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DATA QUALITY & GOVERNANCE ENGINEER
£80,000
LONDON

This is a key hire into a growing data and AI function within a regulated financial services environment. The role offers a strong mix of hands‑on technical work and data governance ownership, with the chance to shape how data quality and trust is embedded across the business.

THE COMPANY

Our client is a fast‑growing financial services organisation providing core banking and technology services to a broad range of businesses, including fintechs and SMEs. They operate in a highly regulated environment and are investing heavily in their data platform as part of continued growth. This role has been created due to increasing demand for trusted, high‑quality data across the organisation.

THE ROLE

• Take ownership of data quality and governance across key business domains
• Build and maintain data quality metrics using SQL and dbt, ensuring accuracy and reliability
• Implement and manage the organisation’s data governance tooling, including metadata, lineage and documentation
• Work closely with stakeholders to define data standards, metrics and data definitions
• Support finance and analytics teams by improving visibility into data quality and source reliability
• This role is heavily hands‑on (circa 75% technical), while also offering real ownership over governance practices and tooling.

YOUR SKILLS AND EXPERIENCE:

• Experience in data quality, analytics engineering or data engineering roles
• Strong SQL skills and hands‑on experience with dbt
• Understanding of data governance concepts such as data lineage, data dictionaries and quality frameworks
• Experience working with data quality metrics and validation processes
• Comfortable working with stakeholders and translating business requirements into technical metrics
• Experience with governance or metadata tools is advantageous

SALARY AND BENEFITS

• £70,000 – £80,000 base salary
• Bonus scheme
• Pension contribution
• Hybrid working model (2 days per week in London)

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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AI FORWARD DEPLOYED ENGINEER
£110,000
UK

This is an exciting opportunity to join a fast‑growing, AI‑led technology business working on complex, real‑world problems at enterprise scale. The role is ideal for an engineer who enjoys being close to customers, owning delivery end‑to‑end, and seeing advanced AI solutions live in production.

THE COMPANY

Our client is an AI‑first technology business operating in the life sciences and data space. They work with large enterprise customers globally, helping teams extract value from vast and complex datasets using modern AI and NLP techniques. The business is scaling quickly, with this role created to support growing customer demand and large‑scale enterprise deployments.

THE ROLE

• Lead technical delivery for enterprise customers, owning integrations from initial proof‑of‑concept through to production
• Design and implement AI‑driven integrations, including LLM‑powered and agent‑based workflows
• Act as a technical partner to customers, understanding requirements and translating them into scalable solutions
• Feed customer learnings back into the core platform, influencing product and engineering direction
• Work closely with internal engineering teams to improve platform capability and robustness

YOUR SKILLS AND EXPERIENCE:

• 6-8 years’ experience building production‑grade ML, data or software systems
• Proven experience deploying NLP or LLM‑based features into production environments
• Strong exposure to RAG, retrieval or recommendation systems
• Experience working with vector databases and end‑to‑end LLM workflows
• Familiarity with graph databases and cloud data platforms
• Confident communicator with strong stakeholder management skills
• Consultancy or customer‑facing technical experience is advantageous

SALARY AND BENEFITS

• £80,000 – £110,000 base salary
• Fully remote working model

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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Customer Insights Analyst

£50,000 – £55,000

Darwen (3 days a week on-site)

This is an exciting opportunity to join a data-led organisation where customer insight is central to driving commercial performance and improving customer experience.

THE COMPANY

They are a growing, customer-centric organisation operating across a large network of consumer-facing locations. With a strong focus on personalisation and service quality, they use data to continuously improve engagement, retention, and lifetime value.

THE ROLE

As a Customer Insight Analyst you will play a key role in shaping how data informs decision making across marketing, operations, and customer strategy, with a clear line of sight to business impact.

Specifically, you can expect to be involved in the following:

• Analyse customer and transactional data across CRM systems, digital platforms, and surveys to identify behavioural trends and opportunities
• Develop dashboards and reporting frameworks that track retention, conversion, and customer lifetime value
• Support campaign targeting and personalisation through segmentation, cohort analysis, and predictive modelling
• Evaluate campaign effectiveness through pre- and post-analysis, measuring uplift, ROI, and channel performance
• Lead on customer satisfaction and advocacy analysis, using sentiment analysis and key driver techniques
• Translate complex datasets into clear, actionable insights for non-technical stakeholders

SKILLS AND EXPERIENCE

The successful Customer Insight Analyst will have the following skills and experience:

• Strong commercial experience in customer insight, CRM analytics, or marketing analytics
• Proficiency in SQL and Python, with exposure to tools such as Power BI or Tableau
• Experience with segmentation, lifecycle analysis, and campaign performance measurement
• Understanding of CRM and marketing channels such as email, SMS, or direct communications
• Ability to analyse survey data, including sentiment and driver analysis
• Confident communicating insights to a range of stakeholders, including non-technical audience
• Familiarity with data privacy and governance best practices

BENEFITS

The successful Customer Insight Analyst will receive the following benefits:

• Salary between £50,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Senior Product Security Engineer

London (Hybrid)

Salary: £80,000 – £100,000

This is an opportunity to join a forward-thinking technology-driven business where security is embedded from day one. You will play a key role in shaping how products are built securely, working closely with engineering teams to influence design decisions and protect innovative, customer-facing solutions. The role offers strong technical ownership, exposure to modern cloud and AI-driven systems, and the chance to make a visible impact across the organisation.

The Company

They are a modern digital financial services organisation focused on delivering user-centric products through technology and innovation. With a strong emphasis on collaboration and continuous improvement, they have built a culture where teams are empowered to challenge conventions and deliver meaningful change. Security is treated as a core pillar of product development, not an afterthought. As part of a growing InfoSec function, you will join a team that values practical, engineering-led security approaches.

The Role

• Embed security into the full product lifecycle, from concept through to release
• Conduct hands-on security assessments across web, mobile, and backend applications
• Lead and support threat modelling activities for new features and systems
• Collaborate closely with engineering teams to design secure architectures
• Integrate and optimise security tooling such as SAST, SCA, DAST and vulnerability scanning
• Help drive secure development lifecycle practices across teams
• Deliver secure engineering training and guidance to developers
• Support triage and remediation of vulnerabilities from testing, tooling, and external reports
• Contribute to automation of security processes using scripts and internal tools

Your Skills & Experience

• Strong commercial experience in application or product security
• Hands-on experience with security testing tools such as Burp Suite, Nmap, or similar
• Solid knowledge of web or mobile security, with willingness to broaden across both
• Good understanding of networking fundamentals and operating systems
• Experience conducting threat modelling and explaining security trade-offs to stakeholders
• Ability to script and automate tasks using languages such as Python, JavaScript, or Go
• Knowledge of secure coding practices and common vulnerabilities
• Familiarity with cloud environments and infrastructure concepts
• Comfortable working closely with engineers in a collaborative environment

What They Offer

• Opportunity to work on modern technology including cloud and AI-driven systems
• A highly collaborative environment with strong engineering partnerships
• Clear progression opportunities within a growing security function
• Investment in learning and development, including time for upskilling

How to Apply

If you are interested in building secure, scalable products in a collaborative environment, apply now to find out more.

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RISK STRATEGY DIRECTOR

UP TO £150,000 + BENEFITS

LONDON

HYBRID WORKING POLICY

Are you looking to join a fast-growing, mission-driven business with a strong focus on data, strategy and innovation? Become a Risk Strategy Director and lead a high-performing team to shape risk strategy, drive commercial decision-making and support sustainable growth across a rapidly evolving product portfolio. Use data-driven insights to solve complex problems, launch new products and partnerships, and develop innovative strategies that create a competitive advantage

THE COMPANY

A rapidly growing, data-led Fintech operating at the intersection of technology and financial services. With a strong focus on innovation and scalability, the organisation is building a modern, customer-centric offering in a fast-evolving market. The company operates in a highly analytical environment, placing data-driven decision-making, collaboration and continuous improvement at its core. This creates an opportunity to be part of a forward-thinking business focused on growth, innovation and long-term impact.

THE ROLE

As a Risk Strategy Director, you will lead a high-performing team, using data-driven insights to shape risk strategy, inform key commercial decisions, and support sustainable growth across a rapidly evolving product portfolio.

Specifically, you can expect to be involved in the following:

• Lead and develop a high-performing risk strategy team
• Shape and deliver risk strategies to support growth and profitability
• Use data-driven insights to inform key commercial decisions
• Partner with senior stakeholders to define and influence business strategy
• Support new product launches and strategic initiatives
• Remain hands-on with data to solve complex analytical problems

SKILLS AND EXPERIENCE

The successful Risk Strategy Director will have the following skills and experience:

• Strong background in risk strategy, credit risk or fraud analytics
• Proven experience using data to drive commercial and strategic decisions
• Strong SQL and data manipulation skills
• Experience leading and developing high performing teams
• Comfortable working in fast-paced, high-growth environments
• Collaborative mindset
• Prior leadership experience

BENEFITS

The successful Risk Strategy Director will receive a salary up to £150,000 as well as a comprehensive benefits package.

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Associate Consultant, Data and AI

London – Hybrid

The Company
They are an established international consultancy with a strong reputation across multiple industries, including healthcare, life sciences, transport and logistics. They are investing heavily in data, AI and digital capabilities, with a clear focus on building user centric, data driven products. Their approach blends strategy with execution, enabling teams to move from insight to tangible outcomes. This creates a unique environment where data professionals work closely with design and engineering teams to deliver impactful solutions.

The Role
You will contribute to both client delivery and internal innovation, working as part of a collaborative, cross functional data team.
Key responsibilities include:
* Delivering data science and analytics solutions to solve complex business problems
* Building internal tools and contributing to the development of data and AI products
* Conducting statistical analysis and regression modelling to generate insights
* Creating dashboards and visual outputs for business stakeholders
* Supporting AI workflow development, including exposure to large language models
* Working with cloud technologies, particularly Azure, to support deployment
* Collaborating with front end and UI teams to create user focused data products

Your Skills and Experience
* Strong commercial experience in data analytics, data science, or consulting environments
* Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn
* Strong SQL skills and experience working with structured data
* Solid understanding of statistical analysis and regression techniques
* Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes
* Experience working in cross functional teams, ideally alongside engineers or product teams

What They Offer
* Hybrid working with a London office base
* Structured learning and development, including dedicated time for upskilling
* Clear progression opportunities within a growing data and AI capability
* The chance to shape AI initiatives and contribute to product strategy

How to Apply
If you are keen to apply your data and AI skills in a consulting and product focused environment, apply now to learn more.

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HOME RISK PRICING MANAGER

UP TO £70,000 + BENEFITS AND CAR ALLOWANCE

WEST MIDLANDS

HYBRID, 1 DAY A WEEK IN OFFICE

Are you looking to join a leading insurance provider with ambitious growth plans and a strong focus on data, pricing and innovation? Become a manager, leading a small team to deliver pricing strategy and performance. Analyse multiple data sources to identify pricing opportunities and develop new insights through the integration of new data sets and innovative techniques.

THE COMPANY

A leading UK insurer with a strong digital focus, providing personal lines products to millions of customers. Significant investment has been made in data, pricing and technology to support growth and improve customer outcomes. The organisation operates in a highly analytical environment, with a strong emphasis on data-driven decision-making, collaboration and continuous improvement, offering the opportunity to contribute to a forward-thinking and evolving business.

THE ROLE

As a Home Risk Pricing Manager, you will lead a team of analysts while using data-driven insights to optimise pricing strategy, improve risk segmentation, and support growth across the portfolio.

Specifically, you can expect to be involved in the following:

• Optimise how models are combined to enhance pricing algorithms
• Lead and prioritise a team of analysts to deliver pricing strategy and performance
• Analyse multiple data sources to identify pricing opportunities
• Identify segments for pricing improvement and implement changes
• Coach, mentor and support team members
• Understand what data trends mean commercially for the business

SKILLS AND EXPERIENCE

The successful Home Risk Pricing Manager will have the following skills and experience:

• Strong background in consumer/personal lines insurance (home, motor, van)
• Excellent analytical and problem-solving skills
• Prior leadership experience
• Commercially minded with a drive to challenge and improve
• Proficiency in Python, R or SQL

BENEFITS

The successful Home Risk Pricing Manager will receive a salary up to £70,000 as well as a comprehensive benefits package.

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Senior Credit Risk Modeller (6 month FTC)

Salary
100k salary Pro-rated

Location + work pattern
London – 4 days per week in office (with some flexibility)

The Company
This organisation is a growing, niche lender operating across multiple product lines including property and asset finance. With a strong focus on risk management and regulatory alignment, they are investing heavily in modernising their credit modelling capabilities and governance frameworks.

The Role
You will take the lead on redesigning and enhancing a suite of credit risk models, ensuring they are robust, compliant, and aligned with evolving regulatory requirements. This is a hands-on role with significant ownership across both technical delivery and stakeholder engagement.
Specifically, you can expect to be involved in:

• Leading redevelopment of credit risk rating, ICAAP and stress testing models
• Designing and implementing PD, LGD and expected loss frameworks across portfolios
• Enhancing model risk sensitivity and improving overall model performance
• Managing model lifecycle processes including testing, documentation, and governance
• Collaborating with risk, finance, and lending teams to ensure models are understood and effectively utilised

YOUR SKILLS AND EXPERIENCE

• Strong experience developing credit risk models (e.g. scorecards, stress testing, ICAAP, or IFRS 9 models)
• Solid understanding of key risk metrics including PD, LGD and EAD
• Proficiency in Python or R for modelling and data analysis
• Experience working with large datasets and data tools (e.g. SQL, Excel)
• Ability to communicate technical concepts clearly to non-technical stakeholders

THE BENEFITS

• Opportunity to lead a high-impact modelling transformation project
• Exposure to a broad range of credit portfolios and risk frameworks
• Collaborative and evolving risk function environment

THE PROCESS

• Initial interview
• Technical assessment / case study
• Final stage interview
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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Senior Forensics Analytics Manager

Salary
£90,000-£105,000

Location + work pattern
London (2 days per week in the office)

THE COMPANY
This organisation is a globally recognised consulting firm operating across financial services and other regulated industries. Their specialist forensics function focuses on helping clients investigate and mitigate financial, legal, and regulatory risks using advanced analytics and emerging technologies. The team is investing heavily in AI and data capabilities to support complex, high-impact client engagements.

THE ROLE
This is a senior leadership position combining hands-on project delivery with team management and business development responsibilities. You will lead complex data-driven forensic investigations whilst working closely with clients and contributing to the growth of the practice.
Specifically, you can expect to be involved in:

• Leading data and AI-driven forensic projects, including data ingestion, analysis and modelling
• Managing and mentoring a team of data professionals across multiple engagements
• Working directly with clients to deliver insights and communicate findings clearly
• Supporting business development activities, including developing new client relationships
• Delivering projects focused on regulatory investigations, fraud, and financial risk

YOUR SKILLS AND EXPERIENCE

• Strong experience in data analytics and AI within a regulated environment (e.g. financial services, lending, or fraud)
• Proven ability to lead teams and manage large-scale data-focused projects
• Experience engaging with clients and presenting technical outputs to non-technical stakeholders
• Commercial awareness with experience supporting or driving business development activities
• Technical capability across SQL, Python, and cloud platforms (e.g. Azure, AWS or GCP)
• Familiarity with data engineering tools and platforms such as Databricks

THE BENEFITS

• Competitive salary and benefits package
• Opportunity to work on high-profile, complex engagements
• Access to cutting-edge data and AI technologies
• Strong career development and leadership opportunities
• Inclusive and collaborative working environment

THE PROCESS

• Initial interview
• Technical or competency-based interview
• Final interview
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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