financial services DATA RECRUITMENT

financial services DATA RECRUITMENT

OVERVIEW

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

CANDIDATE PROFILE

  •  
    • 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.

 

    • 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.

 

    • 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.

 

    • 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.

 

    • 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.

 

    • 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.

 

  • 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.
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Data Scientists

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!

BI Analysts

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 MANAGEMENT ANALYSTS

DATA MANAGEMENT 

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 Analysts

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 Consultants

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

Automation Engineer

London

£60000 - £100000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

Applied Automation Engineer – 12 month FTC
London, Hybrid working, £60,000 to £100,000 plus bonus and benefits

This is a high impact opportunity to take ownership of a business critical automation project within a lean, collaborative data environment. You will play a key role in replacing long standing manual processes with a robust, scalable reporting and calculation platform, with real visibility across senior leadership and the chance to shape how data and automation are done going forward.

The Company

They are a specialist investment organisation operating in the alternative assets space, with a long established track record and a global footprint. The business is deliberately small and flat, with a culture built around trust, low ego, and direct access to decision makers. Collaboration is central to how they work, with teams sitting close to the commercial problem and empowered to deliver meaningful change.

The Role

As an Applied Automation Engineer, you will be responsible for the end to end delivery of a fully automated LAV and NAV calculation system used across a diverse investment portfolio. This is a fixed term role created to deliver a specific, high value project, with strong potential to extend or convert based on success.
Key responsibilities include:

  • Designing and building automated data ingestion pipelines for structured and unstructured sources, including APIs, files, and reports
  • Implementing and maintaining SQL based data models to support complex financial calculations
  • Owning the full delivery lifecycle, from requirements through to production deployment
  • Working closely with data science, engineering, and business stakeholders to ensure outputs are accurate, robust, and fit for purpose
  • Creating a platform designed for longevity, with future potential for AI or agent based enhancements

This is an implementation focused role, suited to someone who enjoys solving real world problems and turning ambiguity into working systems.
Your Skills and Experience

  • Strong commercial experience building production grade systems using Python and SQL
  • Proven ability to automate manual or legacy processes end to end
  • Solid understanding of data workflows, APIs, and system integration
  • Experience working with CI and CD practices in a collaborative engineering environment
  • Strong mathematical and logical problem solving capability
  • Comfortable working close to the business and explaining technical concepts clearly
  • Exposure to financial services, AI tooling, FastAPI, or agentic approaches is beneficial but not essential

You will bring a pragmatic, low ego approach and be comfortable taking ownership in a small, high trust team.

What They Offer

  • Salary between £60,000 and £100,000, with most hires landing around the mid range
  • Competitive discretionary bonus with a strong historical track record of payout
  • Hybrid working model with a balance of office collaboration and home working
  • A high visibility role with genuine influence over data and automation strategy
  • Opportunity for contract extension or permanent conversion following the initial term

Please note, candidates must have the right to work in the UK as visa sponsorship is not available.

How to Apply
If you are an automation focused engineer who enjoys owning complex data driven projects and wants to see the real world impact of your work, apply now to learn more.

To Apply for this Job Click Here

Senior Product Analyst – Financial Services

London

£55000 - £70000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Senior Product Analyst
London (Hybrid, 3 days per week) Up to £70,000

This is an opportunity to join a fast growing, digital first organisation where product analytics plays a central role in shaping customer experience and commercial outcomes. You will be embedded within a product focused environment, partnering closely with Product and Engineering to drive data led decisions across high impact initiatives.

The Company
They are a modern, technology driven business operating at scale within a highly regulated industry. With a strong focus on customer outcomes and innovation, they invest heavily in data and analytics to support product development and strategic growth. The organisation values autonomy, collaboration and thoughtful problem solving, offering a mature analytics culture where insight genuinely influences decisions.

The Role

  • Act as the embedded analytics partner within a product area, shaping how insight informs product strategy
  • Define and own product performance metrics, ensuring clarity, consistency and trust
  • Analyse complex datasets to uncover trends, risks and opportunities that impact customer experience and commercial performance
  • Design and evaluate experiments to support product development and optimisation
  • Translate ambiguous business problems into clear analytical approaches and actionable insight
  • Communicate findings clearly to a wide range of technical and non-technical stakeholders

Your Skills & Experience

  • Strong SQL capability with experience working with large, complex datasets
  • Background in product, commercial or customer analytics within a fast paced environment
  • Experience using BI tools such as Tableau, Looker or Power BI, with Python exposure beneficial
  • Comfortable structuring open ended problems and working independently
  • Confident communicator who can influence stakeholders through clear, data driven storytelling

What They Offer

  • Salary up to £70,000 plus a competitive benefits package
  • Hybrid working with three days per week in a London office
  • High impact role with strong ownership and visibility
  • Opportunity to shape analytics within growing product areas and progress your career

How to Apply
If you are a Product Analyst looking for ownership, influence and meaningful impact, apply now.

To Apply for this Job Click Here

Product Owner

London

£100000 - £140000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Product Owner

London (Hybrid, 3 days onsite) | Up to £140,000 + benefits

A great opportunity to own a high‑impact digital product within a fast‑scaling consumer technology business. You will shape the roadmap, drive conversion performance, and work closely with engineering and data to deliver meaningful improvements across a complex user journey.

The Company

They are a rapidly growing, PE‑backed digital consumer business offering a seamless, fully online customer experience. With strong investment, an established user base, and ambitious growth plans, they prioritise experimentation, data‑led decision making, and continuous optimisation. You will join a collaborative product, engineering and design environment where you can influence strategy and deliver visible results.

The Role

* Own the end to end funnel strategy and roadmap
* Analyse user behaviour to identify drop off points and improvement opportunities
* Work closely with engineering to enhance flows, eligibility checks and real time decisioning
* Embed scoring, segmentation and modelling into the product experience with data teams
* Lead structured experimentation to validate hypotheses and increase conversion
* Act as the link between product, engineering and data, influencing direction across the business
* Explore opportunities to apply AI within the product journey

Your Skills and Experience

* Strong commercial experience owning digital D2C products
* Proven ability to drive conversion, optimise multi step funnels and lead experimentation
* Comfortable working with data to inform decisions and shape prioritisation
* Ability to influence cross functional teams and senior stakeholders
* Experience applying AI within product workflows is a strong advantage
* SQL capability and finance experience are bonuses

What They Offer

* Up to £140,000 base salary + benefits
* Hybrid working with three days in a central London office
* Strong progression opportunities within a scaling environment
* Collaborative product, engineering and design culture

How to Apply

If this role aligns with your experience, please apply with your CV.

To Apply for this Job Click Here

Head of Analytics – Financial Services

London

£100000 - £160000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Head of Analytics (Financial Services)

London (On-site)
£90,000 – £160,000 + bonus + benefits

We’re hiring a Head of Analytics to lead a centralised analytics function within a fast-growing, data-driven business undergoing significant transformation across analytics, AI, and decisioning.

This is a high-visibility role working closely with senior leadership to drive faster, better, data-led decision making across the organisation.

The Role

You’ll lead a central Analytics & MI team operating as a shared service across Finance, Marketing, and executive stakeholders.

Key focus areas include:

  • Moving from reporting to actionable insight
  • Embedding AI tools into analytics workflows
  • Driving automation and improved data structures
  • Supporting rollout of a new decision engine
  • Managing priorities across multiple senior stakeholders

This is a player-coach role (50/50 split) – combining leadership with hands-on delivery.

What We’re Looking For

  • Experience leading Analytics / MI teams
  • Strong ability to turn data into clear commercial insight
  • Hands-on technical skills (SQL + Python)
  • Experience with modern data tools (e.g. Snowflake, Power BI)
  • Exposure to AI tools / automation in analytics
  • Strong stakeholder management, including senior leadership

Background

  • Open to any data-rich, commercial sector (FS helpful but not essential)
  • Suitable for an existing Head of Analytics or a strong Senior Manager stepping up

Why Apply?

  • Shape a modern, AI-enabled analytics function
  • High exposure to C-suite and business strategy
  • Play a key role in business transformation
  • Significant scope to influence analytics and AI direction

Find out more and apply via the link below!!!

To Apply for this Job Click Here

Director of Performance Marketing

London

£150000 - £200000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Director of Performance Marketing

London, hybrid working. Base salary £150,000 – £200,000 plus equity and benefits.

This is a rare opportunity to build the growth engine of a fast-scaling consumer fintech. You will take a strong performance marketing foundation and turn it into a differentiated advantage, shaping how millions of customers discover, join, and grow with a leading digital product.

The Company
They are a high-growth, app-led consumer financial services business on a mission to redefine how people engage with their money. With a multi-product ecosystem and a rapidly expanding customer base, data, AI, and experimentation sit at the heart of their strategy. Marketing is seen as a strategic growth driver, with meaningful investment in brand, performance, customer analytics, and MarTech. You will join a modern, collaborative leadership team that is focused on sustainable, profitable growth.

The Role
As Director of Performance Marketing, you will:

  • Own the long-term performance marketing strategy for profitable new customer growth.
  • Lead channel investment strategy, planning, and budgeting across paid social, search, and app acquisition.
  • Build and refine measurement frameworks, from attribution and incrementality to media mix and unit economics.
  • Partner closely with Product, Data, Customer Analytics, and CRM to optimise the full funnel, from impression to in-app activation and value.
  • Lead and develop the performance marketing function, including a high-performing team and agency partners.
  • Embed a rigorous test-and-learn culture across channels, audiences, creative, and propositions.
  • Champion the use of AI and advanced analytics to drive workflow efficiency, insight, and optimisation.
  • Act as a senior thought partner to the executive team on growth opportunities, risk trade-offs, and performance forecasts.

Your Skills And Experience
You will be a strong fit if you have:

  • Proven success in scaling acquisition for a consumer-focused digital business, such as fintech, subscription, marketplace, or app-led services.
  • Deep hands-on understanding of performance channels, especially Meta, Google, and app store acquisition.
  • Strong commercial mindset with experience managing large budgets and performance-driven investment decisions.
  • Advanced analytical capability, comfortable with data, experimentation, and incrementality measurement.
  • Experience working with or alongside customer analytics, product, and MarTech teams to drive holistic growth.
  • Confidence leading agencies and internal teams, with a collaborative, low-ego leadership style.
  • Curiosity about AI and how it can enhance marketing effectiveness and decision-making.

What They Offer

  • Base salary in the range of £150,000 – £200,000, depending on experience.
  • Meaningful equity, plus a comprehensive benefits package.
  • Senior visibility and influence across the executive and product leadership teams.
  • The chance to shape the growth model of a high-potential consumer fintech at a pivotal stage.
  • A culture that values data, experimentation, and continuous learning.

How To Apply
If you are a commercially minded Director of Performance Marketing who wants to build and own a high-impact growth engine in London, please apply with your CV to find out more.

To Apply for this Job Click Here

Analytics Manager – Financial Services

London

£75000 - £90000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Analytics Manager

London, Hybrid | Up to £90,000 + bonus

This is a great opportunity to step into a visible Analytics Manager role where you will shape data-driven solutions for major financial services clients. You will lead a small team, own client relationships, and turn complex property and mortgage data into actionable insight that directly influences products and commercial decisions.

The Company

They are a specialist data and analytics business that supports banks, lenders, and financial services organisations with property, mortgage, and credit risk insight. Their products and analytics help clients make faster, smarter lending decisions using robust data and advanced modelling. You will join a collaborative analytics team that partners closely with product and commercial colleagues. The culture is dynamic, supportive, and geared towards innovation and continuous improvement.

The Role

As Analytics Manager, you will:

  • Lead and mentor a team of analysts, managing day-to-day delivery and supporting their development.
  • Own the delivery of analytics solutions for financial services clients, with a particular focus on property and mortgage data.
  • Work directly with clients to understand their challenges and translate these into data-driven solutions.
  • Present analytical insight to senior stakeholders, clearly explaining complex concepts to technical and non-technical audiences.
  • Partner with product and commercial teams to shape new features and propositions using data.
  • Support pre-sales activity by exploring client data, scoping solutions, and demonstrating the value of analytics.
  • Proactively identify trends, risks, and opportunities in client and market data to inform product and strategy.

Your Skills And Experience

You will be a strong fit if you have:

  • Solid commercial experience in analytics within financial services, mortgages, credit risk, or a closely related area.
  • Proven experience leading or mentoring analysts, with the ability to manage delivery across multiple projects.
  • Strong technical skills in Excel and SQL, with working knowledge of Python for analysis and modelling.
  • A data storytelling mindset, able to turn complex analysis into clear, actionable insight for clients.
  • Experience working with or alongside banks, mortgage lenders, or credit decisioning teams.
  • A highly numerate, analytical approach with a creative, problem-solving mindset.
  • Strong stakeholder skills, with confidence presenting to senior, technical and non-technical audiences.
  • An interest in property, housing, and mortgage markets.

What They Offer

  • Base salary up to £90,000, plus bonus and competitive benefits.
  • Hybrid working, with 2 days per week in the London office and set team time together on Tuesdays.
  • The chance to lead a high-impact analytics function with direct exposure to senior stakeholders and major financial institutions.
  • Clear progression opportunities as the analytics and product functions continue to grow.
  • A collaborative environment where new ideas, curiosity, and innovation are encouraged.

How To Apply

If you are an Analytics Manager, or a senior analyst ready to step up, and you are excited by the blend of client-facing work, team leadership, and hands-on analytics in London, apply with your CV to find out more.

To Apply for this Job Click Here

Lead Product Manager – Consumer Tech

London

£90000 - £110000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Lead Product Manager
London, Hybrid (2 days per week)
Up to 110,000 plus bonus

This is an opportunity to shape the next generation of intelligent, personalised consumer experiences at scale. You will lead product strategy for cross‑journey systems that help millions of users make better financial decisions, working at the intersection of product, data, and decisioning.

The Company

They are a fast‑growing consumer fintech with a mission to help people build long‑term wealth through simple, intuitive digital products. Their platform supports over a million users and is expanding rapidly across savings, investing, and future‑planning offerings. As they evolve toward more intelligent and personalised experiences, they are building new systems that integrate guidance, decisioning, and behavioural insight across the entire customer journey.

The Role

* Define how personalisation and intelligence are applied across product journeys and systems.
* Lead cross‑journey and cross‑product strategy, focusing on end‑to‑end customer experience rather than isolated features.
* Identify where intelligence adds genuine customer value and guide teams away from unnecessary or hype‑driven solutions.
* Partner closely with Decisioning, Data, Engineering, and other Product Leads to shape platform‑wide systems.
* Bring structure and clarity to complex, ambiguous problem spaces.
* Influence stakeholders across functions as a senior individual contributor.

Your Skills and Experience

* Strong experience delivering consumer product experiences at scale.
* Proven capability in personalisation, recommendation systems, or behavioural guidance.
* Ability to think in systems and journeys rather than standalone features.
* Comfortable working with data, decisioning, and ML‑adjacent teams without being a technical specialist.
* Pragmatic understanding of where AI and intelligence can and cannot add value.
* Confident operating in a cross‑functional environment with multiple stakeholders.

What They Offer

* Salary up to 110,000 plus a 15 percent bonus.
* Hybrid working with two days per week in a central London office.
* High influence role shaping greenfield systems and future product direction.
* Impact-led culture focused on helping customers achieve long‑term financial goals.
* Strong career progression within an experienced, product‑led organisation.

How to Apply

If you are excited by the opportunity to shape intelligent consumer experiences at scale, please apply with your CV.

To Apply for this Job Click Here

Senior Product Analyst

London

£50000 - £70000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Senior Product Analyst
London, Hybrid
Salary up to £70,000

This is a high impact opportunity for a Senior Product Analyst to shape data driven product decisions within a fast growing digital financial services environment. You will be embedded in product teams, influencing strategy through insight, experimentation and clear commercial thinking. The role offers real ownership, visibility and the chance to work on products used by a large and growing customer base.

The Company
They are a technology led financial services organisation building modern digital products with the customer at the centre. Data plays a critical role across the business, supporting product innovation, commercial decision making and customer outcomes. Analysts are highly embedded and trusted partners, working closely with product, engineering and leadership teams. The culture values curiosity, collaboration and thoughtful challenge.

The Role

  • Act as the analytics partner to product teams, shaping product strategy and priorities through insight
  • Define and embed clear metrics to measure product performance and customer outcomes
  • Analyse large, complex datasets to uncover trends, risks and opportunities
  • Design, run and evaluate experiments to inform product development and optimisation
  • Quantify trade offs across customer experience, revenue, cost and risk
  • Build dashboards and deep dive analyses to support ongoing decision making
  • Communicate insights clearly to both technical and non technical stakeholders

Your Skills and Experience

  • Strong commercial experience using SQL to analyse large and complex datasets
  • Experience working in data led product environments such as fintech, banking, or high growth technology businesses
  • Confidence using BI tools such as Tableau, Looker or Power BI
  • Ability to structure ambiguous problems into clear analytical approaches
  • Strong stakeholder communication skills with the ability to influence at all levels
  • A proactive, curious mindset with a focus on impact rather than perfection

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

To Apply for this Job Click Here

Head of Data Strategy & Governance

London

£130000 - £160000

+ Data Management & Governance

Permanent
London

To Apply for this Job Click Here

Head of Data Strategy & Governance
Central London – 2 days a week in office
Salary: £130,000 – £160,000

This is a senior data leadership role with genuine influence. You will take ownership of how data is governed, trusted and scaled across a fast-growing, technology-led financial services business. With data at the heart of decision-making, this role offers the opportunity to shape strategy, solve complex quality challenges, and build a robust operating model that supports long-term growth.

The Company
They are a technology-driven financial services organisation operating at the intersection of finance and data. Their platform brings together complex financial information to provide clients with a clear, holistic view of their finances and support better long-term decisions. The business has grown rapidly and continues to invest heavily in its data and technology capabilities. The culture is collaborative, delivery-focused, and values ownership and clarity.

The Role
As Head of Data Strategy and Governance, you will define and embed how data is owned, managed, and trusted across the organisation. You will work closely with technology, product, and senior stakeholders to ensure data quality underpins every insight and client outcome.

Key responsibilities include:

  • Defining and delivering the data strategy, operating model, and governance framework across the business
  • Establishing clear data ownership, standards, and accountability in a federated environment
  • Leading data quality initiatives to address real-world issues across multiple data sources
  • Building and maintaining a single source of truth, including data dictionaries and master data approaches
  • Overseeing the data platform within an AWS and Databricks environment, ensuring scalability and reliability
  • Providing strategic oversight of BI and analytics, partnering with teams to enable trusted reporting
  • Managing and developing a multi-disciplinary data team spanning operations, governance, and BI


Your Skills and Experience

  • Strong commercial experience in data strategy, data governance, and operating model design
  • Deep understanding of data quality management, controls, and frameworks
  • Experience working with modern cloud data platforms, including AWS and Databricks
  • Ability to translate complex data and governance concepts for technical and non-technical stakeholders
  • A pragmatic, delivery-focused mindset with the confidence to lead change in a scaling organisation
  • Background in regulated or data-intensive environments is beneficial


What They Offer

  • Competitive salary with flexibility depending on experience
  • Hybrid working with two days a week in a central London office
  • Private medical insurance with a comprehensive wellbeing and fitness programme
  • 25 days annual leave with the option to carry over additional days
  • Pension via salary sacrifice, plus access to multiple salary sacrifice schemes
  • Enhanced parental leave, mental health support, and a dog-friendly office
  • Study support, time for learning, and home working equipment on request
  • Clear scope for progression and influence, with potential equity reviewed after probation


How to Apply
If you are looking to lead data strategy and governance in a growing, data-led organisation, apply now to find out more.

To Apply for this Job Click Here

Head of Data Science

London

£150000 - £170000

+ Data Science & AI

Permanent
London

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Head of Data Science
London | Hybrid working (2 to 3 days in office) | £150,000 to £170,000 base salary

This is a rare opportunity for you to take ownership of a large, highly influential data science function within a profitable, data driven organisation where modelling and AI directly shape commercial outcomes. You will have executive level visibility, genuine autonomy, and the chance to define how data science and AI are applied at scale.

The Company

They are a well established UK fintech operating in the SME lending space, with data science embedded at the core of their decision making. The business is profitable, growing, and known for applying rigorous probabilistic and statistical models in production environments. Data science is not an advisory function here; it directly underpins lending decisions, forecasting, and commercial strategy across the organisation.

The Role

  • You will lead a multi team data science function spanning credit, product, and operations
  • You will set the strategic direction for how data science delivers measurable commercial value
  • You will scale and optimise ways of working, standards, and tooling across teams
  • You will partner closely with senior stakeholders across engineering, product, and commercial functions
  • You will drive AI adoption and transformation, focusing on productivity, efficiency, and decision quality
  • You will oversee hiring, development, and progression of managers and senior individual contributors
  • You will contribute to modelling, architectural, and probabilistic machine learning strategy where needed

Your Skills & Experience

  • Strong experience leading and scaling data science teams, including managing managers and senior ICs
  • Clear examples of commercial impact delivered through data science or AI initiatives
  • Experience working with models in production and understanding trade offs between rigour, speed, and value
  • Ability to operate strategically while remaining technically credible at model and methodology level
  • Recent experience driving AI adoption or transformation, with evidence of value created
  • Strong stakeholder management and communication skills with senior decision makers
  • Academic background in a quantitative discipline such as statistics, mathematics, physics, or similar

What They Offer

  • Base salary of £150,000 to £170,000
  • Hybrid working with 2 to 3 days per week in the London office
  • A senior leadership role with high autonomy and strong executive sponsorship
  • The chance to shape how data science and AI are applied across a profitable, scaling business
  • A comprehensive benefits package and long term progression opportunities

How to Apply
If you are a senior data science leader looking to drive impact at scale in a commercially focused environment, please apply to learn more.

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Head of Data Science

London

£150000 - £160000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

Head of Data Science

London, Hybrid working (2 to 3 days per week in office). Offering a competitive salary between £150,000 to £160,000 base.

This is a senior leadership opportunity to shape and scale a high impact data science function at the heart of a profitable, fast growing fintech. The role offers significant autonomy and the chance to influence how data science drives commercial decision making across an established UK business.

The Company

They are a London based fintech providing credit and financing solutions to small and medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator.

The Role

As Head of Data Science, you will lead a multi team data science function that underpins decisions across credit, product, operations and commercial strategy. Your focus will be on maximising the value of data science across the organisation while ensuring the function scales effectively.

Key responsibilities include:

  • Setting direction for the data science function and ensuring work is aligned to core business and profitability metrics such as customer lifetime value.
  • Leading, hiring and developing a large team of data scientists, including managers and senior individual contributors.
  • Improving efficiency, standards and ways of working across multiple data science sub teams.
  • Partnering closely with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making.
  • Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy.
  • Helping the business prioritise where data science delivers the greatest commercial impact.

Your Skills & Experience

  • Strong experience leading and scaling sizeable data science teams, including managing managers and individual contributors.
  • A track record of driving measurable commercial impact through data science in a complex business environment.
  • Experience operating in cross functional settings and influencing senior stakeholders.
  • Deep understanding of probabilistic modelling, statistics and machine learning, ideally grounded in an academic background such as mathematics, statistics, physics or a related field.
  • The ability to balance rigour with pragmatism, ensuring models and analysis deliver real world value.
  • Experience building or operating data science functions where work is deployed into production.
  • UK based experience and the right to work in the UK, with sponsorship available if required.

What They Offer

  • Competitive base salary of £150,000 to £160,000.
  • Hybrid working model with 2 to 3 days per week in the London office.
  • Significant autonomy and resource to shape the function and its future growth.
  • The opportunity to lead a large, well established data science team in a profitable and growing business.
  • Clear scope to influence strategy, structure and long term direction of data science across the organisation.

How to Apply

If this sounds like the role for you, apply below or email me at

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Head of Analytics

London

£120000 - £160000

+ Advanced Analytics & Marketing Insights

Permanent
London

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Head of Analytics

London, Hybrid

£90,000 to £160,000 plus bonus and benefits

This is a high-impact opportunity to shape a central Analytics function within a fast-growing, data-led organisation. You will lead a team at the heart of major transformation across analytics, AI, automation, and decisioning, giving you the scope to influence strategy while remaining hands-on.

The Company
They are a data-centric business investing heavily in analytics, AI, and modern data platforms. With strong commercial momentum and an evolving technology landscape, they are building out a central Analytics and MI capability to drive smarter, faster decision making. The organisation values innovation, collaboration, and the ability to turn data into meaningful insight.

The Role
You will lead a centralised Analytics and MI team, operating as a shared service across multiple business units including Finance, Marketing, and senior leadership.
Key responsibilities include:
* Evolving the function from reporting to actionable insight.
* Embedding AI tools into analytics workflows.
* Driving automation and improvements to data structures.
* Supporting the rollout of a new decision engine platform.
* Managing stakeholder relationships and prioritising work across diverse teams.
* Balancing leadership with hands-on analytical delivery.

Your Skills and Experience
* Strong experience leading Analytics or MI teams within a data-rich environment.
* Ability to translate data into clear commercial insight.
* Hands-on technical capability in SQL and Python.
* Familiarity with modern data tools such as Snowflake and Power BI or similar platforms.
* Experience using AI tools or automation in analytics workflows.
* Confident communicator with strong stakeholder management skills.
* Background in financial services is helpful but not essential.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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