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Senior Risk Engineer

Up to £200,000

London (4 days a week in office)

This is an opportunity to join a leading global investment management organisation at the forefront of risk technology and quantitative investing. You’ll work directly with investment teams, building innovative risk and decision-support platforms that influence portfolio construction, capital allocation, hedging strategies, and investment performance.

THE COMPANY

They are a highly regarded global investment management firm with a strong focus on technology, data, and quantitative research. Operating across multiple asset classes and complex financial markets, they combine advanced analytics with sophisticated engineering to support investment decision-making. Their collaborative culture encourages innovation, ownership, and continuous learning. As they continue to invest in their Risk Technology capability, they are seeking an experienced Senior Risk Engineer to help shape the future of their platform.

THE ROLE

As a Senior Risk Engineer, you will be responsible for designing, building, and enhancing investment-facing risk technology solutions used by Portfolio Managers, Risk Managers, and Quantitative Researchers.

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

• Architecting and developing scalable risk technology platforms and services
• Building cross-asset risk analytics covering sensitivities, scenario analysis, VaR, exposure aggregation, margin, and attribution
• Developing APIs, data pipelines, and interactive tools that deliver actionable investment insights
• Translating complex pricing and risk models into production-grade technology solutions
• Partnering closely with investment teams to solve trading, portfolio, and risk management challenges
• Supporting the firm’s Risk Intelligence strategy through the application of advanced analytics and AI technologies
• Ensuring robust engineering standards through testing, monitoring, data governance, and operational resilience
• Contributing to platform strategy, technical design reviews, and engineering best practice

SKILLS AND EXPERIENCE

The successful Senior Risk Engineer will have the following skills and experience:

• Strong commercial experience building production-grade software within financial markets, risk technology, quantitative development, or trading environments
• Advanced programming skills in Python and/or Java, alongside strong SQL capabilities
• Experience developing APIs, distributed systems, event-driven architectures, and large-scale data solutions
• Deep understanding of derivatives, pricing models, risk analytics, Greeks, scenario analysis, and VaR methodologies
• Ability to work closely with both technical and investment stakeholders
• Strong software engineering principles including scalability, maintainability, testing, and operational excellence
• Experience investigating risk model outputs and reconciling data, methodology, and implementation discrepancies
• Excellent communication skills with the ability to explain complex concepts clearly

Desirable experience:

• Machine learning, AI, LLMs, or AI-assisted development
• Cloud platforms, containerisation, CI/CD, streaming technologies, and observability tooling
• Exposure to multiple asset classes including equities, fixed income, credit, commodities, and FX

BENEFITS

The successful Senior Risk Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Martech Engineer

£45,000 – £55,000

London or Brighton (2 days a week in office)

This is an exciting opportunity to join a growing technology and data-focused team where you will build innovative marketing technology solutions, automation tools, and AI-powered products. You will play a key role in developing scalable solutions that help clients unlock insights, improve efficiency, and drive measurable business impact.

THE COMPANY

They are a leading digital consultancy operating at the intersection of marketing, technology, data, and AI. Their teams partner with a diverse portfolio of clients to solve complex business challenges through innovative technology solutions. With a collaborative and forward-thinking culture, they invest heavily in innovation, product development, and emerging technologies. The business offers exposure to global projects and the opportunity to work alongside specialists across multiple disciplines.

THE ROLE

As a Martech Engineer, you will build AI-powered tools, cloud-based data solutions, and automation products using GCP, TypeScript, Node.js, and modern AI frameworks.

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

• Design, develop, and maintain marketing technology products, automation solutions, and AI-powered tools.
• Collaborate with stakeholders to identify business challenges and build scalable technical solutions.
• Develop and maintain API integrations, data pipelines, and cloud-based applications.
• Support the ongoing enhancement of proprietary products and internal platforms.
• Build secure, reliable, and reusable solutions using modern engineering practices.
• Contribute to technical architecture, innovation initiatives, and product strategy.
• Troubleshoot and resolve issues across existing applications and tools.
• Work closely with technical and non-technical teams to deliver impactful projects.

SKILLS AND EXPERIENCE

The successful Martech Engineer will have the following skills and experience:

• Strong commercial experience with Google Cloud Platform (GCP) or similar cloud technologies.
• Experience developing applications using JavaScript, TypeScript, and Node.js.
• Knowledge of serverless architectures and modern software engineering practices.
• Hands-on experience integrating AI capabilities into products and workflows.
• Familiarity with agentic AI frameworks such as LangChain, CrewAI, or similar technologies.
• Experience with modern front-end frameworks such as React.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Interest or exposure to digital marketing channels such as SEO, paid media, content, or analytics.

Desirable experience:

• ETL/ELT tools and data integration processes.
• BigQuery or other cloud data warehouse technologies.
• Data visualisation and dashboard development.
• Marketing technology, analytics, or data-focused environments.

BENEFITS

The successful Martech Engineer will receive the following benefits:

• Salary between £45,000 – £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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Backend Engineer – AI Services

The Role

We are looking for a Lead Backend Engineer to help bring AI/ML capabilities from prototype to production within an established SaaS platform.

This is a hands-on technical leadership role, not an engineering management or research position. You’ll work closely with Data Science to build scalable backend services, make architectural decisions, and integrate AI into customer-facing products.

What You’ll Do

• Build and evolve backend services across an established SaaS platform.
• Integrate LLMs, RAG, model serving, predictions, and scoring into production products.
• Partner with Data Science to take models and POCs from prototype through production.
• Design reusable infrastructure and patterns for AI development.
• Lead projects from architecture through delivery.
• Make build vs. buy and broader architectural decisions.
• Improve scalability, reliability, security, and maintainability.
• Communicate technical decisions and tradeoffs to senior leadership.

What We’re Looking For

• 15+ years of software engineering experience
• Strong server-side Java and backend engineering experience.
• Experience integrating AI/ML into commercial or customer-facing products.
• Proven experience taking projects from prototype to production.
• Strong architecture and system design skills.
• Experience working within and modernizing existing production platforms.
• Linux and cloud experience across AWS, Azure, or GCP.
• Strong engineering fundamentals including testing, CI/CD, monitoring, and security.
• Basic SQL and experience with data-centric platforms.
• Excellent communication and technical leadership skills.

AI/ML Experience

Experience with several of the following:

• Python / FastAPI
• MLflow
• LangChain or similar frameworks
• Vector databases / RAG
• LLM APIs
• Model serving
• ML pipelines
• Prompt engineering / agentic workflows

Ideal Background

You’ll be a strong fit if you have deep Java backend experience, have successfully put AI/ML into production, and enjoy working closely with Data Science to solve complex technical problems.

Experience with analytics, BI, decision-support applications, or healthcare is a plus.

100% Remote | U.S. Work Authorization Required

Compensation: $175,000-$210,000

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Lead Data Engineer

Remote (USA) | $175,000-$210,000

The Role

We are looking for a Lead Data Engineer to provide hands-on technical leadership across data engineering, architecture, and data platform development.

This is a Lead/Principal-level role where you will remain hands-on while setting technical direction, mentoring engineers, and leading complex data initiatives from architecture through implementation.

What You’ll Do

• Design, build, and maintain scalable ELT pipelines and data solutions.
• Lead data architecture, modeling, engineering standards, and best practices.
• Own data transformations and onboarding of new customer data sources.
• Troubleshoot complex customer-facing data issues.
• Improve existing systems through automation, scalability, reliability, and efficiency.
• Lead projects from architecture and planning through deployment and ongoing support.
• Evaluate technical options, communicate tradeoffs, and make recommendations.
• Mentor engineers and contribute to the technical roadmap.
• Manage and lead a small team of Data Engineers, supporting their development and performance.

What We’re Looking For

• 7-10+ years of experience, including 5+ years in Data Engineering.
• Strong SQL and Python skills.
• Deep experience with ELT, data pipelines, and large-scale data ingestion.
• Strong data modeling and architecture experience.
• Experience with Airflow or similar orchestration tools.
• Experience working with large datasets and varying data quality.
• Strong architectural mindset with the ability to make independent technical decisions.
• Experience improving or evolving existing data platforms.
• Previous experience managing a small Data Engineering team is required.
• Strong communication and stakeholder-management skills.
• Experience providing technical leadership and mentoring engineers.

Nice to have: dbt, PostgreSQL, MPP databases, Astronomer/Dagster, healthcare data, and experience across multiple database technologies.

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Strategic Account Manager

About the Role

We are looking for a Strategic Account Manager to manage and grow long-term relationships with key public sector and healthcare customers. This role focuses on executive stakeholder management, customer retention, and identifying cross-sell and upsell opportunities beyond the initial implementation.

What You’ll Do

• Manage multiple strategic accounts with seven-figure annual contract values.
• Build strong relationships with executive sponsors and senior stakeholders.
• Develop multi-year account strategies focused on retention, satisfaction, and growth.
• Identify and close expansion opportunities within existing accounts.
• Partner with technical and implementation teams to understand customer needs and communicate platform value.
• Navigate complex technology environments involving data, integrations, analytics, AI/ML, and workflow solutions.
• Travel approximately 10-15% for customer meetings and onsite engagements.

What We’re Looking For

• 7+ years of experience in strategic account management, customer success, enterprise sales, or a similar role.
• Proven experience managing complex SaaS customers and multi-year relationships.
• Strong public sector experience, ideally with state-level organizations or public health agencies.
• HealthTech, healthcare, or Health & Human Services experience strongly preferred.
• Proven success growing existing customer relationships and generating new business.
• Strong executive communication and relationship management skills.
• Technical fluency with the ability to understand and communicate complex technology and data solutions.
• Comfortable working in a fast-paced, entrepreneurial environment with limited structure.
• Willingness to travel 10-15%.

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Senior Data Analyst
London – Hybrid, 2 days per week
Up to £75,000

This is an exciting opportunity to join a growing analytics function within a leading digital consumer business. You’ll work with millions of user interactions, help shape product decisions, and play a key role in understanding customer behaviour, engagement, and retention across a large-scale digital platform.

The Company
They are a global digital business operating at the intersection of technology, content, and consumer engagement. Their products reach millions of users worldwide, generating vast amounts of behavioural and customer data.

The organisation is investing heavily in its data capabilities and product experience, with analytics playing a central role in driving growth and engagement. Joining at this stage offers the opportunity to influence how data is used across product, customer experience, and strategic decision-making.

The Role
As a Senior Data Analyst, you will work closely with Product, Technology, and Business stakeholders to understand user behaviour and identify opportunities to improve engagement across digital products.

Key responsibilities include:

• Analysing large-scale customer, audience, and behavioural datasets using SQL
• Investigating user journeys, engagement patterns, and customer cohorts
• Developing insights into how users interact with digital products and content
• Supporting product measurement, event tracking, and analytics frameworks
• Designing and analysing A/B tests and experimentation programmes
• Evaluating the impact of new features and product enhancements
• Identifying opportunities to improve retention, engagement, and user experience
• Working with web analytics and customer data to uncover actionable insights
• Supporting audience segmentation and customer identity analysis
• Translating complex analysis into clear recommendations for technical and non-technical stakeholders
• Partnering with Product and Engineering teams to ensure robust tracking and measurement
• Exploring opportunities to leverage AI tools to improve analytical workflows

Your Skills & Experience
You will likely bring:

• Advanced SQL skills with experience querying and manipulating large datasets
• Strong experience working with millions of rows of customer, user, or event-level data
• A background in digital analytics, customer analytics, audience analytics, CRM analytics, web analytics, or subscription analytics
• Experience analysing user behaviour, engagement, retention, or customer journeys
• Exposure to experimentation, A/B testing, or product measurement
• Experience working within cloud data environments such as BigQuery, Snowflake, Redshift, Databricks, Azure, or similar
• Strong stakeholder management and communication skills
• A naturally curious and problem-solving mindset
• Experience with GA4, digital analytics platforms, or product analytics tools would be advantageous
• Python or other analytical programming experience would be beneficial

What They Offer

• Opportunity to work with large-scale digital and behavioural datasets
• Exposure to Product Analytics and experimentation
• High visibility within a growing analytics function
• Career development opportunities and ongoing learning support
• Collaborative and data-driven culture
• Opportunity to influence product and customer experience strategy

How to Apply
If you’re a highly analytical Data Analyst with strong SQL skills and experience working with digital customer or audience data, apply now to discuss this opportunity in more detail.

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Automation Engineer

UK Remote

£90,000 + benefits

This is an opportunity to join a commercially focused digital business where technology, customer data and marketing directly influence growth. You will work across engineering, marketing, CRM and data to build automated customer journeys, improve conversion and turn behavioural insights into measurable revenue outcomes.

The Company

They are a digital marketplace business serving a large consumer customer base. Customer experience and conversion optimisation are central to their growth strategy, with an established experimentation roadmap and an increasing focus on bringing technical marketing capability in-house. They have a collaborative UK technology function alongside a broader international operation, with AI increasingly being used to support experimentation, development and analysis.

The Role

As a MarTech Engineer, you will work closely with senior technology and marketing stakeholders to connect customer data, marketing technology and engineering.

You will:

• Build and optimise automated customer journeys across email and other marketing channels.
• Analyse customer behaviour to identify valuable cohorts, conversion opportunities and points of drop-off.
• Use SQL and BigQuery to interrogate customer and behavioural data.
• Develop re-engagement journeys for customers who do not complete key conversion steps.
• Translate marketing requirements into technical rules, processes and scalable automations.
• Build and maintain integrations between customer, CRM, marketing and wider business systems.
• Develop reliable conversion data feeds into advertising platforms.
• Support remarketing activity and optimisation across platforms such as Google Ads.
• Connect marketing activity with purchases and revenue to improve measurement and attribution.
• Build automations that enable marketing teams to operate more effectively.
• Maintain data quality and consistency across customer and marketing systems.
• Work with internal teams and external partners to improve how and when customers are engaged.
• Contribute to conversion rate optimisation and experimentation initiatives with clear commercial outcomes.

Your Skills & Experience

• Strong commercial experience working across MarTech, marketing engineering, CRM engineering or a similar technical marketing environment.
• Strong SQL skills with experience querying and interpreting customer or behavioural datasets.
• Experience with BigQuery or a comparable cloud data warehouse.
• Development experience with JavaScript and Node.js.
• Experience building integrations, APIs, data feeds or automated workflows between platforms.
• Understanding of CRM and marketing automation technology.
• Experience working with digital advertising, remarketing or conversion tracking.
• Ability to translate marketing objectives into robust technical solutions.
• Strong understanding of customer journeys, conversion funnels and data-led optimisation.
• Confidence collaborating across engineering, data and marketing teams.
• Experience with Salesforce and AWS would be beneficial.

What They Offer

• Competitive salary dependent on experience.
• Hybrid working within a collaborative UK technology environment.
• Direct exposure to senior technology and marketing leadership.
• The opportunity to influence a substantial conversion optimisation and experimentation roadmap.
• A role combining hands-on engineering with measurable commercial impact.
• Scope to help shape an increasingly important in-house MarTech capability.

How to Apply

If you are a MarTech Engineer who enjoys combining engineering, customer data and digital marketing to improve conversion and revenue, apply to find out more.

To Apply for this Job Click Here

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Martech Engineer
London – Hybrid, 2 days per week
Up to £55,000

An exciting opportunity has arisen for a Martech Engineer to join a growing digital and performance marketing business at the intersection of technology, data, and marketing. This role offers the chance to build innovative tools, automation solutions, and AI-enabled products that support both internal teams and external clients, while working closely with senior stakeholders across the business. Based on the role brief and accompanying JD, the position combines hands-on engineering with real commercial impact across digital marketing, analytics, and media solutions.

The Company
They are a well-established digital services organisation that partners with a diverse portfolio of clients across multiple industries. Their teams combine marketing expertise, data capabilities, and technical innovation to solve complex business challenges and drive measurable results. Operating internationally, they have built a strong reputation for delivering technology-led solutions that improve efficiency, insight, and performance. The business continues to invest in automation, AI, and proprietary products that support growth across the organisation.

The Role
As a Martech Engineer, you will work closely with senior leadership and cross-functional teams to design, develop, and maintain tools that enable more effective marketing and analytics delivery.

Responsibilities include:

• Building and maintaining proprietary products, automation tools, and data solutions.
• Designing scalable integrations and API-driven workflows.
• Working with internal teams and client stakeholders to identify challenges and deliver technical solutions.
• Developing data pipelines and cloud-based applications within a modern engineering environment.
• Supporting AI and agent-based projects that enhance operational efficiency and insight generation.
• Maintaining and improving existing products, platforms, and codebases.
• Troubleshooting technical issues and resolving bugs across internal and client-facing tools.
• Contributing to innovation initiatives, technical best practices, and future product development.

You will ideally bring:

• Strong commercial experience with JavaScript, TypeScript, and Node.js.
• Experience developing, maintaining, and debugging serverless applications.
• Exposure to cloud technologies, ideally Google Cloud Platform (GCP).
• Experience working with APIs, integrations, and automated data workflows.
• Understanding of digital marketing channels such as SEO, paid search, paid social, or content marketing.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience building secure, scalable, and reusable solutions.

Desirable experience includes:

• BigQuery or alternative cloud data warehouse technologies.
• ETL or ELT tools such as Funnel, Adverity, or similar platforms.
• Data visualisation and dashboarding solutions.
• AI and agentic frameworks such as LangChain or CrewAI.
• Experience integrating AI capabilities into products and workflows.

What They Offer

• Exposure to innovative AI, automation, and data projects.
• Strong opportunities to broaden technical expertise and influence future product development.

How to Apply
To find out more about this Martech Engineer opportunity, please apply with your CV or get in touch for a confidential discussion.

To Apply for this Job Click Here

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This is an opportunity to lead a Data Services function covering Business Intelligence, Data Science, Digital Analytics, and Marketing Technology. You will shape strategy, develop teams, and drive the adoption of AI across data services.

The Company
They are a global organisation operating across data, analytics, technology, and digital marketing. Their teams help clients improve decision-making through measurement, reporting, analytics, and data-driven solutions. As the business continues to grow, they are investing further in their data capability and leadership team.

The Role

• Define the strategy and roadmap for the Data Services function.
• Lead teams across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology.
• Drive the use of AI within data services workflows and delivery.
• Establish standards and best practices across analytics, reporting, and measurement.
• Support revenue growth through client development and new business opportunities.
• Partner with senior stakeholders to align data initiatives with business goals.
• Develop and mentor practice leads and senior specialists.
• Present data strategies and recommendations to senior client stakeholders.
• Contribute to the organisation’s presence within the data and analytics market.

Your Skills & Experience

• Leadership experience across multiple data disciplines.
• Strong understanding of analytics, measurement, BI, and data services.
• Ability to lead technical teams and support delivery quality.
• Experience implementing AI-enabled processes or transformation programmes.
• Commercial awareness and experience supporting business growth.
• Strong communication and stakeholder management skills.
• Ability to build and develop high-performing teams.

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