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
Data Engineer
City of London
£75000 - £95000
+ Data Engineering
PermanentCity of London, London
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Data Engineer
£75,000 – £95,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth, technology-driven organisation undergoing a major cloud and data transformation. You’ll play a key role in building a brand-new GCP analytics platform from the ground up, helping shape the future of data across the business.
THE COMPANY:
This organisation operates within a specialist, highly regulated industry and has built a strong reputation through its innovative use of technology, data and analytics. Backed by significant investment and continued growth, the business is making major investments in its modern data platform and cloud capabilities.
With a collaborative culture, strong employee retention and a focus on continuous improvement, this is an environment where engineers can take ownership, solve meaningful problems and directly influence business outcomes.
THE ROLE:
You will take ownership of building and developing a new GCP Data Analytics Platform while helping modernise the organisation’s wider data estate.
Key responsibilities include:
- Building end-to-end data solutions, from ingestion through to business-facing outputs.
- Developing scalable ingestion pipelines using APIs, CDC, SFTP and streaming technologies.
- Designing and optimising dbt transformation layers and warehouse workflows.
- Creating dimensional models, fact tables and star schema designs to support analytics at scale.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Hands-on GCP experience in a commercial environment.
- Strong expertise with dbt
- Advanced dimensional modelling skills
- Strong Python and SQL experience
- Experience with Terraform, Kafka, Dataflow or Pub/Sub.
THE BENEFITS:
You will receive a salary of £75,000 – £95,000 depending on experience.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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BI Analyst
London
£40000 - £44000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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BI Analyst
London | Hybrid
Up to £44,000
This is an exciting opportunity for a BI Analyst to join a data-focused organisation where analytics plays a central role in driving strategic decision-making. You’ll have the chance to take ownership of high-impact reporting, modernise analytical processes through automation, and help shape the future of data capabilities across the business. This role offers a strong balance of technical delivery, stakeholder engagement, and continuous improvement.
The Company
They are a well-established organisation undergoing continued investment in their data and analytics function. Data is at the heart of key business decisions, and they are committed to building scalable, reliable, and modern analytical processes.
Working across multiple business areas, they leverage a combination of internal and external datasets to generate meaningful insights, support product and commercial initiatives, and deliver valuable reporting to both internal and external stakeholders. They offer a collaborative environment with a strong focus on innovation, data quality, and professional development.
The Role
As a BI Analyst, you will:
- Own and deliver recurring analytical outputs, reporting, and insight generation activities
- Develop and maintain robust SQL-based data processes and reporting pipelines
- Design, build, and optimise Power BI dashboards and data models
- Integrate and enrich data from multiple internal and external sources
- Implement data validation, reconciliation, and quality assurance processes
- Identify trends, patterns, and opportunities through advanced analytics
- Support product, commercial, and operational teams with data-driven recommendations
- Produce clear, impactful reporting and communicate findings to both technical and non-technical stakeholders
- Contribute to the development of scalable analytics infrastructure and best practice methodologies
Your Skills & Experience
- Strong commercial experience with SQL and Power BI
- Experience building dashboards, reports, and data models
- Strong analytical skills with the ability to interpret complex datasets
- Experience improving and automating reporting processes
- Knowledge of data validation, quality assurance, and governance practices
- Exposure to Python or R for analysis and automation would be beneficial
- Excellent communication skills with the ability to engage technical and non-technical stakeholders
What They Offer
- Salary of £44,000 depending on experience
- Comprehensive benefits package
- The opportunity to own business-critical analytics and reporting functions
- Exposure to modern data technologies, automation, and AI initiatives
- Ongoing training and professional development opportunities
- Clear progression within a growing data and analytics team
- Collaborative and supportive working environment
- Hybrid working flexibility
How to Apply
If you’re an Analytics Engineer looking to work on meaningful data projects, drive automation, and influence business decision-making through analytics and insight, apply today.

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Senior Data Engineer
City of London
£80000 - £100000
+ Data Engineering
PermanentCity of London, London
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Senior Data Engineer
Up to £100,000
London
This is a fantastic opportunity to join a highly regarded investment management business and take ownership of a firmwide data platform being built from the ground up. You’ll play a pivotal role in a greenfield transformation, helping create the data foundation that will support investment reporting, analytics, and future AI initiatives.
THE COMPANY:
This organisation is a well-established investment management firm overseeing a multi-asset portfolio spanning public equities, private markets, credit, alternatives, and other investment strategies.
With a lean and highly specialist team, technology plays a critical role in supporting investment decision-making, reporting, governance, and data-driven innovation. The business is now investing heavily in a modern data platform that will become the central foundation for reporting, analytics, and future AI use cases.
THE ROLE:
You will take ownership of the design, build, and ongoing development of a next-generation Azure data platform.
Key responsibilities include:
- Designing and implementing a greenfield data platform on Azure, with Databricks
- Building and maintaining ingestion pipelines across investment, finance, market, custody, and private markets data sources.
- Developing infrastructure-as-code, CI/CD processes, governance frameworks, and data quality controls.
- Supporting the firm’s AI roadmap
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Data engineering within financial services environments.
- Python, SQL, Spark/PySpark, and modern cloud-based data platforms.
- End-to-end platform builds, migrations, or greenfield data engineering projects.
- Data modelling, governance, CI/CD, testing, lineage, and data quality best practices.
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Software Engineer
Bristol
£70000 - £85000
+ Data Engineering
PermanentBristol
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Senior Software Engineer
up to £85,000
Remote (UK)
This is a great opportunity to join a high-growth, product-led organisation where you can take ownership of a business-critical platform and become the primary engineer driving feature delivery, quality improvements, and platform scalability.
THE COMPANY:
This organisation operates a specialist technology platform that connects senior executives with investment firms, helping facilitate high-value introductions and commercial opportunities. The business has built a proprietary platform that sits at the heart of its operations and is now investing heavily in bringing engineering expertise in-house to support future growth.
With a collaborative culture, strong leadership team, and ambitious product roadmap, the company offers the opportunity to play a visible role in shaping both technology and engineering best practice.
THE ROLE:
You will take ownership of major engineering initiatives across a PHP/Laravel and React platform, becoming the primary builder responsible for delivering high-quality software into production.
Key responsibilities include:
- Owning large sprint tickets.
- Building across the Laravel backend and React frontend.
- Running releases independently and supporting deployment processes.
- Reviewing code and helping uphold engineering standards.
- Collaborating closely with Product, Data and QA teams.
- Reducing technical debt and improving software quality.
- Enhancing testing, CI/CD and release automation processes.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Strong PHP and Laravel expertise in production environments.
- Commercial experience with React and TypeScript.
- Experience owning releases and delivering software into production.
- PostgreSQL database design, optimisation and migrations.
- AWS environments, ideally serverless architectures and Laravel Vapor.
- CI/CD tooling such as GitHub Actions.
- Interest in AI-assisted software development practices.
THE BENEFITS:
You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here
Senior Software Engineer
City of London
£70000 - £85000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Senior Software Engineer
up to £85,000
Remote (UK)
This is a great opportunity to join a high-growth, product-led organisation where you can take ownership of a business-critical platform and become the primary engineer driving feature delivery, quality improvements, and platform scalability.
THE COMPANY:
This organisation operates a specialist technology platform that connects senior executives with investment firms, helping facilitate high-value introductions and commercial opportunities. The business has built a proprietary platform that sits at the heart of its operations and is now investing heavily in bringing engineering expertise in-house to support future growth.
With a collaborative culture, strong leadership team, and ambitious product roadmap, the company offers the opportunity to play a visible role in shaping both technology and engineering best practice.
THE ROLE:
You will take ownership of major engineering initiatives across a PHP/Laravel and React platform, becoming the primary builder responsible for delivering high-quality software into production.
Key responsibilities include:
- Owning large sprint tickets.
- Building across the Laravel backend and React frontend.
- Running releases independently and supporting deployment processes.
- Reviewing code and helping uphold engineering standards.
- Collaborating closely with Product, Data and QA teams.
- Reducing technical debt and improving software quality.
- Enhancing testing, CI/CD and release automation processes.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Strong PHP and Laravel expertise in production environments.
- Commercial experience with React and TypeScript.
- Experience owning releases and delivering software into production.
- PostgreSQL database design, optimisation and migrations.
- AWS environments, ideally serverless architectures and Laravel Vapor.
- CI/CD tooling such as GitHub Actions.
- Interest in AI-assisted software development practices.
THE BENEFITS:
You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here
Senior Software Engineer
Leeds
£70000 - £85000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Software Engineer
up to £85,000
Remote (UK)
This is a great opportunity to join a high-growth, product-led organisation where you can take ownership of a business-critical platform and become the primary engineer driving feature delivery, quality improvements, and platform scalability.
THE COMPANY:
This organisation operates a specialist technology platform that connects senior executives with investment firms, helping facilitate high-value introductions and commercial opportunities. The business has built a proprietary platform that sits at the heart of its operations and is now investing heavily in bringing engineering expertise in-house to support future growth.
With a collaborative culture, strong leadership team, and ambitious product roadmap, the company offers the opportunity to play a visible role in shaping both technology and engineering best practice.
THE ROLE:
You will take ownership of major engineering initiatives across a PHP/Laravel and React platform, becoming the primary builder responsible for delivering high-quality software into production.
Key responsibilities include:
- Owning large sprint tickets.
- Building across the Laravel backend and React frontend.
- Running releases independently and supporting deployment processes.
- Reviewing code and helping uphold engineering standards.
- Collaborating closely with Product, Data and QA teams.
- Reducing technical debt and improving software quality.
- Enhancing testing, CI/CD and release automation processes.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Strong PHP and Laravel expertise in production environments.
- Commercial experience with React and TypeScript.
- Experience owning releases and delivering software into production.
- PostgreSQL database design, optimisation and migrations.
- AWS environments, ideally serverless architectures and Laravel Vapor.
- CI/CD tooling such as GitHub Actions.
- Interest in AI-assisted software development practices.
THE BENEFITS:
You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here
BI Developer
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
BI Developer
London/Hybrid
Up To £60,000
This is an excellent opportunity for a BI Developer to join a specialist data consultancy delivering high-impact projects for clients across the private capital and investment sector. You’ll work on complex data integration challenges, gain exposure to a variety of client environments, and play a key role in building scalable data solutions that drive business decision-making.
The Company
They are a growing data and technology consultancy that helps investment-focused organisations unlock greater value from their data. Combining advisory expertise with a proprietary data platform, they deliver solutions across reporting, analytics, system integration, and operational efficiency. With an established client base and a strong reputation in their market, they offer a collaborative environment where individuals are encouraged to take ownership and develop their technical expertise.
The Role
As a BI Developer, you will work closely with analysts, developers, and client stakeholders to design and deliver robust data solutions.
Key responsibilities include:
- Building and maintaining ETL pipelines across a range of client environments
- Developing, optimising, and supporting complex T-SQL solutions
- Designing and enhancing semantic, tabular, and dimensional data models
- Supporting data warehousing initiatives and reporting capabilities
- Developing and maintaining DAX calculations and analytical models
- Troubleshooting data issues and resolving technical challenges
- Collaborating with analysts to translate business requirements into technical solutions
- Working directly with client data environments and contributing to solution design
- Supporting the delivery of data integration projects across varying architectures and technology stacks
- Managing changing priorities while maintaining high-quality delivery
Your Skills & Experience
You will ideally have:
- Strong commercial experience with SQL, preferably T-SQL
- Experience designing and building ETL pipelines
- SQL Server development experience
- Strong understanding of data warehousing principles
- Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models, and Kimball methodologies
- Exposure to DAX and analytical modelling
- Experience working across complex data environments
- Strong stakeholder communication skills and the ability to work with evolving requirements
- Experience within a consultancy or project-based environment, or evidence of delivering multiple concurrent initiatives in a fast-paced setting
- Python experience would be advantageous but is not essential
What They Offer
- £50,000 – £60,000 base salary
- Hybrid working model with three days per week in the London office
- Fixed-term contract with strong potential for longer-term opportunities
- Exposure to leading organisations within the private capital and investment space
- Opportunity to work with modern data technologies and proprietary platforms
- Varied, project-driven work across different client environments
- Investment in professional development, training, and certifications
- A collaborative culture that values autonomy, ownership, and continuous learning
How to Apply
If you’re a BI Developer with strong SQL, ETL, and data modelling expertise looking to broaden your experience within a specialist consultancy environment, please apply with your CV to be considered.

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Lead Analytics Consultant
London
£80000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Lead Analytics Consultant
London / 1 day per month in the office
Up to £90,000 + Bonus
This is an opportunity to join a growing analytics function focused on building high-impact, production-ready analytical products. Rather than delivering one-off reporting, you’ll create scalable tools and applications that are used by both internal stakeholders and external clients, directly influencing business decisions and user experiences.
The Company
They are a well-established organisation with a growing focus on data and analytics innovation. Their analytics team operates as a business-facing function, partnering closely with consultants, commercial stakeholders and project teams to solve complex challenges. The team is investing in reusable products, frameworks and analytical applications designed to deliver long-term value. With continued growth plans, this is an excellent opportunity to play a key role in shaping the future of analytics delivery.
The Role
You will work across the full product lifecycle, from initial concept and requirements gathering through to deployment and user adoption.
Responsibilities include:
- Building production-ready analytical products and applications for business users
- Developing interactive dashboards, tools and data-driven applications
- Partnering directly with stakeholders to understand requirements and shape solutions
- Delivering analytical products that create measurable business impact
- Creating reusable frameworks, templates and components to improve team efficiency
- Translating complex business problems into practical analytical solutions
- Driving adoption and ongoing enhancement of analytical products
- Working in a highly collaborative, geographically distributed team environment
Your Skills & Experience
- Strong commercial experience developing analytical products and user-facing applications
- Advanced Python development skills
- Experience with technologies such as Shiny for Python, R Shiny, Streamlit, Dash or similar application frameworks
- Ability to take products from idea through to production deployment
- Strong stakeholder engagement and consulting capabilities
- Experience solving ambiguous business problems through data and analytics
- Comfortable working in a hands-on environment with a focus on building and delivering solutions independently
- Experience creating scalable and reusable analytical assets
- Backgrounds focused primarily on backend data engineering or data pipeline development are unlikely to align with the requirements of this role
What They Offer
- Lead salary of £90,000
- 25% bonus opportunity
- 10% pension contribution
- Comprehensive benefits package
- Flexible working with only one day per month required in London
- Opportunity to build impactful analytics products used across a growing business
- Clear scope to influence product strategy, delivery approaches and best practices
- Lead level role offers significant autonomy while remaining fully hands-on
How to Apply
If you have strong experience building analytical products with Python and enjoy working closely with stakeholders to deliver scalable, user-focused solutions, apply today for a confidential discussion.

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Lead Software Engineer – Frontend
New York
$220000 - $240000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Lead Software Engineer – Frontend
New York City, NY – 3 days per week onsite
$220,000 – $240,000 base salary + annual bonus + RSUs
THE COMPANY
Harnham is partnering with a high-growth consumer technology and financial services business operating at significant scale, serving millions of users globally. Backed by the resources and stability of a large public technology organization, the business combines the agility of a startup with the reach, data, and impact of an enterprise platform.
This is an exciting opportunity to join a rapidly expanding AI-focused engineering team that is transforming how software is designed, built, and maintained. The organization is investing heavily in AI-enabled development tools, intelligent agents, and next-generation engineering practices, with plans to significantly scale the team over the coming months.
RESPONSIBILITIES
- Lead the design and delivery of AI-augmented software solutions across critical product initiatives.
- Partner with engineering leaders, product stakeholders, and architects to define technical strategy and execution plans.
- Build and deploy intelligent agent frameworks that assist with software development, code review, testing, and operational efficiency.
- Drive modernization efforts by migrating legacy systems and improving platform scalability and maintainability.
- Define and implement specification-driven development practices that leverage generative AI capabilities.
- Own the technical direction for a key product vertical while mentoring engineers and influencing architecture decisions across teams.
SKILLS AND EXPERIENCE
Required
- 8+ years of professional software engineering experience.
- Strong full-stack development background with deep expertise in TypeScript.
- Experience with modern server-side frameworks such as NestJS, Remix, or similar technologies.
- Hands-on experience designing and deploying applications in Kubernetes environments.
- Demonstrated experience leading large-scale technical initiatives and influencing engineering best practices.
- Exposure to AI-assisted software development, LLM-powered applications, developer tooling, or agent-based systems.
- Bachelor’s degree in Computer Science or a related technical discipline.
Preferred
- Experience with modern AI development platforms, orchestration frameworks, and model integration patterns.
- Knowledge of functional programming concepts and practices.
- Experience working within marketplace, fintech, consumer technology, or product-driven organizations.
- Familiarity with advanced frontend architecture concepts, including suspense boundaries and modern rendering techniques.
BENEFITS
- Competitive base salary and bonus structure.
- Meaningful equity participation.
- Hybrid working model with a collaborative engineering culture.
- Opportunity to shape the future of AI-enabled software engineering.
- High-impact role with significant technical ownership and visibility.
- Career progression within a rapidly growing engineering organization.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Lead Software Engineer | Principal Engineer | Senior Software Engineer | AI Engineering | Generative AI | Agentic AI | LLMs | TypeScript | NestJS | Remix | Kubernetes | Full Stack Engineering | Technical Leadership | Software Architecture | Platform Engineering | FinTech | Product Engineering | AI-Augmented Development | Enterprise Software | Hybrid NYC

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Data Engineer
Nottingham
£60000 - £65000
+ Data Engineering
PermanentNottingham, Nottinghamshire
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Data Engineer
Up to £65,000 + Benefits
Nottingham (2 Days in Office)
This is a great opportunity to join a well-established financial services organisation that is undertaking a significant data transformation programme. You’ll play a key role in building and scaling a modern Microsoft Fabric data platform that will become the central source of truth for reporting, analytics and decision-making across the business.
THE COMPANY
This organisation is a long-established and highly respected UK financial services provider with a large customer base and a strong reputation for trust and stability. Currently investing heavily in technology and data, the business is modernising its data estate and building a cloud-first platform to support future growth, improved insights and better customer outcomes.
THE ROLE
Working closely with the Lead Data Engineer and a collaborative data team comprising engineering, governance and analytics specialists, you will help shape and deliver the next phase of the organisation’s Microsoft Fabric platform.
Key responsibilities include:
- Building and enhancing data solutions within Microsoft Fabric.
- Developing and maintaining Bronze, Silver and Gold data architectures.
- Integrating and transforming data from multiple source systems into Lakehouse environments.
- Building scalable data pipelines using Python, SQL and PySpark.
- Supporting the development of a centralised enterprise data platform and single source of truth.
- Collaborating with stakeholders to gather requirements and understand business data needs.
- Supporting the adoption of CI/CD practices and modern engineering standards.
YOUR SKILLS AND EXPERIENCE
You will bring strong capability in:
- Hands-on experience with Microsoft Fabric and delivering data engineering solutions within the platform.
- Strong Python development skills.
- Experience building and maintaining ETL/ELT pipelines.
- Experience working within Microsoft Azure environments.
- Strong SQL skills for data transformation and modelling.
- Knowledge of data warehousing, lakehouse environments and medallion architecture.
- Strong communication skills and the ability to work with both technical and non-technical stakeholders.
THE BENEFITS
You will receive a salary of up to £65,000 depending on experience.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here
Senior Pricing Analyst
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Pricing Analyst
Cardiff (1 day per week in office) | £65,000
This is an excellent opportunity for a Senior Credit Strategy & Pricing Analyst to take ownership of pricing strategy, advanced analytics, and commercial decision-making within a growing and data-led financial services environment. You will play a key role in shaping lending performance, influencing senior stakeholders, and driving continuous improvement across pricing and credit functions.
The Company
They are a well-established financial services organisation that uses data, analytics, and technology to support strategic business decisions. With a strong focus on innovation and customer outcomes, they invest heavily in analytical capabilities and encourage collaboration across commercial, risk, and product teams.
The business offers a supportive environment where analytical expertise is valued, and employees are given the opportunity to influence key decisions and drive meaningful change.
The Role
- Lead the development and delivery of complex pricing, credit strategy, and analytical projects.
- Conduct advanced data analysis and modelling to support business performance and strategic decision-making.
- Translate complex findings into clear recommendations for senior stakeholders.
- Own and enhance pricing and simulation tools, ensuring accuracy and effective documentation.
- Monitor performance against key business metrics and investigate areas of variance.
- Partner with cross-functional teams to align pricing and credit strategies with wider business goals.
- Support and mentor junior analysts, sharing technical expertise and best practice.
- Drive process improvements and contribute to innovation across analytics and pricing functions.
Your Skills & Experience
- Strong commercial experience within pricing, credit risk, lending strategy, or a related analytical function.
- Advanced SQL and Python skills.
- Experience using Power BI or similar visualisation tools.
- Strong understanding of statistical analysis, modelling techniques, and performance measurement.
- Ability to communicate complex analytical insights to both technical and non-technical stakeholders.
- Experience working with large data sets and translating findings into business recommendations.
- Collaborative approach with the ability to influence stakeholders across multiple functions.
How to Apply
If you’re interested in this Senior Credit Strategy & Pricing Analyst opportunity, apply now to discuss the role in more detail.

To Apply for this Job Click Here
Operations Analytics Lead
London
£100000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
This is an opportunity to lead a high-impact analytics function within a complex, data-rich environment. You will shape the data and insights strategy, influence senior decision-making, and build a best-in-class analytics capability that supports operational performance and business growth.
The Company
They are a fintech where data plays a critical role in driving operational excellence, customer outcomes, and strategic decision-making across the business.
With significant investment in analytics, reporting, and automation, they are looking for an experienced leader who can bring together data, technology, and commercial insight to deliver measurable business impact.
The Role
As the Operations Analytics & Insight Lead, you will be responsible for setting the direction of the analytics function while leading and developing a high-performing team.
You will:
- Define and deliver the data and insights strategy for the operations function.
- Lead, coach, and develop a team of analysts, creating a culture of high performance and continuous improvement.
- Act as the senior analytics partner to leadership teams, providing insight that drives business decisions.
- Establish and maintain trusted operational KPIs, reporting frameworks, and measurement standards.
- Design and oversee analytical approaches for major transformation and optimisation initiatives.
- Translate complex business challenges into structured analytical solutions and actionable recommendations.
- Drive best practice across SQL development, reporting, analytics, and data governance.
- Champion self-service reporting and scalable data solutions to improve business efficiency.
- Work closely with senior stakeholders to influence strategic priorities through evidence-based decision-making.
Your Skills & Experience
- Strong experience leading a Data, Analytics, or Insights team within a commercial environment.
- Proven people management experience, including mentoring, coaching, and developing analysts.
- Advanced SQL skills and the ability to work confidently with large, complex datasets.
- Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar.
- Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development.
- Experience with data visualisation tools such as Tableau, Looker, or Power BI.
- Ability to communicate complex analytical findings to senior and executive stakeholders.
- Commercial mindset with a track record of using data to influence business outcomes.
- Python experience for analysis or automation would be advantageous.

To Apply for this Job Click Here
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