Credit Risk Modelling Jobs in the City of London

9 of 9 Credit Risk Modelling Jobs in the City of London

European Head Risk Analytics

City of London, London, United Kingdom
LevelUP HCS
Risk Analytics – Counterparty Credit Risk Quantitative Analyst Quantitative specialist for developing and managing analytics for counterparty credit risk models. Candidate will join the Risk Analytics group that partakes in model development over the full life-cycle of modes: from methodology to design to local implementation and validation. The successful candidate will also provide quantitative … risk analysis to support daily counterparty credit risk management. Responsibilities • Develop and implement analytics for counterparty credit risk management. • Build infrastructure to consolidate counterparty credit risk models across systems. • Perform quantitative research to implement model changes, enhancements and remediations. • Work with stakeholders across business and functional teams during model development process. • Create tools … and dashboards which can enhance and improve the risk analysis. • Conduct analysis on existing model short-comings and design remediation plans. • Maintain, update and back-test risk models. • Assess the methodologies and processes to identify potential weaknesses and the associated materiality of the risk Qualifications • At least a Master’s Degree in quantitative subject; PhD Degree is More ❯
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Head of Credit Risk IT

City of London, London, United Kingdom
Morgan McKinley
The Risk IT division manages and mitigates risks within financial markets, focusing on Market Risk, Credit Risk, and Market Data. Market Risk involves assessing and managing risks due to adverse price movements. Credit Risk focuses on evaluating and mitigating risks from borrower defaults. Market Data ensures the accuracy and timeliness of data for … risk analysis and decision-making. Job Purpose: The Head of Credit Risk IT leads the development, implementation, and management of technology solutions for credit risk management. This role oversees credit risk models, ensures data integrity, and provides strategic direction to enhance credit risk processes. Collaboration with cross-functional teams, compliance with … regulations, and driving innovation are key aspects of this role. Key Responsibilities:  Strategic Leadership: o Develop and execute the Credit Risk IT technology strategy. o Provide visionary leadership and foster a culture of innovation.  Technology Development and Implementation: o Oversee the design and implementation of credit risk models and systems. o Integrate advanced analytics and machine More ❯
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Head of Quantitative Risk Analytics

City Of London, England, United Kingdom
Cornwallis Elt
Head of Quantitative Risk Analytics – Quantitative Finance, Counterparty Credit Risk, Model Development, Model Validation, Risk Analysis, Python, R, SQL, Numerix, - City of London, Permanent A senior Quantitative Specialist is sought after by a Global Investment Bank to take ownership of their European Counterparty Credit Risk (CRR) modelling function, as part of the wider … Risk Analytics group. In this role, you will be responsible for managing the end-to-end modelling lifecycle, being responsible for methodology, model design and development, through to implementation and validation, helping support local Counterparty Credit Risk Management. This will be a multi-functional role, with responsibility for building and maintaining the modelling infrastructure and … work closely with the business and other quantitative specialists for a cohesive model development process, including the implementation of highly accessible tools and dashboards for users to effectively undertake risk analysis. To be successful, you will demonstrate: Minimum of a Master’s degree in the quantitative field, preferably having achieved a PhD A strong background in Quantitative Analysis and More ❯
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Quantitative Risk Analyst

City of London, London, United Kingdom
Hybrid / WFH Options
InterQuest Group
We're Hiring! | Quantitative Risk Analyst 🚨Up to £85,000 plus benefits and bonus 📍 Hybrid | 3 days in-office, London | Flexible working 🏦 Join a Leading Credit Risk Modelling Team! NO RELOCATION/SPONSORSHIP AVAILABLE - HOWEVER OPEN TO VISA TRANSFER IF ALREADY IN THE UK. Are you ready to take your quantitative skills to the next level … in a high-impact, regulation-driven environment ? We're on the lookout for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios. 💼📊 🧠 What You’ll Be Doing : ✅ Data analysis & model development for PD, LGD, and EAD ✅ Building scorecards & stress testing models ✅ Supporting IRB regulatory self-assessments ✅ Identifying data … problem-solving skills 🗣️ Excellent communication & report-writing abilities 🤝 A proactive team player ready to make an impact 🎯 Why Join? Work at the forefront of regulatory transformation Collaborate with experienced risk professionals Play a key role in shaping data-driven decision-making Hybrid working & supportive environment 📩 Ready to elevate your risk career? Apply now or message us to learn More ❯
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Machine Learning Engineer

City of London, London, United Kingdom
In Technology Group
London (2 days on-site) Salary: £60,000 - £80,000 + benefits About Us Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. Since 2020, they’ve grown to a 60-person team across the UK, closed our Series B, and are backed by top-tier investors including … and that’s where you come in. We’re now looking for a Machine Learning Engineer who’s ready to take ownership of production-level models that directly impact risk, underwriting, and transaction workflows. What You’ll Do: Design, build, and deploy ML models for real-time credit risk scoring, fraud detection, and dynamic pricing Architect and … XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow) Experience working with structured data (credit, payments, customer behaviour) and applying feature engineering at scale Understanding of model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP More ❯
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Senior Data Scientist

City of London, London, United Kingdom
Harnham
fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge … technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate across the business to deliver best-in-market solutions. This is a … hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with More ❯
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Senior Data Scientist

City of London, London, United Kingdom
Harnham
Data Scientist/Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered … offering customers faster, more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with non linear modelling. Strong educational background from More ❯
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Model Validation Manager

City of London, London, United Kingdom
Hybrid / WFH Options
Harnham
role, you’ll be leading a talented team of analysts to validate a range of models across the business, including ML, AI, IFRS9, and Forecasting. You’ll be leading Risk Assurance reviews and presenting high-level validation insights to senior leadership. THE COMPANY This Fintech is well known for its data-driven approach to both consumer and SME finance … from more traditional models like IFRS9 and Forecasting, to AI and ML models. Engage with model owners and developers to ensure validation findings are accurate and understood Lead the Risk Assurance reviews and produce committee papers to present to senior stakeholders YOUR SKILLS AND EXPERIENCE Strong experience in the Credit Risk Model Validation space AI Model knowledge More ❯
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Founding AI Engineer

City of London, London, United Kingdom
Impala Search
About the Company: Our client is on a mission to help fintechs and banks automate and enhance due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and credit risk models that protect billions in transactions at … top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and More ❯
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Credit Risk Modelling
the City of London
25th Percentile
£105,000
Median
£130,000
75th Percentile
£132,500
90th Percentile
£144,000