14 of 14 Remote/Hybrid Credit Risk Jobs in the UK

Role We are a collaborative team of consumer data experts with a track record of leading innovation and successfully building companies in the consumer credit information space. We work hard, deliver positive outcomes to our partners and the consumers they serve, and have fun while doing it. … ownership of existing strategic accounts while opening doors to new enterprise opportunities in the UK Financial Services market. You'll need deep expertise in credit risk products and the UK bureau landscape. The kind of expertise where you can discuss technical product capabilities with a Chief Risk ...

Role We are a collaborative team of consumer data experts with a track record of leading innovation and successfully building companies in the consumer credit information space. We work hard, deliver positive outcomes to our partners and the consumers they serve, and have fun while doing it. … ownership of existing strategic accounts while opening doors to new enterprise opportunities in the UK Financial Services market. You'll need deep expertise in credit risk products and the UK bureau landscape. The kind of expertise where you can discuss technical product capabilities with a Chief Risk ...

Infact are a progressive, fast-moving, credit referencing start-up. We see great opportunities to combine foundational statistics with modern AI to find meaning in consumer finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver … model and when to deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into a holistic view. Your work will directly help ...

Infact are a progressive, fast-moving, credit referencing start-up. We see great opportunities to combine foundational statistics with modern AI to find meaning in consumer finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver … model and when to deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into a holistic view. Your work will directly help ...

SENIOR CREDIT RISK MANAGER £110,000 LONDON THE COMPANY This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers ...

leading Investment Bank client are looking for a talented and motivated individual to take responsibility for developing, documenting, and monitoring Credit Risk models for their EMEA region. You'll take initiative on activities supporting Regulatory and Internal Capital Assessments such as ICAAP, ICARA and others, as well … developing innovative solutions in climate risk modelling and scenario analysis exercise. The team is high performing yet supportive, with great management. A brilliant opportunity! The following skills/experience is required: Strong background in Credit Risk Model development Degree in Quantitative subject (Finance, Mathematics, Economics, Engineering ...

working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving … statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache ...

working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving … statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache ...

working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving … statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache ...

placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache ...

placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache ...

placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache ...

plus bonus and pension Location: London City and home working hybrid- 50/50% Requirements: Java, React, UI Skills, business knowledge in derivatives/risk and pricing We're looking for a Software Engineer for our front office suite of application supporting trading, marketing, trade analysis and research. … React as front end and Java 21 as the primary language for back end You will be working with other teams including Front office risk teams, trading desk, Quants, and DevOps to build state of the art front to back pricing and risk solution Role requirements Hands ...

through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role) Strong technical … Python, and Excel proficiency Skilled communicator - confident presenting to both technical and non-technical audiences Experience working with or alongside banks, lenders, or credit decisioning teams Highly numerate, creative problem solver with strong business acumen Nice to Have Exposure to property, housing, or mortgage markets Experience in a fast ...