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
Decision Science Analyst
Leeds
£32000 - £40000
+ Risk Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
DECISION SCIENCE ANALYST
£32,000 – £40,000
LEEDS
A well-established financial services organisation is hiring a Decision Science Analyst to support the development of predictive models across strategy, pricing, litigation, and forecasting. This is a hands-on analytics role, ideal for someone looking to apply statistical and machine learning techniques in a structured, data-driven environment.
THE COMPANY
A nationally recognised organisation with a reputation for using data to drive smarter decision-making and improve customer outcomes. With a strong presence in the UK and a focus on innovation, the company invests heavily in analytics, technology, and people. Known for its collaborative culture and progressive approach, it offers the chance to work on meaningful projects that shape key business decisions.
THE ROLE
As a Decision Science Analyst, your day-to-day responsibilities include but are not limited to:
- Building predictive models using machine learning methods to improve forecasting and performance across key areas
- Presenting findings and translating complex analysis into actionable insights for senior stakeholders
- Identifying opportunities where data and analytics can drive better business outcomes
- Supporting strategy development through the delivery of robust, scalable analytical tools
- Collaborating with analysts to share best practices and enhance the team’s modelling capabilities
SKILLS AND EXPERIENCE
- Experience developing credit risk models using logistic regression or similar
- Knowledge of machine learning approaches such as random forest and clustering
- Proficient in Python
- Educated to at least university level with a STEM degree
THE BENEFITS
- £32,000+ base salary
- Discretionary annual bonus
- 3% flexible benefits allowance
- Life assurance
- Access to wellbeing programme
HOW TO APPLY
Please register your interest by sending your CV to Dominic through the ‘Apply’ link
To Apply for this Job Click Here
Head of Credit Risk Data Science
City of London
£120000 - £140000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
HEAD OF DATA SCIENCE
£120,000 – £140,000
LONDON
A fast-growing fintech lender is seeking a high-calibre Head of Data Science to lead their data-driven strategies across credit scoring, fraud prevention, and collections. This senior leadership role offers the chance to shape a next-generation lending platform in a high-growth environment.
THE COMPANY
This fintech is revolutionising the industry by embedding intelligent lending solutions into the customer journey. Backed by tier-one investors and experiencing rapid growth, they combine AI-powered credit assessment with a modern, mission-driven approach to lending.
THE ROLE
As Head of Data Science, your day-to-day responsibilities include but are not limited to:
- Leading credit, fraud, and collections analytics across the credit lifecycle
- Designing scalable data science models to improve lending performance
- Enhancing acceptance rates while maintaining strong credit quality
- Developing fraud detection techniques using cutting-edge algorithms
- Owning collections strategy and driving recovery improvements
- Collaborating with teams across product, risk, operations, and compliance
SKILLS AND EXPERIENCE
- 5+ years in data science or credit analytics in a financial service or fintech environment
- Strong background in credit risk and fraud strategy
- Experience with responsible lending regulations
- Proficiency in Python, SQL, and modern statistical/machine learning methods
- Experience building and deploying decisioning frameworks
- Comfortable working across multiple analytical domains and teams
THE BENEFITS
- £120,000+ base salary
- Equity/options package
- Private medical insurance
- Modern office with hybrid working model
HOW TO APPLY
Please register your interest by sending your CV to Dominic through the ‘Apply’ link
To Apply for this Job Click Here
Senior Pricing Analyst – Insurance
London
£55000 - £65000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR PRICING ANALYST – INSURANCE
£65,000
LONDON
Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.
THE COMPANY
This business are a lean and focused Insurtech who have a significant portion of the market. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with pricing modelling at the core.
THE ROLE
You can expect to:
- Develop cutting edge pricing models using Python and Machine Learning techniques
- Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
- Implement models into pricing strategy to enhance business performance
- Share insight with the wider team and helping to improve profitability across the business on ad hoc project work
YOUR SKILLS AND EXPERIENCE:
- At least 3 years prior experience in pricing analytics within insurance
- Good knowledge of Python is essential
- Prior model development experience is essential
- Prior experience with rate changes is essential
- Strong communication skills and desire to learn is key
SALARY AND BENEFITS
- Up to £65,000 base salary
- Discretionary bonus scheme
- Contributory pension scheme
- Remote-based work model
- 25 days holiday
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
Decision Science Modeller
Leeds
£30000 - £40000
+ Risk Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
DECISION SCIENCE MODELLER
£40,000
LEEDS
Great opportunity for a Masters/PhD graduate or an analyst/modeller with 1-2 years of experience in the financial services space to take on a scorecard, pricing and customer segmentation modelling role for a top financial institution in Leeds!
THE COMPANY
UK-based financial institution that acquires portfolios of unpaid consumer debt from various lenders, including banks and utility providers. The firm works with customers to recover outstanding balances through tailored repayment plans while emphasising ethical and compliant practices. Operating across several European markets, it positions itself as a responsible partner in consumer debt resolution.
THE ROLE
The role is a data science position focused on building scorecard and pricing models:
- Design and refine predictive analytics models by applying the most effective machine learning and statistical approaches.
- Deliver insights through clear presentations to both internal team members and broader business stakeholders.
- Build a strong understanding of business operations to pinpoint areas where data-driven strategies can add measurable value.
- Partner with colleagues to expand the team’s expertise in machine learning and foster continuous learning.
SKILLS AND EXPERIENCE
- Strong Master or PhD graduate in a STEM degree
OR
- 1-2 years of experience in a financial services modelling role
Must:
- Python experience
Nice to have:
- SQL
- Credit Risk experience
- ML experience nice to have
SALARY AND BENEFITS
- £40,000 base salary
- Discretionary Bonus
- Pension contribution
- Private Healthcare
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.
To Apply for this Job Click Here
Credit Risk Manager
London
£80000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK MANAGER
UP TO £100,000 + STOCK
LONDON
A top FinTech in the UK that Harnham have been partnered with for some time now are on the search for an Analytics Manager for the credit risk function. This position is a great opportunity to join a fast-growing business that provide amazing opportunities for development.
THE COMPANY
This FinTech became a very profitable business early on in their journey. They are known for being one of the top lending analytics companies in the UK offering unsecured and secured products. Experience at a company like this is second to none and invaluable.
THE ROLE
The role will involve working on one product for the business across the credit risk lifecycle
You can expect to be involved in the following day to day:
- Be hands on and be line manager within the team
- Oversee analysis, development and improvement for credit strategies
- Work across commercial and pricing strategies alongside credit risk analytics
- Wide scoping role involved analytics, strategy development and some model building
- Be hands on with data
SKILLS AND EXPERIENCE
- Experience working in sub or near prime credit risk ideal
- Experience analysing data and documenting trends to drive insight
- Strong commercial mindset
- Strong SQL skills – Python ideal too
- Experience working for a FinTech is ideal
- A strong university degree in a numerate discipline – will need to be a top degree in STEM
SALARY AND BENEFITS
- Up to £100,000 base salary
- Stock
- Private Healthcare
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.
To Apply for this Job Click Here
Lead Credit Risk Analyst
London
£60000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
LEAD CREDIT RISK ANALYST
UP TO £80,000 + STOCK
LONDON
A top FinTech in the UK that Harnham have been partnered with for some time now are on the search for a Senior/Lead Strategy Analyst for edit risk function. This position is a great opportunity to join a fast-growing business.
THE COMPANY
This profitable FinTech are known for being one of the top lending analytics companies in the UK offering unsecured products for consumers. Experience at a company like this is second to none and invaluable for any candidate’s CV.
THE ROLE
The role will involve working on a consumer lending product across the credit risk lifecycle
You can expect to be involved in the following day to day:
- Oversee analysis, development and improvement for credit strategies
- Work across commercial and pricing strategies alongside credit risk analytics
- Wide scoping role involved analytics, strategy development and some model building
- Be very hands on with data
SKILLS AND EXPERIENCE
- Experience working in credit risk analytics
- Experience analysing data and documenting trends to drive insight
- Strong commercial mindset
- Strong SQL skills – Python ideal too
- Experience working for a top FinTech is ideal
- A strong university degree in a numerate discipline – will need to be a top degree in STEM
SALARY AND BENEFITS
- Up to £80,000 base salary
- Stock
- Private Healthcare
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.
To Apply for this Job Click Here
Multi-Modal AI Specilist
London
£100000 - £135000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract – Multi-Modal AI Specialist (OpenAI CLIP) | Up to £650/day | Outside IR35 | Hybrid/Remote
We’re working with a leading global agency supporting a major financial services client on an innovative AI initiative. The project aims to predict the performance of creative campaigns before they go live, replacing traditional A/B testing with pre-launch modelling that leverages multi-modal data (images, video, and text) and customer research.
This is a hands-on contract role for a technically strong machine learning specialist with experience applying OpenAI CLIP. Using historical data, you’ll use open-source models to assess campaign creative and help deliver insights at both content and audience levels.
Key responsibilities:
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Apply OpenAI CLIP or similar models to campaign imagery, video content, and customer research (e.g., surveys)
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Build models that simulate campaign performance using historical data (backtesting)
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Pre-test creative content, score ad copy, and identify attributes driving success
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Work with customer data (NLP) and translate insights into model features
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Deliver post-campaign breakdowns by audience segment (e.g., high-value customers)
Must-have technical skills:
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Proven experience with OpenAI CLIP (essential)
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Strong track record with multi-modal AI (image, video, text)
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Solid Python programming skills
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Deep understanding of statistics and model evaluation
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Comfortable working with NLP and customer research data
Contract details:
-
Day rate: Up to £650/day
-
Outside IR35
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Initial office-based onboarding (1 week), then mostly remote
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3-month contract with potential to extend
-
Fast interview process: 30-min intro + 1-hour technical
Please send your CV if interested.
To Apply for this Job Click Here
Credit Risk Analyst – Collections Strategy
£35000 - £45000
+ Risk Analytics
PermanentEast Midlands
To Apply for this Job Click Here
CREDIT RISK ANALYST – COLLECTIONS STRATEGY
£45,000
EAST MIDLANDS
THE COMPANY
This company is a leading retailer in the UK that have a unique credit offering. This offers an excellent opportunity for someone with a year or two’s experience in the credit space to extend on their work within a successful and close-knit business.
HE ROLE
- Developing and building out their collections strategy and wider function
- Assessing existing collections policies and customer strategies to enhance performance
- Work and communicate closely with senior members and other teams within the business, including operations and underwriting
- Building out MI and wider reporting frameworks to monitor collections strategies and performance
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience in driving collections strategies within financial services
- Ideal to have developed collection strategies to enhance debt collection, reduce losses etc
- Experience using SQL or Python for data analysis is essential
SALARY AND BENEFITS
- Base salary of up to £45,000
- Free on-site parking
- Discretionary bonus
- Pension contribution scheme
- On-site amenities
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
Senior Credit Risk Portfolio Manager
London
£70000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR CREDIT RISK PORTFOLIO MANAGER
SALARY OF £90,000
LONDON, HYBRID WORKING
In this role, you’ll be given the opportunity to drive growth in an exciting Fintech, managing a considerable portfolio and informing strategic decision-making. You’ll work alongside a talented team and liaise with various teams across the business, leveraging your commercial acumen to impact a range of areas.
THE COMPANY
This Fintech is well-known for its leading financial solutions and innovative use of data to drive its consistent growth levels. You’ll be working in a talented team and will be able to learn from some of the top individuals in the space.
THE ROLE
- Monitor portfolio performance and proactively drive change to enhance where required
- Support the CCO in the development and management of the company’s credit risk appetite
- Inform lending decisions and support the development of the business’s funding strategy
- Be a key member of the risk committee and provide clear summaries of credit loss rates and credit risks
YOUR SKILLS AND EXPERIENCE
- Strong credit risk portfolio/strategy experience
- Proficiency in Python is essential
- Fintech experience is desirable
- SME lending experience is a strong preference
THE BENEFITS
- Competitive salary up to £90,000
- Hybrid working
- Bonus scheme
- Pension scheme
- Holiday entitlement
HOW TO APPLY
Please register your interest via the apply link on this page or send your CV directly
To Apply for this Job Click Here
Data Solutions Architect
London
£85000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Job Title: Data Solutions Architect
Location: London (Hybrid)
Salary: Up to £95,000
About the Role
We are looking for a Data Solutions Architect to join a dynamic organization, providing expertise in the design and development of data solutions for strategic technology initiatives. You’ll work on key projects, including data lakes, governance platforms, and asset data programs, collaborating with security and infrastructure teams to ensure seamless data integration within the enterprise architecture.
Role Overview
In this role, you’ll be responsible for designing scalable, secure data solutions and guiding teams through implementation. You’ll also collaborate with business stakeholders to define and document data requirements, ensuring successful project outcomes.
Key Responsibilities
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Lead the design and implementation of enterprise data solutions.
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Ensure data solutions optimize performance and availability for key business systems.
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Collaborate with business teams to define data requirements and oversee implementation.
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Research and evaluate emerging data technologies to drive innovation.
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Own and evolve data architecture principles in line with enterprise frameworks.
Skills and Experience
The ideal candidate will have:
Essential:
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Strong leadership and communication skills, with the ability to engage both technical and non-technical stakeholders.
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Expertise in designing data solutions and managing technological change.
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Experience with cloud-based data solutions (Azure, Microsoft Fabric).
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Knowledge of data mesh, BI, data warehousing, and business intelligence.
Desirable:
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Experience in digital transformation programs or data governance.
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Familiarity with Data Catalogs and working with third-party partners.
-
Experience in real estate, property, or similar industries.
Benefits
-
Competitive salary of up to £95,000, depending on experience.
-
Hybrid working
-
Opportunities for career development and growth.
How to Apply
If you’re an experienced Data Solutions Architect ready to drive change, apply with your CV or contact us for more details.
To Apply for this Job Click Here
IRB Modelling Manager
London
£75000 - £650000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
IRB MODELLING MANAGER
SALARY UP TO £75,000
FULLY REMOTE
In this role, you’ll be working within a talented team, managing the development of IRB regulatory models, delivering the design, development, and implementation of models. You’ll take ownership over model performance and compliance, ensuring enhancements are made accordingly.
THE COMPANY
This role is for a top bank based in the UK, providing innovative financial solutions to both consumers and businesses. You’ll work within a close-knit team, part of a wider function within the bank, meaning you’ll be able to gain exposure to a range of areas.
THE ROLE
- Delivering the design, development, and implementation of IRB regulatory models
- Work exclusively on the business lending portfolio, mainly loans.
- Act as the business banking modelling consultant for the team and wider senior stakeholders
- Deputise for senior management at stakeholder and committee meetings
YOUR SKILLS AND EXPERIENCE
- IRB model development experience
- Business lending experience
- 4+ years of experience
- Proficiency in either SAS, SQL, or Python
THE BENEFITS
- Competitive salary up to £75,000
- Remote working
- Discretionary bonus
- Strong pension scheme
- Holiday entitlement
HOW TO APPLY
Please register your interest via the apply link on this page, or send your CV directly
To Apply for this Job Click Here
IRB Modelling Manager – Business Lending
united kingdom
£65000 - £85000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
IRB MODELLING MANAGER – BUSINESS LENDING
£65-85,000
REMOTE WITHIN UK
THE COMPANY
This ambitious and employee-first financial services business are seeking an experienced candidate to lead IRB modelling across their Business Banking portfolio. This role offers the chance to be part of a small and collaborative team in a company with an excellent culture.
THE ROLE
- End to end development of IRB models for a range of business banking products, specifically PD models
- Working on wider model performance, identifying and implementing model enhancements
- Co-ordinating with other teams across the business to determine model specifications and drive insight into portfolio performance
YOUR SKILLS AND EXPERIENCE
- Essential to have experience in IRB model development, for business banking portfolios
- Strong knowledge and previous experience with SAS or Python or SQL
- Experience with asset or invoice finance is essential
- A broader background in financial services and lending
SALARY AND BENEFITS
- Up to £85,000 starting salary depending on experience
- Discretionary bonus
- Pension contribution scheme
- 38 days holiday
- Private medical scheme
- Flexible and remote-based work model
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
Industry Hub
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News & Blog
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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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