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Senior Data Architect - Insurance & London Market

Location: London (Hybrid)


Overview

An established insurance organisation is looking for a Senior Data Architect to take ownership of enterprise and solution-level data architecture across London Market insurance domains. This role combines deep insurance expertise with modern cloud, analytics, and data platform architecture.

Key Responsibilities:

* Define and govern enterprise data architecture aligned to business strategy
* Design modern cloud-based data platforms using Medallion Architecture
* Produce and maintain conceptual, logical, and physical data models
* Act as a design authority, presenting architecture options and recommendations
* Define data integration and data product strategies
* Embed data governance, quality, lineage, and master data principles
* Support advanced analytics and AI-enabled data use cases

Required Experience:

* Extensive experience as a Senior / Lead Data Architect within Insurance and the London Market
* Strong knowledge of Lloyd's ecosystem, syndicates, DA, reinsurance, underwriting, and claims
* Proven expertise in cloud data platforms (Azure, AWS, or GCP)
* Strong understanding of modern data architecture patterns and data modelling
* Experience operating at enterprise or cross-domain level
* Excellent senior stakeholder communication skills

Why Apply?

* Strategic, high-visibility architecture role
* Influence long-term data and analytics direction
* Work on large-scale, complex insurance transformations

Senior Business & Data Analyst - Insurance

Location: London (Hybrid)
Type: Permanent

Overview

A specialist insurance organisation is seeking a Senior Business & Data Analyst to support complex data and system transformation programmes within the London Market. This role sits at the intersection of business, data, and technology, requiring strong analytical capability alongside confident senior stakeholder engagement.

Key Responsibilities

* Lead end-to-end business and data analysis across underwriting, pricing, policy administration, claims, and reinsurance
* Analyse, profile, and validate complex insurance datasets using SQL
* Define data mappings, business rules, and transformation logic
* Conduct data quality assessments and support reconciliation activities
* Facilitate workshops with business and technical stakeholders
* Act as a bridge between underwriting, claims, finance, operations, and technology teams
* Support agile delivery across multi-disciplinary teams

Required Experience:

* Proven experience as a Senior Business Analyst / Data Analyst within London Market or Lloyd's insurance
* Strong domain knowledge across Syndicates, Delegated Authority, Reinsurance underwriting and claims
* Strong SQL experience for hands-on data analysis
* Experience working on data-led transformation or platform modernisation initiatives
* Confident engaging senior business and technology stakeholders

Why Apply?

* High-impact role within complex London Market environments
* Opportunity to shape data-driven transformation
* Strong stakeholder exposure and long-term programme work

Senior business & data analyst - Permanent hybrid role in insurance - £80k

A global consultancy is seeking a senior business & data analyst to support data and system transformation initiatives across the London Market insurance space. This role sits across business data and technology, driving analysis and delivery across Syndicate, Delegated Authority and Reinsurance and Ceded Reinsurance portfolios.

Key Responsibilities

* Lead end-to-end business and data analysis across multiple insurance domains.
* Perform detailed data analysis, profiling, reconciliation and validation using SQL and analytical tools.
* Conduct data quality assessments to define data quality rules and remediation approaches.
* Analyse existing reports, extracts, and data flows.

Skills & Experience

* Speciality in reinsurance - preferably in Syndicate, Delegated Authority and] Policy underwriting
* Data analysis experience in SQL servers.
* Data mapping
* Data quality
* Data profiling

What they offer:

* Base Salary of up to 80k
* 15% Flex
* Up to 20% bonus

Senior business & data analyst - Hybrid role in insurance - £80k

A global consultancy is seeking a senior business & data analyst to support data and system transformation initiatives across the London Market insurance space. This role sits across business data and technology, driving analysis and delivery across Syndicate, Delegated Authority and Reinsurance and Ceceded Reinsurance portfolios.

Key Responsibilities

* Lead end-to-end business and data analysis across multiple insurance domains.
* Perform detailed data analysis, profiling, reconciliation and validation using SQL and analytical tools.
* Conduct data quality assessments to define data quality rules and remediation approaches.
* Analyse existing reports, extracts, and data flows.

Skills & Experience

* Speciality in reinsurance - preferably in Syndicate, Delegated Authority and] Policy underwriting
* Data analysis experience in SQL servers.
* Data mapping
* Data quality
* Data profiling

What they offer:

* Base Salary of £70-80k
* 15% Flex
* Up to 20% bonus

Senior Manager - Data Architect (Investment & Wealth)

Location: London/Edinburgh

Overview:

A global consultancy is hiring a Senior Manager; Data Architect within its Investment Management and Wealth practice. This is a senior, client-facing position for an experienced data leader with proven experience in modern data architecture and transformation. You'll work alongside senior stakeholders, lead talented teams and craft data strategies that modernise operating models, improve decision-making and drive real business impact.



Key Responsibilities:

* Lead the design and delivery of enterprise data strategies and data architecture for complex investment and wealth clients
* Manage multi-disciplinary teams delivering assessments, target-state architectures, and transformation road maps
* Identify inefficiencies in existing data architectures and define pragmatic, scalable improvements
* Shape and deliver operating model and data transformation initiatives, from strategy through to implementation
* Lead client workshops to define requirements, design data models, and agree architectural principles
* Engage confidently with C-level and senior stakeholders, translating complex data concepts into clear business value
* Stay close to emerging data technologies and industry trends, applying them to real client challenges



Required Experience:

* Strong background in data architecture and data solution design within consulting or large enterprise environments
* Deep understanding of data management concepts including:

* Data modelling (conceptual, logical, physical)
* Data quality, master & reference data
* Analytics, reporting, and self-service BI

* Experience defining data standards, taxonomies, vocabularies, and a "common language for data"
* Proven leadership experience managing delivery teams and developing junior talent
* Strong industry experience within Investment Management and/or Wealth, e.g.:
* Asset & wealth management products
* Trading, portfolio management, risk, pricing, ESG, market data



Why Join?

* Work on high-impact data transformation programmes for leading financial services organisations
* Operate at the intersection of strategy, architecture, and delivery
* Be part of a cooperative, inclusive environment that values expertise, innovation, and leadership
* Clear progression, strong investment in personal development, and exposure to senior decision-makers
* Flexible hybrid working model with a strong focus on well-being and career sustainability

VP Data Lead Business Analyst - Banking

Location: London
Salary: Up to £100,000 + bonus

A leading Bank is seeking a VP Data Lead Business Analyst to join a brand‑new function within their central data organisation. This is a strategic role positioned at the heart of the bank's data ecosystem, supporting global trading functions and driving the evolution of a key enterprise‑wide data platform.

About the Role:

You will sit within the central data team responsible for the bank‑wide data store used for all trade capture across the Investment Bank. With 70 projects running annually, this is a high‑impact, fast‑moving environment where you will work across multiple asset classes and be involved in both short‑term and long‑term transformation initiatives.

* Supporting the migration and onboarding of internal consumers onto the central data store.
* Conducting analysis on data needs, flows, and integration requirements.
* Partnering with global business and technology teams as the function scales.

Longer‑term, the team is also beginning to explore AI/ML capabilities, giving excellent exposure to emerging initiatives.

What they're Looking for:

* Experience working within Investment Banking, ideally covering Equity Derivatives, FX, Securities, or Rates.
* Strong understanding of trade lifecycle, derivatives concepts, and market data.
* Ability to work in a central data or cross‑asset environment, managing multiple stakeholders.
* A proactive, analytical mindset suited to a high‑volume project pipeline.

Why Apply:

* Join a brand‑new hire in a strategically important function.
* Step up into a VP‑level role with senior leadership visibility.
* Influence the data strategy for an Investment Bank undergoing major modernisation.
* Work across all trading areas while shaping how consumers interact with the firm's core data platform.

Data Science Engineer (DV Cleared)

Location: London or Manchester
Security Clearance: DV Cleared
Salary: Up to £80,000

An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases.

This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment.



What You'll Be Doing:

* Designing, building and maintaining scalable data processing and integration services
* Supporting Data Science and Machine Learning workloads through well‑engineered software solutions
* Developing high‑quality, testable code using modern engineering practices
* Working within secure cloud‑hosted environments
* Collaborating closely with technical and non‑technical stakeholders



What We're Looking For

Essential:

* Strong interest in data, particularly Data Science and Machine Learning
* Solid software engineering background with experience in Java, Python or TypeScript
* Hands‑on experience with cloud platforms
* DV Clearance in place



Location & Working Pattern:

* Candidates must be aligned to either London or Manchester
* Hybrid working
* On‑site attendance is required to meet client needs





Benefits Package:

* 9% non‑contributory pension
* Private healthcare
* 25 days annual leave
* Life insurance
* And more



If you're a DV‑cleared engineer passionate about data‑driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long‑term development.

Data Architect - Hybrid - London - £75,000

A public‑facing regulatory organisation is seeking an experienced Data Architect to support the design, governance, and evolution of its enterprise data landscape across Microsoft D365 and a modern medallion architecture.

This role sits within the Digital Services team and plays a key part in shaping data models, ensuring data quality, and guiding the organisation toward a consistent, well‑governed data future.



The Role

* Designing conceptual and logical data models to support new projects and enhancements.
* Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework.
* Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata.
* Championing good data architecture practices across the organisation.



Requirements:

* Microsoft background (SSIS, Dataverse, sharepoint)
* Microsoft Azure and/or Fabric
* Understanding of transactional, Kimball and OBT methodologies

Experience

* Proven experience in data architecture
* Demonstrable ability to translate business and technical requirements into robust data architecture solutions
* Experience designing transitional architectures and handling security considerations across architectural domains.

AI Security Engineer

Location: UK (Hybrid / Flexible Working)
Level: Senior
Sector: Financial Services

We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale.

This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business.



The Role

As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation.

Key responsibilities include:

* Acting as a subject matter expert on security engineering patterns and best practice
* Designing and implementing solutions to protect systems, APIs and sensitive data
* Performing security audits, vulnerability assessments and supporting incident response
* Driving the adoption of modern cryptographic technologies and techniques
* Developing, implementing and maintaining Identity & Access Management (IAM) solutions
* Ensuring security controls align with regulatory requirements and business objectives
* Influencing stakeholders and contributing to security policy, governance and risk mitigation

Skills & Experience Required

* Strong programming and scripting skills (Python and Bash essential)
* Solid experience with cloud platforms - AWS and/or Azure
* Strong understanding of API development and security
* Experience designing or implementing security controls in complex environments
* Knowledge of, or strong interest in, data science and AI-driven systems
* Comfortable operating in regulated, enterprise-scale environments
* Able to communicate complex and sensitive technical topics to senior stakeholders



Why Apply?

* Work on cutting-edge AI and GenAI security challenges
* Influence security strategy within a large-scale, enterprise environment
* High-impact role with strong visibility across engineering and leadership teams
* Flexible working arrangements and a strong culture of collaboration
* Competitive compensation and long-term career development

Senior Databricks Data Engineer - London - Insurance - £100K

Are you ready to take your career to the next level in a rewarding environment that values your expertise?

We are seeking a Senior Azure Databricks Engineer for a permanent, hybrid role based in London. In this position, you will leverage Azure Databricks to drive innovative data solutions and contribute to enhancing our data engineering capabilities. This is an excellent opportunity for individuals who thrive in collaborative environments and are passionate about making an impact.

Key responsibilities include:
- Designing and implementing scalable data processing solutions using Azure Databricks.
- Collaborating with cross-functional teams to optimize data workflows.
- Ensuring data quality and governance across various pipelines.
- Mentoring and supporting junior data engineers to foster growth and innovation.

Requirements to be successful:

- Azure Data Services experience (including Azure ADF, Data Lake, Key Vault, Azure Functions and Databricks Delta Lake, PySpark and Unity Catalog)

- Experience within the Lloyds of London insurance market

If you are an experienced Azure Databricks engineer looking to make a meaningful contribution, we encourage you to apply for this exciting opportunity. Your skills could shape the future of data engineering with us.