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
Senior Data Scientist
London
£50000 - £85000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
LONDON- HYBRID
UP TO £85,000
Join a top lending fitnech where you’ll sit within the Data Science function, but specifically focuses on the US lending portfolio, working with a high-impact team with plenty of ownership and autonomy!
THE ROLE
- Developing credit risk predictive ML models for US lending portfolios, primarily scorecard-based models
- Building and enhancing income models, early repayment models, and forecasting models
- Driving automation of lending decisions across the Loans portfolio
- Supporting Credit Card growth, including new acquisition scorecards as volume increases through upcoming Experian integration
- Owning the entire modelling process – from data extraction and feature engineering through to deployment (no separate engineering hand-off)
REQUIREMENTS
- Strong data science/ modelling experience using ML techniques
- Background in Financial services, Banking, Insurance or Gambling
- Strong Python
HOW TO APPLY
Please apply below or send CV

To Apply for this Job Click Here
Senior Credit Risk Analyst
£60000 - £80000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
SENIOR CREDIT RISK ANALYST
LONDON HYBRID OR FLEXIBLE WORKING OPTIONS
UP TO £80,000
Join a fast paced fintech who are on a mission to on a mission to simplify and reduce credit card debt. This is a super exciting Senior credit risk analyst role looking at aggregator performance and strategy.
THE ROLE
This is a high-impact, commercially focused role sitting at the heart of growth, pricing, and credit risk. You’ll take ownership of aggregator performance and funnel conversion, using data to drive smarter acquisition and better-quality lending outcomes.
- Owning end-to-end aggregator strategy, working across pricing, eligibility, and risk rules to maximise approval and conversion rates
- Analysing the customer acquisition funnel from aggregator click through to funded loan, identifying friction points and drop-off drivers
- Optimising pre-approval, credit policy, and pricing strategies to improve conversion while maintaining robust risk controls
- Partnering closely with Commercial and Product teams to test and refine aggregator propositions and journey design
REQUIREMENTS
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Proven exposure to pricing strategy and commercial optimisation
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Experience working with aggregators / price comparison platforms
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Confident working with SQL (and ideally Python or similar)
HOW TO APPLY
Please apply below or send your CV

To Apply for this Job Click Here
Commercial Analyst – FinTech
London
£60000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
COMMERCIAL ANALYST – FINTECH
£60-80,000
LONDON
THE COMPANY
This unique FinTech are growing significantly and have ambitious plans for their next phase. They pride themselves on a fast-paced and dynamic environment where you can really make a difference and the customer comes before profit.
THE ROLE
- Working closely with existing and new aggregators to improve performance and funnel conversion
- Developing pricing strategy and market analysis in order to drive profitability
- Working with large data sets to spot trends, identify opportunities for enhancement and more widely track business performance
- Conducting comprehensive pricing analyses and crafting actionable recommendations based on performance insights.
YOUR SKILLS AND EXPERIENCE:
- Prior experience working with aggregators within financial services is essential
- Experience developing pricing or commercial strategies
- Prior work in analysing data sets and driving insights into commercial outcomes
- Some experience using SQL
SALARY AND BENEFITS
- £60-80,000 base salary depending on experience
- Flexible working model
- Equity options
- 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
VP AI Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco
A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.
Mission
- Design and deploy agentic AI systems to automate and optimise large-scale production environments
- Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
- Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
- Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
- Integrate AI agents with observability, incident management, deployment, and runtime platforms
- Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
- Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming
Profile
- Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
- 7+ years of experience in applied ML, data science, or software engineering in production environments
- Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
- Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
- Experience building secure, explainable, and reliable AI systems with strong governance and auditability
- Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes

To Apply for this Job Click Here
Head/Director of Credit Risk
London
£100000 - £160000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF/DIRECTOR OF CREDIT RISK
£100,000 – £160,000 DEPENDING ON EXPERIENCE
LONDON
THE COMPANY
This role is with an exciting business in the consumer lending space. They have grown significantly over the past few years and are well established and set for the future. This role offers the opportunity to lead the ECM team to really build out this function and define the future growth of the business.
THE ROLE
- Developing and building out their existing customer strategy and wider function
- Assessing existing lending policies and customer strategies to enhance performance
- Work and communicate closely with senior members and other teams within the business whilst leading a small Credit Risk team
- Working closely with stakeholders and C-suite to drive the future direction of the business
YOUR SKILLS AND EXPERIENCE
- Experience working with Credit Cards is essential
- Prior experience leading Existing Customer Strategy (working with things like credit limit increase/decreases, repricing, cross-sell etc)
- Experience working with SQL
- Prior experience in managing a team
SALARY AND BENEFITS
- Up to £100-160,000 base salary depending on level
- Competitive bonus scheme
- Contributory pension scheme
- Flexible holiday scheme
- Hybrid 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
Senior Credit Risk Collections Analyst
London
£55000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR CREDIT RISK COLLECTIONS ANALYST
£80,000
LONDON
THE COMPANY
This client is a growing FinTech who are growing out their Credit Risk team. This is an exciting opportunity to take leadership over their collections portfolio, with remit over strategy, portfolio analytics and operations.
THE 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 for data analysis is essential
- Python exposure would be desirable
SALARY AND BENEFITS
- Up to £80,000 base salary
- Pension contribution scheme
- Health insurance
- Company bonus
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 Fraud Analyst
Birmingham
£40000 - £60000
+ Risk Analytics
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
SENIOR FRAUD ANALYST
£40-60,000 dependent on experience
BIRMINGHAM
THE COMPANY
This growing UK Bank are seeking an experienced candidate to lead hands-on analytical Fraud strategy and policy. This role offers an excellent opportunity to drive insight in a hands-on analytical role, whilst owning projects and profitability for the business.
THE ROLE
- Leading the development of fraud rules and strategies to reduce incidences of Fraud and further protect customers and the bank
- Manage and oversee fraud detection systems to ensure issues and risks are being actioned
- Analyse a range of customer data to drive insight into suspicious activity, customer trends and wider portfolio activity
- Wider trend analysis and data work to enhance business performance
YOUR SKILLS AND EXPERIENCE:
- Prior experience within fraud strategy is essential
- Prior experience working with Cifas, Hunter etc is desirable
- Essential to have had experience using SAS or SQL
- Python is desirable but not essential
SALARY AND BENEFITS
- Up to £60,000 starting salary
- Discretionary bonus
- Pension contribution scheme
- 26 days holiday
- Private medical 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
Head of Data Management
Nottingham
£90000 - £100000
+ Data Management & Governance
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
HEAD OF DATA MANAGEMENT
£90,000-£100,000
NOTTINGHAM (Hybrid)
This company is going through a massive transformation and is looking for a data leader who’s ready to rebuild how an organisation thinks about, governs, and uses its data from the ground up. This is a high-impact, highly visible position where you’ll be working closely with Senior Leadership to drive real change across data quality, privacy and compliance.
THE ROLE:
A Head of Data Management will need to:
- Own and deliver the enterprise Data Management Strategy
- Lead data stewardship
- Evolve and mature data governance
- Oversee the full data lifecycle
- Partner with senior leaders
YOUR SKILLS AND EXPERIENCE:
A successful Head of Data Management will have the following skills and experience:
- Strong experience with ETL, APIs and modern cloud data platforms
- Skilled in SQL and Python
- Knowledge of data quality tools
- Understanding of data governance frameworks, lifecycle management and architecture
- Experience working in regulated environments
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £100,000 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
IFRS9 Modeller
£45000 - £55000
+ Risk Analytics
PermanentLancashire
To Apply for this Job Click Here
IFRS9 MODELLER
£55,000
LANCASHIRE
THE COMPANY
This company is a growing retail company that have a unique credit offering. They are seeking a senior analyst to join their diverse team and help to enhance their products and work on a range of projects including growing their credit book.
THE ROLE
- Partner with Analytics and Impairment teams to develop, monitor, and optimise Credit Risk and Impairment models
- Analyse model movements and segment trends to identify opportunities and maximise performance
- Deliver clear MI and insight-led commentary to inform decisions and drive continuous improvement
- Communicate complex analysis with impact, influencing managers, teams, and senior stakeholders
YOUR SKILLS AND EXPERIENCE
- Essential to have knowledge of SQL and SAS or Python
- Essential to have developed or validated scorecards or IFRS9 models
- Strong communication skills and prior experience in communicating complex data
SALARY AND BENEFITS
- Base salary of up to £55,000
- Free on-site parking
- 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
Lead Model Validation Analyst
London
£65000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
LEAD MODEL VALIDATION ANALYST
£80,000
LONDON
THE COMPANY
This company is an exciting and profitable FinTech. They have an excellent culture and pride themselves on using data and analytics to enhance their lending ability.
THE ROLE
- Leading the end-to-end validation, analysis and reviews of models across the business
- Working with models including scorecards and IFRS9
- Driving the creation and review of validation reports, while collaborating closely with model developers and owners to ensure findings are clearly understood
YOUR SKILLS AND EXPERIENCE
- Essential to have validated models in the consumer lending space
- Coding experience in Python is essential
- Prior experience working with AI techniques is highly desirable
- Experience working within a FinTech is highly desirable
SALARY AND BENEFITS
- Up to £80,000 base salary
- Company bonus scheme
- 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
Head of Credit Risk – Mortgages
London
£90000 - £120000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF CREDIT RISK – MORTGAGES
UP TO £120,000 + EQUITY
LONDON
A rapidly growing UK fintech delivering ethical, shariah-compliant home finance solutions as an alternative to traditional mortgages. The company’s core offering enables customers to purchase and refinance residential property without interest through a co-ownership Home Purchase Plan certified under Islamic finance principles, combining modern technology with accessible underwriting. It is FCA-regulated and focused on making home ownership fairer, more inclusive, and aligned with diverse customer values.
THE ROLE
You can expect to be involved in the following day to day:
- Lead and continuously evolve the credit risk strategy, ensuring a clearly defined risk appetite aligned with sustainable growth objectives
- Own credit risk oversight across core residential and investment property lending portfolios
- Provide senior credit risk leadership on the design and launch of new lending products, including short-term and commercial real estate finance
- Balance commercial growth ambitions with robust risk governance, controls, and decision-making frameworks
- Act as a key senior stakeholder within a fast-growing, purpose-driven financial services organisation
SKILLS AND EXPERIENCE
- Mortgages/Property Finance experience in credit risk analytics is a must
- Senior Manager+ level of experience
- Strong numerical degree
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 Model Manager
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK MODEL MANAGER
£70,000
LONDON
This role is an exciting opportunity to join a well-known consultancy in a time of growth. This position offers the chance to work on a broad range of projects and use Python as this is rolled out across the business.
THE COMPANY
This client is an established consultancy who specialise in analytics, with this role focusing specifically on credit risk model monitoring and audit. You could work with a range of businesses across the UK including banks and FinTechs. This is a really exciting time for the business as they implement Python and AI, offering the chance to get involved in this when not on project work.
THE ROLE
Your work will vary significantly based on projects, however you can expect to:
- Analyse and monitor a range of models including IFRS9, IRB, Stress Testing and wider credit risk models
- Work on model validations, audits, oversight and wider implementation
- Use Python for client work as the business roll this out across teams
- Work on climate risk analysis and wider monitoring
YOUR SKILLS AND EXPERIENCE
- Prior experience with Scorecards,IFRS9 or IRB models in either a development or validation role
- Strong knowledge and experience using Python
- Excellent communication skills and experience working closely with stakeholders
- Educated to at least degree level in a numerate degree
SALARY AND BENEFITS
- Up to £70,000 base salary
- Discretionary bonus
- Private health insurance
- Pension contribution scheme
- Cycle to work 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
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