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 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 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
Scorecard development Consultant
Leeds
£50000 - £75000
+ Risk Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
SCORECARD DEVELOPMENT CONSULTANT
LEEDS – HYBRID
UP TO £75,000
THE COMPANY
A global credit bureau with a strong analytics consultancy arm, known for delivering high-impact, data-driven solutions to lenders of all shapes and sizes – from high-street banks to fintech disruptors.
THE ROLE
- Building custom and generic application, behavioural, and collections scorecards
- Leading projects end-to-end: from data extraction and segmentation through to validation and presentation
- Working closely with clients to understand business objectives and risk appetite
- Using SAS or Python to develop models that drive credit decisioning and policy
- Supporting internal product innovation and next-gen modelling initiatives
REQUIREMENTS
- Proven experience building risk models (application/behavioural/collections) – ideally in a bureau, consultancy, or lender
- Strong technical toolkit: SAS, SQL, Python, or R
- Ability to manage client relationships and present technical content to non-technical stakeholders
HOW TO APPLY
Please apply below or send CV
To Apply for this Job Click Here
Credit Risk Manager- Portfolio Analytics
London
£70000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK MANAGER – PORTFOLIO ANALYTICS
LONDON
UP TO £100,000
Use your credit risk expertise to shape portfolio performance and drive smarter lending decisions at a fintech making waves in SME finance.
THE COMPANY
An established SME fintech lender backed by strong funding lines, ambitious growth targets, and a modern tech stack. With a strong presence in the UK market, they’re scaling fast – and looking for a commercially savvy Credit Risk Manager to lead on portfolio insights and performance analytics.
THE ROLE
you’ll take ownership of credit portfolio analytics and performance monitoring, providing actionable insights that shape risk appetite, policy, and product decisions.
- Tracking and analysing portfolio performance across products and customer segments
- Partnering with data science, product, and first-line credit teams to fine-tune risk strategies
- Building dashboards, models, and MI to surface trends and early warnings
- Identifying growth opportunities through better segmentation and pricing analysis
- Playing a key role in forecasting, stress testing, and regulatory submissions
REQUIREMENTS
- Strong background in credit risk analytics, ideally in SME lending, commercial finance, or unsecured products
- Expert with SQL and Excel; Python or R is a bonus
- Strong understanding of credit lifecycle KPIs – from approval rates to bad debt and recovery performance
HOW TO APPLY
Please apply below or send CV
To Apply for this Job Click Here
IRB Modelling Lead
London
£60000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
IRB MODELLING LEAD
£60-90,000 DEPENDENT ON EXPERIENCE
LONDON (FULL TIME ON SITE)
THE COMPANY
This company is an exciting start-up consultancy that are on a huge growth journey. They’ve made a great start to their growth and are looking for another modeller in the team due to continued success.
THE ROLE
- Lead the end-to-end development of IRB models across a range of clients
- Assist the wider team with broader model projects including application and behavioural scorecards
- Work closely with the model validation team to enhance model performance
- Manage a small team of analysts to drive the team to success and enhance performance of the business
YOUR SKILLS AND EXPERIENCE
- Essential to have experience developing or validating retail IRB models
- Coding experience in Python and SQL is essential
- Ability to own projects and lead on delivery
SALARY AND BENEFITS
- Up to £90,000 base salary
- Pension contribution scheme
- Private medical care
- Wider benefits package
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 DevOps Engineer
Leeds
£50000 - £60000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
SENIOR DevOps ENGINEER
£60,000 + BENEFITS
LEEDS (Hybrid)
Looking to take the lead on scalable Azure infrastructure, work with the latest in AI tooling, and mentor the next wave of DevOps talent?
THE COMPANY:
I’m working with a central data function in financial services that’s building a high-performing platform team at the core of their data strategy. With a strong push towards modern cloud architecture, they’re expanding their infrastructure capabilities and are looking for a DevOps Engineer to help scale and support new tools and systems.
THE ROLE:
You’ll take the lead on Azure DevOps strategy, collaborate closely with platform and data teams, and help roll out new AI tools in a secure, production-ready way. You’ll also play a key part in mentoring junior engineers and shaping the long-term DevOps roadmap.
- Architect and build scalable Azure infrastructure and deployment pipelines
- Lead integration of Databricks, Azure services, and CI/CD workflows
- Automate infrastructure using Terraform (IaC)
- Mentor junior DevOps engineer
- Establish and govern DevOps best practices, automation, and security standards
- Guide adoption of Microsoft’s new AI tools in production environments
YOUR SKILLS AND EXPERIENCE:
A successful Senior DevOps Engineer will have the following skills and experience:
- Experience with Azure
- Hands-on Terraform experience (IaC mindset is essential)
- Experience with CI/CD tools
- Experience integrating AI/ML pipelines
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £60,000 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
DevOps Engineer
Leeds
£40000 - £45000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
DevOps ENGINEER
£45,000 + BENEFITS
LEEDS (Hybrid)
Looking to sharpen your skills in Azure, work with emerging AI tools, and build cloud infrastructure that scales across modern data platforms?
THE COMPANY:
I’m working with a central data function in financial services that’s building a high-performing platform team at the core of their data strategy. With a strong push towards modern cloud architecture, they’re expanding their infrastructure capabilities and are looking for a DevOps Engineer to help scale and support new tools and systems.
THE ROLE:
You’ll work across infrastructure build, automation, and deployment, while collaborating closely with data and platform teams to support scalable, cloud-native solutions. You’ll also get exposure to cloud-based AI tools as they’re integrated into the environment.
- Support infrastructure build and deployment pipelines
- Automate infrastructure using Terraform (IaC)
- Collaborate with Data & Platform teams to scale cloud infrastructure
- Help integrate AI tooling from Microsoft/Azure into the platform
YOUR SKILLS AND EXPERIENCE:
A successful DevOps Engineer will have the following skills and experience:
- Experience/exposure with Azure
- Hands-on Terraform experience (IaC mindset is essential)
- Experience with CI/CD tools
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £45,000 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
Senior DataOps Engineer
Leeds
£50000 - £60000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
SENIOR DATAOPS ENGINEER
£60,000 + BENEFITS
LEEDS (Hybrid)
Looking for a role where you can take a step back, look across the whole data platform, and make it faster, smarter, and more cost-efficient?
THE COMPANY:
I’m working with a central data function in financial services that’s building a high-performing platform team at the core of their data strategy. With technically advanced teams spread across the business, this group plays a crucial role in making data work better-for everyone.
THE ROLE:
This is a strategic and operational role for someone who loves automation, performance tuning, and platform thinking. As a Senior DataOps Engineer, you’ll focus on improving the efficiency, observability, and cost-effectiveness of data pipelines running across a modern cloud stack.
- Take a “helicopter view” of the platform and monitor pipeline performance
- Identify bottlenecks, streamline processes, and optimise job run times
- Drive automation and reduce manual intervention across the platform
- Ensure pipelines are production-grade: scalable, monitored, and cost-efficient
YOUR SKILLS AND EXPERIENCE:
A successful Senior DataOps Engineer will have the following skills and experience:
- Strong hands-on experience with Azure
- Background in Data Engineering
- Experience with monitoring, observability, and resolving pipeline issues
- Experience automating workflows and improving data system reliability
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £60,000 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
Principal Data Engineer
Leeds
£70000 - £80000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
PRINCIPAL DATA ENGINEER
£80,000 + BENEFITS
LEEDS (Hybrid)
Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself?
THE COMPANY:
I’m working with a central data function in the financial services industry that’s undergoing a full modernisation of their data platform. They’ve got technically advanced teams across the wider business and are now building out a core engineering team to unify, elevate and support that community.
THE ROLE:
It’s a strategic, hands-on role where you’ll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines.
- Lead hands-on development work using Azure, Databricks, and Terraform (IaC)
- Support the migration from legacy platforms to a more modern cloud stack
- Act as a mentor and technical guide to the wider engineering team
- Implement data governance requirements
- Collaborate with non-technical stakeholders to ensure delivery aligns to business needs
- Stay close to the ML lifecycle
YOUR SKILLS AND EXPERIENCE:
A successful Principal Data Engineer will have the following skills and experience:
- Strong hands-on experience with Azure
- Proficient in Databricks
- Skilled in Terraform and Infrastructure as Code practices
- Exposure to containers/Kubernetes
- Awareness of ML Ops concepts
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £80,000 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
Head of Compliance – Lending
London
£100000 - £120000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
HEAD OF COMPLIANCE
£100-120,000 DEPENDING ON EXPERIENCE
REMOTE WITHIN UK
THE COMPANY
This is an exceptional opportunity to join a well-funded fintech startup at a pivotal moment in its journey. With backing from respected investors and a founding team experienced in launching and scaling high-growth ventures, the business is now entering a key build phase.
THE ROLE
- Take ownership of the credit compliance framework, driving high standards across affordability, creditworthiness, collections, and forbearance.
- Be the go-to strategic advisor for product and credit teams
- Shape the narrative by reviewing and approving all credit-related communications, terms, and policies to ensure they meet (and exceed) regulatory expectations.
- Lead the charge on compliance across the entire credit lifecycle-designing and executing robust monitoring plans that keep lending practices sharp and compliant.
YOUR SKILLS AND EXPERIENCE:
- At least 7 years’ experience within compliance within Banking or FinTech is essential
- Strong knowledge of UK credit regulation, including CONC, SMCR and Consumer Duty
- Good experience working with regulatory bosies including the FCA and FOS
- Prior SMF16 responsibility is highly desirable
SALARY AND BENEFITS
- Base salary from £100-12,000 depending on experience
- Company pension scheme
- Private medical care
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 analytics/ strategy specialist
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior credit risk analytics/ strategy specialist
London- hybrid
Up to £70k
You’ll sit in a lean risk team with high visibility and full ownership of strategy across the credit lifecycle. This means getting hands-on with data in SQL & Python, but also thinking commercially and helping shape how lending decisions are made.
THE ROLE
- Own and develop risk strategies across origination, pricing, limit management, and collections
- Use SQL and Python to extract, analyse, and manipulate large data sets to drive decision-making
- Design and optimise risk-based pricing, affordability assessments, and credit limit frameworks
- Work closely with product teams to embed credit risk logic into lending journeys and decisioning tools
- Partner with data science to develop, validate, and implement predictive models (e.g., scorecards, affordability models)
REQUIREMENTS
- Strong SQL and Python-you know how to pull and manipulate large datasets independently
- Proven experience in credit risk strategy within consumer lending or FinTech
- End-to-end understanding of the credit lifecycle
HOW TO APPLY
Please upload CV below
To Apply for this Job Click Here
Senior Decision Scientist – Credit Risk Modelling
£70000 - £100000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
Senior Data Scientist – Credit Risk Modelling
£70-100,000 (dependent on experience)
REMOTE WITHIN UK
THE COMPANY
This is an exceptional opportunity to join a well-funded fintech startup at a pivotal moment in its journey. With backing from respected investors and a founding team experienced in launching and scaling high-growth ventures, the business is now entering a key build phase.
As the first hire within credit risk, the organisation is seeking an experienced Lead Scorecard Modeller to take ownership of the design and development of all risk models and frameworks from the ground up. This is a highly strategic role offering significant autonomy, technical challenge, and visibility across the wider business
THE ROLE
- Design and build the company’s first scorecards – acquisition, behavioural, and collections
- Choose and justify modelling techniques (traditional, hybrid, or even ML-informed)
- Define the credit strategy and lending criteria from the ground up
- Partner with data engineering to ensure the data pipelines and feature stores support what you need
- Play a hands-on role in regulatory documentation, governance, and model risk management
YOUR SKILLS AND EXPERIENCE:
- Proven track record in developing credit risk scorecards, ideally across multiple lifecycle stages (e.g. application, behavioural, and collections)
- Strong statistical and analytical skills with proficiency in Python
- Understanding of regulatory requirements relating to credit risk, including model governance and validation
- Experience collaborating with cross-functional teams including data engineering and product
- Self-starter with the ability to operate autonomously and take initiative in an unstructured environment
SALARY AND BENEFITS
- Base salary from £70-100,000 depending on experience
- Company pension scheme
- Private medical care
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
IFRS9 Modelling Lead
Manchester
£60000 - £90000
+ Risk Analytics
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
IFRS9 MODELLING LEAD
£90,000
MANCHESTER/LONDON
THE COMPANY
This company is a unique digital lender who are seeking an experienced IFRS9 Modeller to join their close-knit and supportive team. The business are well known for their innovative and fast-paced culture, with this role offering an exciting opportunity to work in a varied position where you can gain exposure across the business whilst leading a small team.
THE ROLE
- Lead the end-to-end development of IFRS9 models across a range of products
- Assist the wider team with broader model projects including application and behavioural scorecards
- Work closely with the model validation team to enhance model performance
- Manage a small team of analysts to drive the team to success and enhance performance of the business
YOUR SKILLS AND EXPERIENCE
- Essential to have experience developing IFRS9 models
- Coding experience in Python and SQL is essential
- Prior management experience is desirable but not essential
- Ability to own projects and lead on delivery
SALARY AND BENEFITS
- Up to £80,000 base salary
- Pension contribution scheme
- Private medical care
- Wider benefits package
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 – 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
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