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Director of Data

London/Hybrid

Up to £165,000

Overview

This is an opportunity to shape the future of data, analytics and AI within a highly influential global organisation. As Director of Data, you will play a pivotal role in driving strategic decision-making, advancing data maturity and unlocking value through analytics, governance and emerging AI capabilities.

The Company

They are a global organisation operating within a complex, data-rich environment, supporting critical commercial and operational decision-making across international markets. With a collaborative and highly matrixed structure, the business works with a broad range of stakeholders to deliver strategic outcomes and drive continuous improvement. Data is a key focus area, and they are investing in analytics, governance and AI to accelerate business performance and innovation.

The Role

As Director of Data, you will lead the organisation’s enterprise data and analytics agenda, ensuring data becomes a strategic asset across the business.

Key responsibilities include:

• Defining and delivering the enterprise data strategy aligned to business objectives.
• Establishing a roadmap for analytics, data management and AI maturity.
• Leading data governance initiatives to improve data quality, ownership and accountability.
• Creating consistent reporting frameworks and supporting data-driven decision-making.
• Driving adoption of analytics and business intelligence across the organisation.
• Translating complex data into actionable insights for senior leadership and executive stakeholders.
• Identifying opportunities to leverage AI and machine learning to improve efficiency and deliver commercial value.
• Leading advanced analytics and data science initiatives where appropriate.
• Managing and developing multiple teams across analytics, data and strategic insights functions.
• Building strong relationships across a complex stakeholder landscape and influencing at executive level.

Your Skills & Experience

• Strong leadership experience within Data & Analytics, Data & Insights, Business Intelligence or related functions.
• Proven experience operating within large, complex or matrixed organisations.
• Strong commercial experience in analytics, business intelligence and strategic insights.
• Experience leading advanced analytics, data science or AI-focused teams.
• Expertise in developing and implementing data strategies and governance frameworks.
• Ability to influence senior stakeholders and drive organisational change.
• Strong communication skills with the ability to translate technical concepts into business value.
• Experience building high-performing teams and fostering a data-driven culture.

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Dirctor of Data

Berkshire/Hybrid

Up to £140,000

Overview

This is a rare opportunity for an experienced data and analytics leader to shape a newly established Data function within a growing organisation. You’ll have the chance to influence strategy, drive business-wide adoption of data, and build a centre of excellence that delivers measurable commercial impact.

The Company

Our client is a well-established organisation undergoing a significant transformation in how it uses data to support decision-making and business growth. They are investing heavily in modern data capabilities, with a strong technology foundation already in place and ambitious plans for the future. Operating within a highly regulated environment, they place a strong emphasis on innovation, customer outcomes, and continuous improvement.

The Role

As the Director of Data, you will lead the development of a centralised Data Centre of Excellence, helping the organisation become more data-driven and insight-led.

Key responsibilities include:

• Driving a data-first culture across the business and increasing the use of analytics in decision-making.
• Developing and delivering a roadmap for reporting, analytics, and business intelligence.
• Building and scaling self-service analytics capabilities that empower business users.
• Leading and developing an existing team of analytics, insight, and data science professionals.
• Providing senior leadership on data strategy, governance, and insight delivery.
• Partnering closely with technology and data engineering teams to ensure the right platforms and capabilities are in place.
• Delivering trusted reporting and actionable insights that improve business performance.
• Identifying opportunities for growth, optimisation, and commercial value through analytics.
• Supporting strategic transformation programmes, including the development of advanced pricing and intelligence capabilities.
• Remaining hands-on where required, providing technical guidance and leadership across delivery initiatives.

Your Skills & Experience

• Experience leading analytics, business intelligence, or data insight functions.
• Proven ability to build high-performing teams and develop data capabilities.
• Strong track record of driving business-wide adoption of data and analytics.
• Experience implementing self-service reporting and analytics solutions.
• Strong stakeholder management skills with the ability to influence senior leaders.
• Commercially focused with the ability to translate data into business value.
• Strong SQL skills and the ability to engage confidently with technical teams.
• Experience working with modern cloud-based data environments, ideally Azure.
• Comfortable operating within evolving environments and helping define future strategy.
• Experience across analytics, reporting, business intelligence, and insight delivery.

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SENIOR DIRECTOR, DATA & ANALYTICS
LONDON/HYBRID
UP TO £165,000

This is a high-impact leadership opportunity to define and deliver a data, analytics and AI strategy within a complex, global environment. You will play a central role in shaping how data is used to drive commercial decision making, operational performance and digital transformation, with full ownership of a scaling function.

ROLES AND RESPONSIBILITIES:
The Senior Director of Data & Analytics will:

• Define and execute the enterprise data, analytics and AI strategy, aligned to business priorities
• Lead a multi-disciplinary team across analytics, data science and data engineering
• Drive adoption of analytics and embed data-led decision making across senior stakeholders
• Establish data governance frameworks to improve quality, ownership and consistency
• Identify and deliver high-value AI and machine learning use cases
• Oversee the development of scalable data platforms and modern architecture
• Partner cross-functionally within a complex matrix environment to deliver strategic initiatives
• Translate data into actionable insight to support commercial and operational outcomes

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong leadership experience across data, analytics and AI functions
• Proven ability to operate effectively within complex, matrix organisations
• Experience leading multiple teams across analytics, business intelligence and data science
• Strong commercial mindset with the ability to influence senior stakeholders
• Demonstrated delivery of data-driven transformation and organisational change
• Experience building data governance frameworks and improving data quality
• Deep understanding of AI, machine learning and advanced analytics applications
• Strong stakeholder engagement and communication skills

APPLY BELOW!

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Director of Data
London, Hybrid
Salary up to £160,000

This is a high-impact leadership opportunity to shape and deliver a data and AI strategy within a globally connected, commercially focused organisation. You will play a pivotal role in driving digital transformation, embedding advanced analytics, and unlocking value through scalable AI solutions. This role offers the chance to influence senior stakeholders, lead multidisciplinary teams, and position data as a core driver of business performance.

The Company
They are a well-established organisation operating within a complex, global environment, focused on delivering strategic services that improve efficiency, quality, and outcomes across their sector. With strong backing from major industry players, they combine deep domain expertise with a commitment to innovation and continuous improvement. Their London-based team plays a central role in shaping international strategy and driving data-led decision making. The organisation prioritises collaboration, responsible innovation, and long-term value creation.

The Role

• Define and execute the organisation’s AI, data, and analytics strategy aligned to business objectives
• Lead the development and deployment of AI and machine learning solutions that drive efficiency and growth
• Oversee data engineering, architecture, and platform development to ensure scalable, secure data infrastructure
• Deliver actionable insights through advanced analytics, business intelligence, and reporting solutions
• Champion data governance, ensuring data quality, compliance, and ethical use of AI
• Partner with senior stakeholders across commercial, product, and technology functions
• Lead and develop a multidisciplinary team across data science, analytics, and engineering
• Drive adoption of data-led decision making and promote data literacy across the organisation

Your Skills and Experience

• Strong commercial experience leading data, analytics, and AI functions within complex organisations
• Proven ability to define and deliver enterprise-level data and AI strategies
• Expertise across AI, machine learning, data engineering, and analytics
• Experience building and scaling data platforms and governance frameworks
• Ability to influence senior stakeholders and align cross-functional teams
• Strong leadership capability with experience developing high-performing teams
• Demonstrated success in delivering measurable business impact through data initiatives
• Experience working in regulated or data-sensitive environments is beneficial

How to Apply
If you are interested in this Senior Director, AI, Data and Analytics role in London, please submit your CV to find out more.

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HEAD OF DATA
BERKSHIRE/HYBRID
UP TO £140,000

This is a rare opportunity to step into a senior leadership role where you will shape and scale a data function from strong foundations. With direct exposure to executive leadership and the ability to influence organisation-wide decision making, this role offers significant scope to define strategy, build capability, and drive measurable commercial impact through data.

ROLES AND RESPONSIBILITIES:
The Head of Data will:

• Define and deliver the enterprise Data strategy aligned to commercial objectives and growth ambitions
• Act as a key advisor to senior stakeholders, influencing how data is leveraged as a competitive advantage
• Build, lead, and develop a multi-disciplinary team across analytics, data science, and business intelligence
• Drive the evolution from reporting towards predictive and commercially focused insight
• Establish and scale self-service analytics capabilities across the business
• Lead the application of advanced analytics, machine learning, and AI to key business areas such as pricing and performance optimisation
• Partner closely with technology teams to ensure scalable, reliable data platforms and strong data architecture
• Own and embed data governance frameworks, improving data quality, consistency, and trust across the organisation
• Translate complex analytical outputs into clear, actionable recommendations for senior stakeholders

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong experience leading data, analytics, or data science functions in a commercial environment
• Proven ability to build and scale high-performing, multidisciplinary teams
• Expertise across data analytics, machine learning, and business intelligence, with a strong technical foundation including SQL and cloud platforms
• Experience delivering data-driven transformation, including self-service analytics and advanced insight capabilities
• Strong commercial acumen, with the ability to translate data strategy into measurable business outcomes
• Confident stakeholder management skills, with experience influencing senior leadership and cross-functional teams
• Experience working within data governance frameworks and regulated environments is advantageous
• Comfortable balancing strategic leadership with hands-on involvement where required

APPLY BELOW!

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Principal Data Architect

Location: Dallas, TX (Hybrid – 4 Days Onsite Weekly)
Compensation: $170,000 Base Salary (flexibility for exceptional candidates) + Comprehensive Benefits
Work Authorization: Candidates must be authorized to work in the U.S. now and in the future. No sponsorship or visa transfers available.

About the Opportunity

Our client, a large enterprise organization undergoing a major data modernization and AI transformation, is seeking a Principal Data Architect to help shape the future of its enterprise data ecosystem.

This is a high-impact, highly visible role offering direct exposure to executive leadership and the opportunity to influence enterprise-wide technology strategy. The successful candidate will be responsible for defining architectural roadmaps, modernizing legacy platforms, enabling AI capabilities, and guiding the organization’s journey from current-state to future-state architecture.

This opportunity is ideal for someone who combines strong architectural leadership with a hands-on data engineering background and thrives in a transformation-focused environment.

Key Responsibilities

• Assess and document current-state data architecture, platforms, and integrations
• Design future-state enterprise data architecture and transformation roadmaps
• Develop architectural standards and reusable patterns for:
  • Real-time data processing
  • Streaming architectures
  • Batch data processing
  • Enterprise and consumer data platforms
• Create and maintain architecture diagrams, data flows, and implementation plans
• Partner with business and technology leaders to align architecture decisions with strategic objectives
• Support enterprise initiatives across fraud, risk, analytics, AI, and other critical business functions
• Define phased implementation strategies, including resource planning and execution sequencing
• Evaluate emerging technologies and recommend solutions based on business use cases
• Provide technical leadership and architectural guidance to engineering teams
• Participate in architecture reviews, proof of concepts, and technical solution validation

Required Qualifications

• 10+ years of experience in Data Engineering, Software Engineering, Data Architecture, or related disciplines
• Experience designing and implementing enterprise-scale data platforms and architectures
• Strong background creating technology roadmaps and leading transformation initiatives
• Ability to connect technical decisions to measurable business outcomes
• Experience operating within large, complex organizations (1,000+ employees preferred)
• Proven ability to work independently and drive initiatives with minimal oversight

Technical Requirements

Required Experience

• AWS Cloud
• Kafka (Confluent or Open-Source Kafka)
• Event-driven and streaming architectures
• Real-time data processing
• Batch processing frameworks
• Enterprise integration patterns
• Data architecture and platform modernization

Preferred Experience

• Snowflake
• Fivetran
• dbt
• AI/GenAI architecture and implementation

AI & Innovation Focus

As part of the organization’s technology strategy, AI will play a significant role in future-state architecture.

The ideal candidate will have exposure to:

• Retrieval-Augmented Generation (RAG)
• Large Language Model (LLM) concepts
• AI platform architecture
• Token management and optimization strategies
• AI tooling evaluation and implementation
• Use-case driven AI adoption

We’re looking for someone who is naturally curious, stays current on emerging technologies, and can articulate how modern AI capabilities create business value.

Preferred Industry Experience

Experience within one or more of the following industries is highly desirable:

• Financial Services
• Banking
• Healthcare
• Travel
• Hospitality

Why This Role?

• Direct visibility with senior and executive leadership
• Opportunity to influence enterprise technology strategy
• Lead large-scale modernization and transformation initiatives
• Help shape the organization’s AI roadmap
• Work with modern cloud, streaming, and data technologies
• Drive meaningful business outcomes and measurable change

This is an opportunity to build something transformational-not simply maintain existing systems.

Interview Process

1. Initial Interview (45 minutes)
2. Onsite Team Panel Interview
3. Final Executive Interview

If you’re interested in learning more about this confidential opportunity, please apply directly or contact me for a private discussion.

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Data Engineer – Fivetran Expert

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in Fivetran to join our growing data and analytics team. This individual will play a key role in designing, implementing, and optimizing scalable data integration solutions that power business intelligence, analytics, and data-driven decision-making across the organization.

The ideal candidate will have extensive experience leveraging Fivetran to build and manage automated ELT pipelines, integrate data from multiple source systems, and support enterprise-scale cloud data platforms. Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data integration pipelines using Fivetran and modern cloud-based data technologies.
• Configure, manage, and optimize Fivetran connectors for a wide variety of source systems, including SaaS platforms, databases, APIs, and enterprise applications.
• Monitor pipeline health, troubleshoot synchronization issues, and ensure reliable data delivery across the organization.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Develop and maintain enterprise data warehouse solutions within Snowflake and other cloud data platforms.
• Implement data quality, governance, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
• Optimize data ingestion performance, pipeline efficiency, and overall platform cost management.
• Create and maintain technical documentation for data integrations, architecture, workflows, and best practices.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting, analytics, and machine learning initiatives.
• Troubleshoot and resolve data issues, connector failures, schema changes, and performance bottlenecks.
• Participate in architecture discussions and contribute to the organization’s overall data strategy and modernization efforts.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Integration, Data Warehousing, or related roles.
• Expert-level experience with Fivetran, including connector configuration, deployment, monitoring, optimization, and troubleshooting.
• Strong experience with Snowflake or similar cloud data warehouse platforms.
• Advanced SQL development and query optimization skills.
• Hands-on experience designing and managing scalable ELT pipelines and modern data architectures.
• Experience integrating data from multiple source systems, including SaaS applications, relational databases, APIs, and cloud platforms.
• Strong understanding of data modeling principles, data warehousing concepts, and analytics-ready data structures.
• Experience implementing data validation, monitoring, and governance frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with transformation frameworks such as dbt.
• Experience with orchestration and workflow tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines, DataOps practices, and modern data stack architectures.
• Experience working in Agile development environments.

Key Skills

• Fivetran
• Data Integration & Automation
• ELT Pipeline Development
• Snowflake
• SQL
• Cloud Data Warehousing
• Data Modeling
• SaaS & API Integrations
• AWS, Azure, and GCP
• Data Quality & Governance
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate

A hands-on Data Engineer with deep Fivetran expertise who thrives in a collaborative environment and enjoys building scalable, reliable, and automated data integration solutions. This professional excels at connecting disparate data sources, ensuring high-quality data delivery, and enabling analytics teams with trusted data. Experience supporting Snowflake environments and modern data stack technologies is highly desirable, while financial services experience is a strong plus.

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Data Engineer – dbt & Snowflake Expert

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.

Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
• Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
• Develop and maintain enterprise data warehouse solutions within Snowflake.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
• Create and maintain technical documentation for data architecture, models, and workflows.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
• Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
• Participate in architecture discussions and contribute to the overall data strategy.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Expert-level experience with dbt and Snowflake.
• Strong SQL development and query optimization skills.
• Experience designing and building scalable ETL/ELT pipelines.
• Hands-on experience with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data modeling principles, including dimensional and star schema design.
• Experience implementing data validation, testing, and monitoring frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines and DataOps best practices.
• Experience working in Agile development environments.

Key Skills

• Snowflake
• dbt (Data Build Tool)
• SQL
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP)
• Data Governance & Quality
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.

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Senior Credit Pricing Manager
Liverpool
£75,000 to £89,000

This is a high impact leadership role for a senior credit pricing professional who wants to shape how pricing is done at scale. You will step into a newly formed commercial analytics function with the remit to modernise credit pricing, influence senior decision making, and build a clear link between customer outcomes, risk and long term profitability.

The Company
They are a large scale UK consumer business operating at the intersection of digital commerce and regulated financial services. With millions of active customers and a strong focus on flexible payment and credit products, data sits at the heart of how they acquire, retain and support customers. Following recent investment and strong financial performance, they are continuing to invest heavily in analytics, pricing and decision science.

The Role
You will take ownership of credit pricing strategy across customer acquisition and lifecycle pricing, with responsibility for both commercial performance and fair value outcomes. Key responsibilities include:

• Defining and delivering pricing strategies across credit products, balancing growth, risk and customer value
• Owning pricing and fair value governance and representing pricing in senior forums and committees
• Setting and managing valuation frameworks including NPV, IRR and risk adjusted margins
• Using data, forecasting and experimentation to optimise pricing performance
• Translating complex analysis into clear recommendations for senior stakeholders
• Leading and developing a team of analysts and data scientists within a growing commercial analytics function
• Partnering with product, risk, analytics and engineering teams to improve data quality and pricing capability

Your Skills and Experience

• Strong commercial experience within credit, lending or wider financial services pricing
• Deep understanding of unit economics and lifetime value decision making
• Experience designing and interpreting pricing tests and experimentation such as A B testing
• Ability to build and challenge pricing and cashflow models, even if not hands on day to day
• Confident stakeholder management skills with the ability to influence at senior level
• Proven people leadership experience and a first principles approach to problem solving
• Backgrounds from credit, lending, debt, finance or analytically mature retail environments are all of interest

What They Offer

• Company bonus scheme
• Private medical
• 30 days holiday plus bank holidays
• Pension scheme

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Senior Data Scientist

London – 2x a week

The Role

As a Senior Data Scientist, you will:

• Develop and enhance credit risk and decisioning models using customer, credit bureau, transactional, and internal datasets.
• Analyse portfolio performance across originations, arrears, defaults, recoveries, and customer behaviour.
• Identify opportunities to improve underwriting strategies and customer decisioning.
• Produce actionable insights from large, complex, and sometimes incomplete datasets.
• Build monitoring frameworks and reporting to track model and portfolio performance.
• Support the deployment and optimisation of analytical solutions within production environments.
• Investigate data quality issues and drive improvements across reporting and decisioning processes.
• Work closely with risk, product, engineering, and commercial stakeholders to deliver data-driven solutions.
• Contribute to model governance, validation, and documentation activities.

Skills & Experience

• Strong Python experience across analytics, modelling, and data processing.
• Hands-on experience working within AWS environments, including services such as Lambda, EC2, SageMaker, RDS, and CloudWatch.
• Proven track record developing and validating predictive models, including logistic regression and machine learning techniques.
• Strong understanding of consumer credit risk, affordability assessment, and lending decisioning.
• Excellent analytical and problem-solving skills with a rigorous attention to detail.
• Experience translating complex analysis into clear recommendations for business stakeholders.
• A proactive, ownership-driven mindset and ability to thrive in a fast-paced environment.

What They Offer

• Competitive salary
• Be part of a fast-growing, data-led business.
• Work on high-impact projects with direct business visibility.
• Influence lending decisions and strategic direction.
• Collaborate with experienced professionals across risk, product, and technology.
• Enjoy significant autonomy and ownership in a highly collaborative environment.

How to Apply

Please get in touch to learn more about this role.

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Senior Valuations Manager
London
£120,000 to £150,000 plus benefits.

This is a high impact leadership role where you will shape how valuation and NPV models are designed and used across a modern consumer lending business. You will move beyond traditional approaches, embedding sophisticated valuation models directly into credit decisioning and strategy.

The Company
They are a fast growing, profitable digital financial services organisation operating across multiple consumer lending and banking products. With significant investment in analytics and technology, they place strong emphasis on data driven decision making. Valuations sit at the heart of their growth strategy.

The Role

• Set the strategic direction for valuation, NPV and IRR modelling across lending products
• Build and evolve account level valuation models used in live decisioning
• Partner with Credit Risk, Product, Finance and Impairment teams
• Lead and develop a team of credit analysts with close links to data science
• Drive innovation in valuation methodology and modelling infrastructure

Your Skills & Experience

• Strong commercial experience in valuation, NPV and IRR modelling within consumer lending
• Proven ability to build models from first principles
• Strong conceptual thinker with confidence to challenge existing approaches
• Python experience within modelling environments
• Effective people leadership and senior stakeholder management

What They Offer

• Salary of £120,000 to £150,000 plus benefits
• Hybrid working with flexibility
• High visibility role with genuine influence on credit and growth strategy
• Clear scope for career progression

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