INDUSTRY
OVERVIEW
Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.
In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences. That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.
In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.
In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.
Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!
CANDIDATE PROFILE
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- Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.
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- Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.
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- Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.
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- Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.
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- Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.
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- Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.
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- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
Senior Product Engineer
London
£115000 - £140000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Product Engineer
£115,000 to £140,000 + Equity
Liverpool St., London
This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.
THE COMPANY
They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.
Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.
THE ROLE
As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.
Specifically, you can expect to be involved in the following:
- Building and scaling a production-grade AI product from the ground up
- Designing and developing APIs and backend services that power enterprise customer integrations
- Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
- Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
- Working across the stack to deliver customer-facing features and platform capabilities
- Collaborating with stakeholders to translate customer feedback into product improvements
- Establishing engineering best practices across architecture, testing, deployment, and delivery
- Contributing to technical strategy and product roadmap decisions
SKILLS AND EXPERIENCE
The successful Senior Product Engineer will have the following skills and experience:
- Strong commercial experience as a Product Software Engineer or Software Engineer
- Experience building and scaling an LLM-enabled product from concept through to production
- Strong backend engineering expertise, ideally within API-first products
- Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
- Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
- Experience managing token usage, infrastructure costs, and scalability challenges in AI products
- Comfortable working autonomously in a startup or high-growth environment
- Strong product mindset with the ability to make technical and commercial decisions
- Excellent communication and stakeholder management skills
- React experience is beneficial but not essential
- Experience within Financial Services or other regulated industries would be advantageous
BENEFITS
The successful Senior Product Engineer will receive the following benefits:
- Salary between £115,000 – £140,000 – depending on experience
- Equity
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
Senior Product Engineer
London
£110000 - £140000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Product Engineer
London (Hybrid) | Up to £140,000 + Equity
Looking to make a genuine impact at an early-stage AI startup? This is an opportunity to join a well-funded business as one of its first engineering hires, taking ownership of a product already being tested by major enterprise customers.
The Company
This AI startup is building a behavioural intelligence platform that helps financial services organisations better understand customer behaviour and decision-making. Backed by significant early-stage investment, they are working with large enterprise clients and moving from proof-of-concept projects towards commercial deployment. With a small, highly capable team, they are focused on building scalable AI products with real-world impact.
The Role
You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage.
Responsibilities include:
- Building LLM-enabled products and features used by enterprise customers
- Designing and developing backend services, APIs, and platform capabilities
- Owning RAG workflows and AI application architecture
- Managing evaluation frameworks, testing, monitoring, and quality standards
- Optimising LLM performance, scalability, and cost efficiency
- Working closely with product leadership and customers to shape the roadmap
- Establishing engineering best practices across development and deployment
Your Skills & Experience
- Strong experience as a Product Software Engineer
- Proven track record building and shipping an LLM-based product from 0 to 1
- Experience owning architecture, product decisions, and implementation
- Strong backend engineering experience with API-first products
- Hands-on experience with RAG and production AI systems
- Understanding of token usage, model evaluation, and cost optimisation
- Ability to operate autonomously in a startup environment
- Strong communication and stakeholder management skills
Desirable:
- Experience with Node.js, TypeScript, and React
- Computer Science background
- Experience within AI startups, technology companies, or financial services
What They Offer
- Salary up to £140,000
- Meaningful equity package
- Hybrid working in London
- Significant ownership and autonomy
- Opportunity to shape the engineering culture and technical direction
- Direct exposure to founders and business leadership
How to Apply
Apply today to learn more about this opportunity to build and scale cutting-edge AI products within a fast-growing startup.
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Senior Data Scientist
London
£60000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist – Leicester or London 1 day a week
We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It’s a small, fast‑paced team (6 people) working on more experimental and forward‑thinking pricing approaches.
Some of the exciting work includes:
- Alternative pricing models
- Footprint modelling / Geospatial modelling
- Residual modelling to identify gaps between predicted vs. actual claim costs
- Working with large, messy insurance datasets across multiple product lines
- Tools & tech: Python, SQL, AzureML, XGBoost
- Opportunity to mentor within the team
To Apply for this Job Click Here
Contract Credit Risk Modeller
London
£500 - £640
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Credit Risk Modeller
- £560-£640 per day
- Inside IR35
- Fully remote
- Three-month contract
The company
Harnham is partnering with a leading financial data and analytics organisation to recruit a hands-on Credit Risk Modeller for an initial three-month engagement.
You will join its UK Product Analytics and Innovation team, supporting the rapid development of a new credit-risk product.
The role
You will independently build a point-of-application credit risk scorecard from raw data through to a validated, production-ready MVP.
Your responsibilities will include:
- Ingesting, joining and cleaning complex customer and credit datasets
- Constructing development samples and defining observation and performance windows
- Establishing appropriate good/bad definitions
- Engineering characteristics and treating missing and special values
- Performing monotonic binning, Weight of Evidence and Information Value analysis
- Developing an interpretable logistic-regression scorecard
- Completing feature selection, model tuning and points-based score scaling
- Validating the model using measures such as Gini, KS, AUC, PSI and out-of-time testing
- Producing clear technical documentation and supporting production implementation
Your skills and experience
The successful candidate will have:
- Personally built and deployed at least two end-to-end consumer or commercial credit scorecards
- Advanced hands-on Python experience within credit-risk modelling
- Strong SQL skills and the ability to prepare complex modelling datasets independently
- Practical experience with WoE, IV, binning, logistic regression and score scaling
- Experience defining modelling samples, performance windows and credit outcomes
- A track record of implementing scorecards within lending, underwriting, collections or credit decisioning
- The ability to write custom transformations and debug Python logic independently
- Experience delivering models within regulated financial-services environments
- Availability to begin immediately or at short notice
Experience with credit-bureau, SME, commercial, Companies House or Open Banking data would be beneficial. GCP and BigQuery experience is also desirable, although other cloud platforms will be considered.
Candidates should be prepared to discuss a previous scorecard build in granular detail during the interview, including feature choices, binning decisions, model trade-offs, validation results and their individual coding contribution.
To Apply for this Job Click Here
QA Engineer
London
£60000 - £75000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
QA Automation Engineer
London (Hybrid, 2 days per week) | Up to £75,000
Join a growing technology business that is investing heavily in AI-assisted engineering, automation, and modern software development. This is an opportunity to play a key role in shaping quality engineering practices while helping launch and scale a new client-facing platform.
The Company
A fast-growing technology business in the financial services space, developing innovative products that help users make more informed financial decisions. They operate with cross-functional engineering squads and a strong focus on innovation, automation, and continuous improvement.
The Role
- Build and improve automation frameworks for web applications and APIs
- Develop automated regression and functional testing solutions
- Support the delivery of a new client-facing web platform
- Work closely with developers and product teams to improve software quality
- Use AI tools to accelerate testing, debugging, and test creation
- Contribute to CI/CD processes and testing strategy
Your Skills & Experience
- Strong QA automation engineering experience
- Expertise in API and UI testing
- Experience with Playwright, Selenium, or similar tools
- Knowledge of Java or Kotlin
- Strong understanding of HTML, CSS, JavaScript, and SQL
- Experience with CI/CD pipelines and Agile environments
- Comfortable using AI tools within an engineering workflow
What They Offer
- Salary up to £75,000
- Hybrid working with flexibility
- 25 days annual leave
- Enhanced parental leave
- Pension and salary sacrifice schemes
- Private healthcare options
- Study support and professional development
- Mental health and wellbeing support
- Dog-friendly office
- Potential equity review after probation
How to Apply
Apply today to learn more about this opportunity and discuss whether it could be the right next step in your career.
To Apply for this Job Click Here
QA Engineer
City of London
£65000 - £85000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
QA Engineer
London (Hybrid, 2 days in office) | £65,000 – £75,000 + Benefits
If you’re a QA Engineer who is passionate about automation, AI-driven development, and building scalable testing frameworks from the ground up, this is an opportunity to have a genuine impact. You’ll join a growing technology team where quality engineering is seen as a key contributor to product success, with the freedom to shape automation strategy and reduce manual testing across a modern digital platform.
The Company
This innovative technology business develops a sophisticated platform that helps users gain greater visibility and insight into complex financial information. They operate in a product-led environment with cross-functional engineering squads focused on delivering high-quality digital experiences.
The business combines modern engineering practices, data-driven decision making, and a strong commitment to innovation. With significant investment in product development, they are continuing to scale their technology function and strengthen their quality engineering capability.
The Role
You will join a collaborative squad of engineers, product specialists, and quality professionals, taking ownership of automation testing and quality assurance across a modern web platform.
Responsibilities include:
- Designing and building automated testing frameworks from the ground up
- Developing automated UI and API test suites to improve product quality
- Testing frontend applications, backend services, and data flows
- Supporting regression testing for platform enhancements and integrations
- Creating scalable automation solutions that minimise manual testing
- Driving AI adoption within the testing lifecycle to increase efficiency
- Collaborating with developers and product teams to improve testability and quality standards
- Contributing to continuous improvement across QA processes and automation architecture
- Participating in Agile ceremonies, planning sessions, and technical discussions
- Supporting quality across a modern microservices-based environment
Your Skills & Experience
- Strong commercial experience with Java or Kotlin
- Proven background in QA automation engineering
- Experience with API testing using tools such as Rest Assured, Postman, Swagger or similar
- Hands-on UI test automation experience using Selenium, Playwright, Selenide, or comparable technologies
- Understanding of JSON, XML, HTTP protocols, and web application architecture
- Experience working with CI/CD pipelines and modern software delivery practices
- Strong knowledge of test frameworks such as JUnit or TestNG
- Familiarity with Jira, Confluence, and Agile delivery environments
- Ability to work across frontend and backend testing activities
- Experience using AI tools within engineering workflows, including Claude and N8N
- A mindset focused on automation, efficiency, and continuous improvement
- Knowledge of SQL and data validation techniques is advantageous
- Exposure to performance testing or microservices environments would be beneficial
What They Offer
- Electric car scheme, cycle to work scheme, nursery scheme, and gym benefits
- Professional development support, study assistance, and dedicated learning time
- Home working equipment provided where required
- Mental health and wellbeing support
- Regular team and seasonal social events
- Dog-friendly office environment
- Clear opportunities to influence automation strategy and grow your technical leadership skills
How to Apply
To find out more about this QA Engineer opportunity, please apply with your CV and a member of the Harnham team will be in touch to discuss the role in greater detail.
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Lead Data Engineer
San Francisco
$185000 - $235000
+ Data Engineering
PermanentSan Francisco, California
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Senior Data Engineer / Analytics Engineer
Downtown San Francisco | Hybrid (4 days onsite)
What You’ll Do
Data Engineering & Infrastructure
- Design, build, and maintain data pipelines from ingestion through transformation and delivery
- Own data modeling and transformation across the firm’s core data sources
- Build and maintain a reliable, scalable data infrastructure from the ground up
- Ensure data quality, consistency, and governance across systems
Analytics & Business Partnership
- Serve as the primary technical translator between data systems and non-technical business stakeholders
- Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use
- Build reporting and analytics capabilities that give the business clear visibility into performance and client data
- Communicate complex data concepts in plain language – confidently and clearly
AI & Modern Tooling
- Leverage AI tools to improve productivity and analytical output – familiarity with tools like Glean expected
- Contribute to the firm’s evolving AI initiatives as they develop
- Stay current on relevant AI and data tooling and bring practical recommendations to the team
What We’re Looking For
Required
- Strong proficiency in Python and SQL
- Hands-on experience with data modeling, transformation, and pipeline development
- Ability to work independently as the primary or sole data practitioner – this is not a large team environment
- Confident communicator – comfortable presenting to and advising non-technical stakeholders including senior leadership
- High EQ – personable, collaborative, and able to build trust with people across the organization
- 4 days per week onsite availability in downtown San Francisco
Strongly Preferred
- Background in finance, wealth management, or financial services
- Experience at a private equity-backed company or PE rollup environment
- Familiarity with wealth management workflows, data structures, and reporting needs
- Experience as the sole or primary data person at a company – someone who has had to be resourceful, self-directed, and scrappy
- Exposure to AI tools in a professional context (Glean or similar)
Compensation
- Base salary: $185,000 – $235,000
- Discretionary bonus
- Downtown San Francisco office – hybrid, 4 days onsite per week
To Apply for this Job Click Here
Senior Analytics Manager
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Analytics Manager (BI)
London/Hybrid
Up to £100K
The Overview
This is an opportunity to join a business at a pivotal stage in its analytics evolution. As a Senior Analytics Manager (BI), you will play a key role in shaping the future of business intelligence, helping to drive major platform changes, build scalable analytics foundations, and enable more effective self-service analytics across the organisation.
The Company
They are a fast-paced, technology-led organisation with a well-established data and analytics function. Analytics sits at the heart of decision-making, with close collaboration across product, data, and business teams. The organisation is investing heavily in its analytics capabilities, including platform modernisation, semantic layer development, and AI-enabled analytics experiences. This role offers the chance to influence strategy while remaining hands-on with technical delivery.
The Role
- Lead high-impact business intelligence and analytics initiatives across the organisation.
- Help define and deliver the future-state vision for analytics and reporting capabilities.
- Drive the development of scalable semantic layers, data models, and metric frameworks.
- Establish best practices for governance, data quality, and analytics standards.
- Partner with Product Analytics teams to ensure consistent and trusted insight delivery.
- Influence technical direction and prioritisation during ongoing platform transformation projects.
- Support the adoption of self-service analytics and conversational analytics solutions.
- Act as a senior individual contributor, combining strategic thinking with hands-on technical leadership.
Your Skills & Experience
- Strong commercial experience in business intelligence, analytics, or data leadership roles.
- Proven expertise in semantic layers, data modelling, metric definition, and analytics governance.
- Experience shaping analytics strategy within mature, data-driven or technology-focused organisations.
- Ability to identify and resolve data and reporting challenges at their source.
- Demonstrated technical judgement and a track record of influencing analytics best practices.
- Strong stakeholder management skills with the ability to communicate complex concepts clearly.
- Experience developing long-term analytics roadmaps and translating them into practical delivery plans.
- A passion for improving how organisations use data to make decisions.
How to Apply
If you’re an experienced Senior Analytics Manager (BI) looking to combine technical leadership with strategic influence, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Data Analytics Manager
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Analytics Manager
London (Hybrid, 2-3 days per week) | Up to £100,000 + Benefits
This is an opportunity to take on a highly influential individual contributor role within a growing analytics function. You will help shape the future of analytics, data strategy, and AI adoption, driving meaningful change across the organisation while remaining hands-on with high-impact initiatives.
The Company
This organisation is investing heavily in its data and analytics capabilities to support better decision-making at every level of the business. With a strong focus on innovation, modern data platforms, and AI-enabled solutions, they are transforming how insight is generated and consumed.
The business offers a collaborative environment where analytics plays a strategic role, creating an excellent opportunity for someone who enjoys combining technical expertise with commercial impact.
The Role
* Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern analytics tooling.
* Help define and implement strategies for semantic layers, self-service analytics, and metric governance.
* Improve technical standards, ensuring analytics solutions are scalable, reliable, and consistent.
* Partner with Data, Product, Engineering, and business stakeholders to shape analytics strategy.
* Lead strategically important analytics initiatives that drive measurable business value.
* Own and develop key analytics products, reporting frameworks, and enterprise metrics.
* Influence data platform, tooling, and architectural decisions.
* Evaluate emerging technologies and translate promising ideas into practical solutions.
* Provide technical leadership and coaching across the wider analytics community.
* Act as a trusted advisor on analytics best practice, governance, and capability development.
Your Skills & Experience
* Strong commercial experience in analytics, business intelligence, analytics engineering, data strategy, or a related field.
* Advanced SQL and data modelling skills, with strong knowledge of modern analytics tools and platforms.
* Experience developing semantic layers, metric frameworks, and self-service reporting capabilities.
* Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies.
* Strong understanding of analytics architecture, data governance, and modern BI principles.
* Proven ability to influence senior stakeholders and drive change without direct authority.
* Strong interest in AI and its application within analytics and decision-making environments.
* Comfortable balancing strategic thinking with hands-on delivery.
* Excellent communication skills and the ability to engage both technical and non-technical audiences.
* Experience within a regulated industry is advantageous but not essential.
What They Offer
* Salary up to £100,000.
* Hybrid working with 2-3 days per week in a London office.
* Opportunity to shape the future direction of analytics within a data-led organisation.
* Exposure to modern data platforms, AI initiatives, and enterprise-wide transformation programmes.
* Strong learning and development opportunities.
* Clear scope to increase your influence and impact within a high-performing analytics function.
* Competitive benefits package and flexible working arrangements.
How to Apply
If you’re a technically strong analytics professional looking to influence strategy, drive innovation, and shape the future of analytics, apply today to learn more about this Data Analytics Manager opportunity.
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Senior Analytics Manager
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
SENIOR ANALYTICS MANAGER
LONDON/HYBRID
UP TO £100,000
This is an exciting opportunity for a Senior Analytics Manager to play a pivotal role in shaping the future of analytics within a highly innovative organisation. You’ll have the chance to influence analytics strategy, champion modern data practices, and drive the adoption of AI and self-service analytics, all while remaining hands-on and close to delivery.
ROLES AND RESPONSIBILITIES:
The Senior Analytics Manager will:
- Drive analytics innovation through AI, modern tooling, and evolving data platforms
- Define and implement strategies for semantic layers, metric governance, and self-service analytics
- Improve technical standards, scalability, and consistency across analytics practices
- Partner with senior leaders to shape the future direction of analytics
- Influence stakeholders and drive business-wide adoption of analytics best practices
- Lead experimentation with emerging technologies and scale successful solutions
- Own strategically important analytics products and executive reporting
- Define, govern, and evolve key business metrics and reporting frameworks
- Contribute to platform, tooling, and analytics architecture decisions
- Act as a trusted advisor on analytics strategy and capability development
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience in analytics, business intelligence, analytics engineering, or data strategy
- Advanced technical capabilities across analytics tools, coding, data modelling, and analytics architecture
- Experience working with semantic layers, metric governance, and self-service analytics environments
- Knowledge of modern data stack technologies, with exposure to dbt considered highly advantageous
- Demonstrated ability to influence stakeholders and lead change across complex organisations
- Strong interest in AI and emerging technologies, with an understanding of their application within analytics
- Ability to balance strategic thinking with hands-on delivery
- Comfortable operating in dynamic and evolving environments
- Excellent communication and stakeholder management skills
- Financial services experience is beneficial but not essential
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QA Engineer
London
£70000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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QA ENGINEER
LONDON/HYBRID
UP TO £75,000
This is an opportunity to join a growing technology business at a pivotal stage in its product journey. You will play a key role in shaping an AI-first approach to quality engineering, building scalable automation frameworks and helping deliver a high-quality web platform used in a data-intensive environment.
ROLES AND RESPONSIBILITIES:
The QA Engineer will:
- Design, develop, and maintain automated testing frameworks from the ground up.
- Create automated tests across front-end applications, APIs, and back-end systems.
- Validate complex data flows, ensuring accuracy, reliability, and data quality.
- Build regression testing capabilities to support ongoing platform enhancements and third-party integrations.
- Collaborate with developers, product teams, and stakeholders to improve testability and release quality.
- Drive the use of AI tooling within the testing lifecycle to increase efficiency and reduce manual effort.
- Support CI/CD processes and contribute to continuous quality practices.
- Help establish best practices for automation architecture, test coverage, and quality engineering.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience with Java or Kotlin.
- Experience testing both frontend and backend systems.
- Hands-on API testing experience using tools such as Rest Assured, Postman, Swagger, or similar.
- UI automation experience with tools such as Selenium, Selenide, or Playwright.
- Understanding of JSON, XML, HTTP methods, response codes, and web architecture.
- Experience working with test frameworks such as JUnit or TestNG.
- Knowledge of SQL and data validation techniques.
- Experience with CI/CD pipelines and tools such as GitHub Actions.
- Familiarity with Jira, Confluence, or similar delivery tools.
- A strong interest in AI-native engineering practices, including the use of tools such as Claude and N8N to accelerate development, automation, and testing workflows.
- A mindset focused on removing manual effort through intelligent automation and process improvement.
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Staff AI Engineer
$200000 - $600000
+ Data Science & AI
PermanentNew York
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Staff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: $250,000 + Equity + Bonus
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
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