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Data Modeller

London/Hybrid

Up to £65,000

Overview

This is a strong opportunity for a Data Modeller or Analytics Engineer who wants to move into Data Architecture. You will join a team investing in modern data platforms and governance, with clear mentorship and a defined path into architecture. The role is designed for someone who enjoys modelling and wants to shape how data is structured and used across a complex organisation.

The Company

They are a large, purpose-driven organisation operating at national scale, with a strong focus on public impact and regulatory outcomes. The business is undergoing a significant digital and data transformation, investing in cloud platforms, governance and architectural best practices. Data is central to improving decision making and operational effectiveness. You will join a growing data and architecture function that partners closely with stakeholders across the organisation.

The Role

• Develop and maintain conceptual, logical and physical data models across multiple projects
• Support the development and enforcement of data architecture standards and best practices
• Collaborate with data engineers, analysts and governance teams to ensure consistent data design
• Translate business requirements into scalable and well-structured data models
• Contribute to the evolution of the organisation’s data architecture, with mentoring from senior architects
• Work across modern cloud-based data platforms to support transformation initiatives
• Engage with stakeholders to promote good data modelling practices and architectural thinking

Your Skills and Experience

• Strong commercial experience in data modelling within modern data environments
• Exposure to dimensional modelling approaches such as Kimball or Data Vault
• Experience working with cloud data platforms, ideally within the Microsoft ecosystem
• Familiarity with tools such as dbt, PySpark or Python is beneficial
• Understanding of data architecture principles and a clear interest in progressing into an architectural role
• Experience working in cross-functional teams with both technical and non-technical stakeholders
• Ability to translate complex requirements into structured and scalable data solutions

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FP&A Business Partner

Victoria, London | Hybrid

Up to £75,000

The Overview

A unique opportunity has arisen for a commercially minded FP&A Business Partner to join a high-performing global organisation at the intersection of finance, data analytics, and strategic investment. This role offers exposure to senior leadership, board-level reporting, and business-critical investment decisions, while giving you the chance to shape and improve a growing reporting environment.

The Company

This international professional services organisation operates across multiple regions and supports a diverse client base through strategic advisory and consulting services. They have built a reputation for analytical excellence and commercially driven decision-making.

As part of a highly visible Group Finance function, you will work closely with senior stakeholders across the business, supporting performance reporting, investment analysis, and reporting transformation initiatives. The team is investing heavily in its data and reporting capabilities, creating an excellent opportunity to influence future processes and decision-making.

The Role

As an FP&A Business Partner, you will combine financial understanding with strong data and analytics expertise to deliver meaningful business insight.

You will:

• Support monthly business performance and investment reporting across the organisation
• Collect, validate, cleanse, and consolidate operational and financial data from multiple sources
• Develop and enhance reporting solutions using Excel, Power BI, SQL, and related tools
• Produce board-level reporting packs and presentations for senior stakeholders
• Analyse profitability, utilisation, investment performance, and key business KPIs
• Translate complex datasets into clear commercial recommendations and actionable insights
• Partner with Finance, Operations, and Data teams to improve reporting processes and data quality
• Support investment initiatives by evaluating performance, ROI, and business outcomes
• Contribute to the ongoing development of the organisation’s data warehouse and reporting architecture
• Drive continuous improvement through automation, standardisation, and enhanced management information

Your Skills & Experience

• Advanced Excel skills including XLOOKUP, INDEX MATCH, SUMIFS, complex reporting models, and large dataset analysis
• Strong Power BI experience covering dashboard development, data modelling, Power Query, and reporting
• Solid DAX capability with experience creating business-focused measures and calculations
• Strong SQL knowledge for querying, joining, and transforming data
• Experience working with multiple data sources and fragmented datasets
• Ability to create meaningful reporting and performance insights for business stakeholders
• Strong stakeholder management and communication skills
• Experience within professional services, consulting, financial services, or another KPI-driven commercial environment would be advantageous
• Background in Data Analytics, BI, Reporting Analytics, Commercial Analytics, or a similar data-focused role
• Comfortable working between business users and technical data teams

What They Offer

• Salary of £70,000 – £75,000
• 5% Profit Share Bonus
• Hybrid working model with 3 days per week in the Victoria office
• Exposure to strategic investment and business performance initiatives
• Opportunity to influence reporting transformation and data maturity
• High levels of stakeholder exposure, including board-level interaction
• Clear opportunities to broaden commercial, finance, and analytics expertise
• A collaborative environment focused on continuous improvement and professional development

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Data Analyst

London (Hybrid, 3 days in office) | £70,000 – £75,000
No sponsorship offered
Must come from Financial services or consulting

Looking for a role that combines data analytics, commercial insight, and strategic decision-making? This is an opportunity to join a high-performing finance and business performance function where you’ll play a key role in transforming complex operational and financial data into actionable business insight. Working closely with senior stakeholders, you’ll help shape reporting frameworks, support investment decision-making, and drive improvements across the reporting landscape.

The Company

This international professional services organisation operates across multiple markets and supports a diverse client base through advisory and consulting services. They are investing heavily in data, reporting, and business performance capabilities, creating an exciting opportunity for a commercially minded Data Analyst to make a real impact.
The business is building a more mature data environment while continuing to enhance how performance and investment decisions are measured. As part of a collaborative and highly visible team, you’ll have exposure to senior leadership and strategic initiatives across the organisation.

The Role

As a Data Analyst, you will sit at the intersection of business performance, reporting, and analytics, helping stakeholders understand profitability, performance, utilisation, and investment outcomes.

You will:

• Collect, validate, and analyse operational and financial data from multiple business functions
• Consolidate data from various sources and transform it into meaningful reporting outputs
• Develop and maintain reporting solutions using Excel and Power BI
• Create board-level reporting packs and presentations for senior stakeholders
• Analyse business performance, profitability, utilisation, and key commercial KPIs
• Support investment performance reporting and strategic decision-making
• Improve reporting processes, data quality, and reporting governance
• Work with data warehouse outputs while managing data validation and reconciliation requirements
• Partner with business stakeholders to understand reporting needs and deliver actionable insight
• Act as a bridge between business users and technical data teams
• Deliver ad hoc analysis to support commercial and operational objectives

Your Skills & Experience

To be successful in this role, you will have:

• Experience working as a Data Analyst, BI Analyst, Reporting Analyst, Commercial Analyst, or similar
• A background within Financial Services, Consulting, Professional Services, or another KPI-driven corporate environment
• Advanced Excel skills including complex reporting, data manipulation, XLOOKUP, INDEX MATCH, and SUMIFS
• Strong Power BI experience covering dashboard development, data modelling, reporting, and Power Query
• Good working knowledge of DAX and the ability to create meaningful business metrics and calculations
• Strong SQL skills for data extraction, transformation, and analysis
• Experience working with multiple datasets and handling fragmented or imperfect data
• Strong stakeholder management and communication skills
• The ability to translate data into clear commercial insights and recommendations
• A proactive approach to improving reporting processes and creating scalable solutions

What They Offer

• £70,000 – £75,000 base salary
• Hybrid working model with 3 days per week in a Central London office
• Exposure to senior leadership and board-level reporting
• Opportunity to influence reporting transformation and data maturity initiatives
• Broad, commercially focused role spanning data analytics, business performance, and investment reporting
• Career progression within a growing and highly visible function
• Collaborative environment with strong stakeholder exposure across the business

How to Apply

If you’re a Data Analyst from a Financial Services, Consulting, or Professional Services background and are looking for a role with significant business exposure and the opportunity to influence strategic decision-making, apply today to learn more.

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Junior Manager, Business Intelligence

London/Hybrid

Up to £46,000

Overview

This is an exciting opportunity to help build and shape a growing Business Intelligence function within a fast scaling, data driven organisation. You will play a key role in elevating reporting capabilities, working closely with senior stakeholders while delivering high quality insight across a variety of client projects.

The Company

They are a global media and analytics organisation focused on understanding what truly drives commercial performance. With a strong international presence and rapid expansion, they invest heavily in data, experimentation, and proprietary technology to deliver measurable outcomes. Having historically centralised data capabilities abroad, they are now building out a dedicated UK based function. This role will be integral to that growth.

The Role

You will work across existing and new client engagements, owning dashboard development and improving how data is structured and delivered.

• Audit and enhance existing dashboards and reporting products
• Lead discovery work to identify opportunities to improve data infrastructure and reporting setup
• Build and deliver new dashboards across marketing performance metrics such as clicks, impressions, and conversions
• Support onboarding of new client projects, ensuring data pipelines and reporting are fit for purpose
• Develop more advanced dashboard templating and explore future forecasting capabilities
• Integrate wider business data alongside performance metrics to drive deeper insights
• Create high quality, client ready visualisations including creative performance dashboards
• Collaborate with senior stakeholders and manage multiple projects in a fast paced environment

Your Skills and Experience

• Strong commercial experience with BI and reporting in a marketing or media environment
• Hands on expertise in Power BI or similar tools such as Data Studio
• Strong SQL skills, ideally with experience using BigQuery
• Experience building dashboards that drive actionable insight
• Ability to work with data pipelines and understand data collection funnels
• Interest in AI, with evidence of personal exploration or projects
• Strong communication skills and ability to manage multiple stakeholders and priorities
• Experience with Python or R is beneficial but not essential

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AI Product Director

Location: Hybrid – San Francisco Bay Area, ~2-3 days/week onsite

About the Role

This is the senior AI leadership seat within Risk & Analytics, reporting directly to the VP of Risk Data Science and working alongside the Director of TPM, at a regulated, revenue-generating lending business undergoing a company-wide shift to AI-driven decisioning. The organization already has production-grade AI agents live in credit and underwriting, built on nearly two decades of proprietary credit data and is now extending that AI-first approach into Sales, Customer Lifecycle, Finance, and Capital Markets.

You’ll act as the senior thought partner to the VP of Risk Data Science, leading product design and roadmapping across multiple AI transformation initiatives. This is the priority hire on a growing AI team: you’ll manage two AI Product Managers, oversee 2-3 concurrent pods, and be accountable for selecting the right engineering partner for each initiative. This is a hands-on leadership role you’ll have been in the architecture room shaping AI solution design, not just managing delivery, and you’ll be expected to run several concurrent initiatives without dropping quality.

What You’ll Do

• Serve as senior thought partner on product design and roadmapping, working closely with executive sponsors
• Lead and mentor two AI Product Managers across multiple concurrent pods
• Oversee the full project cycle: SME discovery, 0→1 process reimagination, design brief authorship, and managed build/adoption
• Select and manage the right engineering partner for each initiative (internal product engineering plus external vendors)
• Ensure QC and evaluation frameworks are in place before any AI output reaches end users
• Track impact and productivity/outcome gains against pre-implementation baselines
• Maintain awareness of relevant regulatory considerations (e.g., FCRA/ECOA/Reg B) as AI is applied to lending workflows

What We’re Looking For

Required:

• 8-12 years of experience, with a proven track record taking AI products from concept to production
• Fintech background strongly preferred
• Practitioner-level AI fluency comfortable discussing agentic patterns, evals, and golden datasets
• Experience at a smaller, fast-moving fintech, payments, or tech company (large enterprise or big tech backgrounds are not a fit)
• A track record of reimagining a business process using AI 0→1 not simply layering AI onto an existing workflow
• Demonstrated experience authoring specs or design briefs that engineering partners built to
• Experience managing external engineering vendors against a defined scope
• Strong executive presence and stakeholder management a track record of building trust with SMEs, functional heads, and executives

Nice to Have:

• Direct experience with regulatory frameworks in consumer lending (FCRA/ECOA/Reg B)
• Prior people-management experience leading product managers

Compensation & Benefits

Base Salary: Up to $300,000

Additional:

• Relocation assistance considered for candidates who need it
• Hybrid work model, 2-3 days/week onsite

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AI Product Manager

Location: Hybrid – San Francisco, CA, ~2-3 days/week onsite

About the Role

This role sits within Risk & Analytics, alongside the VP of Risk Data Science and the Director of TPM, supporting a company-wide shift to AI-driven decisioning in a regulated, revenue-generating lending business. The organization has already moved AI agents into production across credit and underwriting, built on nearly two decades of proprietary credit data – and is now extending that AI-first approach into Sales, Customer Lifecycle, Finance, and Capital Markets.

You’ll be embedded in a pod, partnered with a data scientist, and assigned to a single business area where you’ll own the 0→1 reimagination of a business process end-to-end from discovery through design, build management, QC, and adoption. This is a hands-on role, not a strategy-only seat: you’ll be expected to run discovery sessions yourself, author the design briefs an external engineering partner builds to and manage that partner day-to-day without ever letting them define scope.

What You’ll Do

• Lead SME discovery sessions to map how a process actually works today, baseline current metrics, and surface undocumented edge cases and workarounds
• Reimagine the process from the ground up (0→1) and author the design brief that an external engineering partner builds against
• Recommend the engineering partner and own the go/no-go decision
• Manage the partner day-to-day against the brief, ensuring they never redefine scope
• Design the QC framework alongside your pod’s data scientist before the build starts – no output reaches end users without QC review
• Run the shadow run, build the adoption plan with the relevant functional head, and track impact against baseline

What We’re Looking For

Required:

• 3-5 years in product management or a closely related role, with direct exposure to AI-enabled products – not just general software delivery
• Experience at a smaller, fast-moving fintech, payments, or tech company (large enterprise or big tech backgrounds are not a fit for this role)
• A track record of reimagining a business process using AI, done 0→1 – not simply adding AI to an existing workflow
• Demonstrated ability to author specs or design briefs that others have built to, and to structure an undefined problem without waiting for direction
• Enough AI fluency to hold a substantive conversation with an engineering partner and identify when a proposal doesn’t match design intent (engineering depth not required)
• Bachelor’s degree required

Nice to Have:

• Credit or lending domain experience (not required)
• Prior experience managing external engineering vendors
• Master’s degree (secondary to demonstrated delivery experience)

Strong candidates will be able to speak concretely to discovery work – specific edge cases or workarounds they uncovered that weren’t documented anywhere – and to how they measured whether AI output was good enough for production, including how they caught regressions.

Working Style:

This is a hands-on, high-autonomy role. You’ll operate with day-to-day independence inside your pod, be comfortable structuring ambiguous problems without waiting for direction, and build trust directly with SMEs and functional heads – adoption is something you earn during discovery, not something you chase after launch.

Compensation & Benefits

Base Salary: Up to $220,000

Additional:

• Relocation assistance considered for candidates who need it
• Hybrid work model, 2-3 days/week onsite

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