principles, practices, and industry standards.
• Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
• Strong communication and interpersonal skills, with the ability to influence and drive change.
• Experience in implementing data governance tools and technologies is a plus.

Benefits:

• Fantastic benefits on offer

To Apply for this Job Click Here

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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

To Apply for this Job Click Here

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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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