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 specialists 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) 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 organisations such as the Securities and Exchange Commission (SEC) and must pass the Financial Industry Regulatory Authority (FINRA) exams. The US undoubtedly has a big focus on consumer protection. Data Scientists and Analysts in the US BFSI sector may also work on areas such as Risk modelling, Fraud detection, and customer segmentation. In the US job market, certification is frequently used as a pathway to career progression and success. One such example is the highly regarded Chartered Financial Analyst (CFA) certification offered by the esteemed CFA Institute. By obtaining this certification, individuals may increase their likelihood of professional advancement and garner greater opportunities for achievement.
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, optimise 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!
INDUSTRY CANDIDATES
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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 visualisation tools like Tableau or Power BI. Familiarity with statistical techniques, data modelling, 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 analyse 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.
- 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 what 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 organisations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organisations, Data Science has become an essential tool to analyse 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 modelling techniques to develop predictive models that help organisations 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 modelling techniques to identify potential risks and mitigate them before they become a problem. This helps organisations minimise losses and maintain financial stability.
Another benefit of Data Science in the BFSI sector is improved customer experience. By analysing customer data, organisations can understand their preferences and behaviour, and use this information to offer personalised products and services that meet their needs.
Data Science is imperative in the BFSI sector. By helping organisations 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, analysing, and visualising large amounts of data to provide insights that help BFSI organisations 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 organisations 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 modelling, Analytics, and visualisation 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 organisation. They play a critical role in helping BFSI organisations 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 organisations 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 organised, 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 organisation, 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 organisation's goals and objectives.
However, it's not just about crunching numbers and analysing 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 organisation. 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 organisations to make informed decisions in the face of uncertainty.
BFSI organisations 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 maximisation.
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 modelling, 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 organisational success. You will help identify potential risks and opportunities, guide decision-making, and keep organisations competitive in today's ever-changing business landscape. Expect the unexpected, analyse 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 behaviour, preferences, and needs. Armed with these invaluable insights, organisations 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 behaviour and preferences takes centre stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organisations 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 modelling, and a maestro in data visualisation. 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 organisations. Your prowess in unearthing customer behaviour, 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 Banking
DATA JOBS
Data Scientist – Credit
London
£55000 - £65000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Data Scientist – Credit Risk
£55-65,000
London
THE COMPANY
This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.
THE ROLE
- Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
- Own the deployment and implementation of predictive models across the product suite
- Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models, ideally within credit risk
- SQL and Python experience is essential
- Essential to have experience using Machine Learning techniques to develop non-linear models
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech
SALARY AND BENEFITS
- Base salary from £55-65,000
- Company pension scheme
- Private medical care
- Equity scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Principal AI Platform Engineer
Sheffield
£85000 - £90000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
PRINCIPAL AI PLATFORM ENGINEER
Up to £90,000 + BENEFITS
SHEFFIELD (Hybrid)
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
- Build and operate production‑ready AI agents on GCP
- Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
- Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
- Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
- Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
- Deep hands‑on expertise with GCP services
- Strong Python skills
- Practical experience with LLMs, embeddings, RAG architectures and vector databases.
- A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
- DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.
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
Strategy Analyst
Southampton
£40000 - £50000
+ Risk Analytics
PermanentSouthampton, Hampshire
To Apply for this Job Click Here
Operations Strategy Analyst
£40,000-£50,000
Southampton + hybrid working
Harnham are working with a growing UK consumer lender looking to hire a Strategy Analysts into their expanding analytics function.
THE COMPANY
- This is a well-established FinTech operating across the UK personal lending space, offering both near-prime and prime loan products.
- They have a strong reputation for data-led decisioning and continue to scale their operational analytics capability.
- With a collaborative culture and consistent investment in analytics, they offer strong long-term career growth.
THE ROLE
You will sit within the Operations Analytics function, supporting data-driven decisioning across the full customer lifecycle. The role bridges data analytics and operational strategy, working closely with risk, credit, collections and wider commercial teams.
Specifically, you can expect to be involved in:
- Analysing customer behaviour and operational performance across originations, underwriting, account management, collections and fraud.
- Developing insights that inform operational strategy and improve customer outcomes.
- Supporting modelling work within collections to optimise customer contact and repayment strategies.
- Delivering analysis on projects such as marketing performance, customer acquisition and process optimisation.
- Communicating findings to both technical and non-technical stakeholders.
YOUR SKILLS AND EXPERIENCE
- Strong SQL skills and experience using a data visualisation tool.
- Background in analytics from lending, financial services or a similar data-driven environment.
- Experience working on end-to-end analytical projects, from data extraction through to insight delivery and stakeholder communication.
- Strong academic background with a keen interest in operational and credit analytics.
- Confident communicator with the ability to explain technical concepts to non-technical audiences.
- Experience with cloud environments (e.g., AWS) is beneficial but not essential.
THE BENEFITS
- Broad exposure across the full lending lifecycle.
- High visibility across the business and strong progression opportunities.
- Collaborative culture within a growing FinTech environment.
- Opportunity to shape and influence operational data strategy.
THE PROCESS
- Initial 30-minute introductory meeting.
- On-site interview including a presentation, technical questions and stakeholder interaction.
- Final meeting with senior leadership.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Fraud Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Fraud Analyst
London, hybrid (3 to 4 days in office)
£45,000 to £50,000
A great opportunity to join a fast‑growing lender as they expand into new lending. You will shape fraud controls from the ground up and make a visible impact in a data‑focused, agile environment.
The Company
They are a high‑growth financial services business building modern lending products for the UK market. With strong investment and recent profitability, they are now scaling a new product. You will join a collaborative team where data sits at the centre of decision making.
The Role
* Analyse fraud patterns, behaviours and anomalies.
* Develop, test and optimise fraud rules.
* Report on emerging fraud types across new products.
* Use SQL and fraud tools to generate insights and recommendations.
* Improve fraud processes as they scale their lending portfolio.
Your Skills and Experience
* Strong experience working with fraud data, rules or controls.
* Proficiency in SQL.
* Exposure to tools such as ThreatMetrix or CIFAS is beneficial.
* Comfortable analysing data and providing clear, concise insights.
What They Offer
* £45,000 to £50,000 salary.
* Bonus, pension scheme, private medical
* High visibility, fast decision making and strong progression opportunities.
How to Apply
Apply now to be considered for this opportunity.
To Apply for this Job Click Here
Fraud Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Fraud Analyst
£45,000-£50,000
London + hybrid working (3-4 days per week in the office)
Harnham are working with a fast‑growing UK consumer lender seeking a Fraud Analyst to support the launch and scaling of new lending products.
THE COMPANY
- A high growth UK lending scale‑up offering innovative credit products across secured and unsecured markets.
- Backed by significant investment and entering a major expansion phase after achieving profitability.
- Operates in a fast‑paced, agile environment with strong opportunities for progression and impact.
THE ROLE
This is a hands on analytical role within a developing fraud function, supporting the design, monitoring and optimisation of fraud controls for new and existing lending products. You’ll work closely with credit, operations and product teams as the business expands into new areas.
Specifically, you can expect to be involved in:
- Analysing fraud trends, patterns and behaviours to identify emerging risks.
- Developing and implementing fraud rules and controls as product volumes grow.
- Reporting on fraud performance and making data‑driven recommendations.
- Supporting the management of new fraud types associated with unsecured lending.
- Using fraud prevention tools and contributing to wider risk initiatives.
YOUR SKILLS AND EXPERIENCE
- 1-2 years’ experience in fraud analytics or fraud data analysis within financial services or a similar environment.
- Ability to work with customer or fraud data to generate insights.
- Understanding of fraud rules, controls, prevention tools or fraud related reporting.
- SQL skills (essential).
- Experience with fraud platforms such as ThreatMetrix or CIFAS (beneficial).
- Python experience (advantageous).
THE BENEFITS
- Join a small, growing team with real scope to influence strategy and controls.
- Clear progression pathways in a rapidly scaling business.
- Exposure to a broad range of fraud, credit and product related projects.
- Agile environment with short decision cycles and minimal bureaucracy.
THE PROCESS
- Initial 30‑minute interview with HR.
- 30‑minute interview with a senior team member.
- Final in‑person stage including a short case‑study discussion and a meeting with senior leadership.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Credit Risk Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK ANALYST – FINTECH
£45-50,000
LONDON
THE COMPANY
This exciting and unique FinTech are in a period of growth and are keen to add to the team to help them with the next stage of their journey. They are a dynamic and fast-paced business who are about to launch a new product and really value impact and innovation.
THE ROLE
- Developing and driving lending strategies across the business
- Work across a range of areas including pricing, profitability, affordability and broader lending decisions to add growth and commercial improvements across the business
- Analysing wider portfolio performance to drive innovation and forecast future developments
- Working closely on decisioning and enhancing score cut-offs
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience within consumer lending, ideally FinTech
- Strong experience in developing and leading implementation of credit risk strategies or wider portfolio analysis
- SQL experience is essential, Python would be desirable
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech
SALARY AND BENEFITS
- Up to £50,000 base salary
- Flexible working model
- Discretionary bonus
- Pension scheme
- Broad benefit scheme including medical cover
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Credit Risk Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Credit Risk Analyst
£45,000-£50,000
London + hybrid working (3-4 days per week in the office)
Harnham are working with a fast growing UK lender in the secured and unsecured lending space, hiring a Credit Risk Analyst to support their next phase of growth. This is a great opportunity for an early career analyst to join a business launching new products and scaling rapidly.
THE COMPANY
- A high growth UK lending scale‑up offering innovative consumer credit products.
- Recently reached profitability and now entering a major expansion phase, including the launch of a new unsecured loan product.
- Operates in a fast paced, low bureaucracy environment where analysts can make a real impact.
THE ROLE
This role sits within a growing credit risk function and will focus on shaping acquisition strategies, underwriting policy and supporting the launch of new lending products. You’ll work across a broad variety of projects within credit risk, with the opportunity to develop modelling and decisioning skills.
Specifically, you can expect to be involved in:
- Developing and optimising credit strategies for new customer acquisition.
- Working on origination, scoring cut‑offs and accept/decline policies.
- Enhancing and maintaining decision engine logic.
- Contributing to credit modelling and wider analytics where appropriate.
- Using data to support improvements across the full credit life cycle.
YOUR SKILLS AND EXPERIENCE
- 1-2 years’ experience in credit risk, financial services analytics, or similar data‑driven environments.
- Experience working with customer or credit data to generate insight.
- Familiarity with credit strategy, policy, scoring, MI or portfolio analytics.
- Strong SQL skills (essential).
- Python and data visualisation tools beneficial.
THE BENEFITS
- Opportunity to have real influence in a small, high growth team.
- Strong progression potential with clear internal development pathways.
- Exposure to a wide range of credit products and analytics projects.
- Fast‑moving environment with the ability to implement change quickly.
THE PROCESS
- Initial 30‑minute interview with HR.
- 30‑minute interview with a senior member of the credit team.
- Final in‑person stage including a short case‑study discussion and meeting with senior leadership.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
BI Analyst
London
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
BI Analyst
London – 3 days in the office
£45,000 to £50,000 plus benefits
This is a great opportunity to join a fast‑growing digital lender where you will work at the intersection of data, credit strategy, and product innovation. You will play a meaningful role in shaping credit decisioning and analytical capability within a business that places data at the centre of every decision.
The Company
They are a high‑growth financial services organisation building next‑generation lending products for homeowners across the UK. With a strong culture of ownership, innovation, and collaboration, they are scaling their credit, data, and technology functions to support continued expansion. Their environment suits people who enjoy autonomy, problem‑solving, and making an immediate impact.
The Role
You will work with credit risk, data, product, and engineering teams to deliver accurate, insightful analysis and reporting. Your work will directly support credit strategy, performance monitoring, and new product initiatives. Responsibilities include:
- Collecting, structuring, and validating data from internal and third‑party sources.
- Building dashboards, reports, and automated data pipelines to monitor portfolio and business performance.
- Analysing customer behaviour, portfolio trends, and decision outcomes to identify risks and opportunities.
- Turning analytical findings into clear, actionable recommendations for non‑technical stakeholders.
- Supporting the testing and monitoring of new credit policies, strategies, and decisioning engines.
- Ensuring data accuracy, consistency, and adherence to governance standards.
Your Skills and Experience
- Strong commercial experience in data analysis or business intelligence, ideally within lending or a fast‑paced tech environment.
- High proficiency in SQL for extracting, transforming, and structuring data.
- Experience with visualisation tools such as Power BI, Tableau, Looker, or similar.
- Ability to communicate insights clearly and collaboratively with stakeholders across the business.
- A curious, proactive mindset, with a drive to improve reporting processes, data quality, and decision‑making.
- Comfortable working in an evolving environment where you take ownership and navigate ambiguity.
What They Offer
- £45,000 to £50,000 base salary, plus discretionary bonus.
- 25 days annual leave plus bank holidays.
- Flexible working and work‑from‑anywhere allowance.
- Growth shares and benefits designed to support wellbeing, learning, and development.
- Opportunities to expand your career across credit risk or data engineering within a growing team.
How to Apply
If this BI Analyst role sounds like the right next step, please submit your application today.
To Apply for this Job Click Here
Senior Impairment Analyst
London
£65000 - £85000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR IMPAIRMENT ANALYST
£85,000
LONDON
THE COMPANY
This award-winning FinTech is a leader in the lending space. They have consistently grown over the past few years and offer a fast-paced, dynamic environment at the forefront of the market. This role is an opportunity for someone to really challenge themselves within their career and drive impact in a business which can take your career to the next level.
THE ROLE
- Monthly reporting and wider provisioning for impairment models across the bank
- Understanding and analysing impairment impacts across the business and products
- Designing controls for the impairment calculation process
- Working closely with other teams in the business to drive insight and innovation
YOUR SKILLS AND EXPERIENCE
- Strong knowledge of impairment processes and IFRS9 regulations
- Essential to have had experience using SQL or Python
- Ideal to have had prior experience in IFRS9 model monitoring, implementation or similar
- Educated to at least degree level in a statistical degree
SALARY AND BENEFITS
- Up to £85,000 base salary
- Flexible working model
- Discretionary bonus
- Broad benefit scheme including medical cover
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Fraud Insights Manager
London
£75000 - £95000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Fraud Advisory and Insights Senior Manager
London, hybrid
£76,000 to £95,000 per annum plus benefits.
The Company
They are a UK retail bank offering personal and business products across digital and traditional channels. The organisation is progressing through a multi‑year integration journey, creating new challenges and opportunities for strengthening fraud controls. The team sits within the first line, focusing on fraud prevention, insight, and regulatory alignment
The Role
* Lead a team delivering fraud advisory, insight, and regulatory engagement.
* Act as a key contact for regulators, preparing responses and representing the bank in meetings.
* Review products, changes, and customer journeys to identify fraud risk and recommend controls.
* Provide expertise across payments, cards, lending, applications, mobile, telephony, and mule activity.
* Support change programmes, ensuring risks are understood early and managed effectively.
* Shape MI, key indicators, and reporting improvements.
Your Skills and Experience
* Strong commercial experience in retail banking fraud risk.
* Broad knowledge across core fraud typologies and channels.
* Understanding of PSD2, APP fraud obligations, and payment regulation.
* Experience engaging with regulators and senior stakeholders.
* Able to lead specialist teams in a dynamic, evolving environment.
* UK experience required.
What They Offer
* £76,000 to £95,000 depending on experience.
* Comprehensive benefits package including pension and healthcare.
* FTC role supporting a high‑profile integration programme.
* Hybrid working (no remote‑only contracts).
How to Apply
If this sounds like a good fit, apply now.
To Apply for this Job Click Here
Senior Fraud Manager- Advisory and Insights (12 months FTC)
£75000 - £95000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
SENIOR FRAUD MANAGER- ADVISORY AND INSIGHTS – 12 MONTH FTC
UK- VARIOUS LOCATIONS & HYBRID
UP TO £95,000
I’m working on a fantastic opportunity with a leading UK retail banking organisation looking for a Senior Fraud Advisory & Insights Manager to join their Economic Crime team during an exciting period of integration and transformation.
THE ROLE
- Act as the fraud SME across change and transformation programmes
- Attend control boards and ensure fraud risks are designed out of customer journeys early
- Support payment supplier and platform change governance
- Lead engagement with regulators including FCA / PSR
- Support responses to regulatory requests and findings
- Conduct gap analysis following regulatory feedback and industry developments
- Provide guidance on Consumer Duty, PSD2 and payment regulation compliance
- Provide subject matter expertise across all fraud typologies and customer channels
- Support development of fraud MI, KPIs and reporting automation
REQUIREMENTS
- Strong UK retail banking fraud experience (essential)
- Broad fraud knowledge across cards, payments, lending, digital and mule risk
- Regulatory exposure (FCA / PSR / payment scheme knowledge)
- Experience influencing senior stakeholders
- Strong MI / data storytelling capability (Power BI desirable)
- Ability to operate in a fast-paced, less structured environment
HOW TO APPLY
Please send CV or apply below
To Apply for this Job Click Here
Director of Decision Science
London
£120000 - £150000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Director of Decision Science
London, hybrid working (3 days in office)
£120,000 – £150,000
The Company
They are a data‑driven FinTech who are growing well. With continued global expansion, investment in analytics and their models is a key priority and this role would allow you to lead from the front and create impact across the business.
The Role
* Lead end to end development of underwriting and acquisition models.
* Set modelling standards, quality controls, and documentation practices.
* Oversee deployment with MLops
* Work closely with engineering, product, commercial, and data teams.
Your Skills and Experience
* Strong hands on experience building models in Python.
* Background in credit risk, rating agency modelling, or customer behaviour modelling.
* Confident communicator with senior stakeholders.
* Leadership experience in technical teams.
* Experience with XGBoost or other boosting techniques.
* Knowledge of MLOps or R is a plus but not essential.
What They Offer
* £120,000 to £150,000 base salary.
* Bonus
* Share options.
* Hybrid working, three days per week in a London office.
How to Apply
If you are interested in this opportunity, please submit your application
To Apply for this Job Click Here
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How Fraud Analytics Can Keep Your Money Safe
How Fraud Analytics Can Keep Your Money Safe We’ve previously written about how data analytics can help…
Resume Tips for Professionals in Risk Analytics
Resume Tips for Professionals in Risk Analytics There are a number of online guides about how to…
As Incidents Of Cybercrime Increase, How Can A Fraud Analyst Give Your Business Peace Of Mind?
Whilst it’s true that cybercriminals are becoming more creative and sophisticated, as are analytical techniques and the experts that wield them. Fraud Analysts…
What Skills And Attributes Do You Need To Become A Risk Analyst?
No business is risk-free and as we traverse a highly technical and ever-evolving working landscape, the number of areas where problems, perhaps even crises, may…
Risk Analytics Landscape: 2022 | Harnham Recruitment post
2022 is set to be an interesting year for Risk Analytics. According to research, the risk analytics market is expected to be worth around $54.95bn by 2027 and…
How Big Data and Risk Analytics Can Help Fight Climate Change | Harnham US Recruitment post
Data is all around us. We use it to calculate our calories and our steps to ensure a healthy body. We use it track our packages and ensure delivery to the right…
Key Fraud Trends: How to Stay Safe in the Changing Fraudscape | Harnham Recruitment post
Sharing and collecting data is part of our everyday lives. Whether our information is shared over social media, e-commerce sites, banks, or elsewhere, this can…
A new way to pay- Fintech innovation at the point of sale | Harnham Recruitment post
Instant transfers, real-time payments, virtual banks, and digital currencies – these are just a few of the ways fintech innovation has been booming in the last…
Why choose a career in credit risk | Harnham US Recruitment
Credit Risk Analyst | Has your education and work experience have given you solid skills in diligence, quantitative analysis, computer software and communication?
How marketing analytics works for banks | Harnham Recruitment post | Harnham Recruitment post
Martin Brennan, Customer Insight Manager with Permanent TSB discusses how Customer intelligence software helps | Credit Card Marketing Analytics..
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Harnham is one of the leading data recruitment companies in the world, and we are dedicated to helping data professionals find their ideal data job.
We're proud to have access to a global network of top employers and recruitment partners, and our team specialize in connecting data professionals to the right data and analytics career opportunities.
Whether you're looking for an entry-level data job or a senior-level analytics position with a top employer, we have the right opportunity for you. Search now to find the perfect data job to match your technical skills and industry experience.
We also provide a variety of career support services, such as resume and interview preparation, to help data professionals get the most out of their job searches. Follow us on LinkedIn for all the latest news and content: