for our customers while supporting iwoca's growth objectives. Strategy ownership and innovation: Own the development and execution of strategies to enhance iwoca's credit terms, including pricing, credit limits, and repayment terms. Identify and assess market opportunities to introduce new products or features, ensuring alignment with customer … and project management capabilities. Collaboration and influence: Drive cross-functional alignment on product priorities and secure buy-in from senior stakeholders. Work closely with CreditRisk, Data Science, Operations, and Commercial teams to ensure seamless execution of product initiatives. Be in constant dialogue with our Customer Acquisition teams … gravitas, humility, and enthusiasm: you will need to work with various teams to get stuff done in a rapidly growing environment. Bonus: Familiarity with credit products or lending strategies in a B2B context. Hands-on experience working with complex data structures using SQL or Python for data analysis. Statistical More ❯
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 … cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art creditrisk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … 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 More ❯
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 … cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art creditrisk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … 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 More ❯
serving ultra-high-net-worth clients. You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability. Product pricing: Streamline and improve how lenders set rates … models Funding optimization: Design quantitative models to help understand and realize the value of the bank's non-maturity deposits business for internal funding Risk Management: Develop quantitative models and tools to manage the private bank's risk, such as developing a rate-sensitive prepayment model to improve … hedging of the bank's mortgage portfolio and develop tools for counterparty creditrisk management. Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm's capital adequacy under stress Basic Qualifications Bachelor, Masters More ❯
for data excellence. This is an exciting opportunity to work in a dynamic, fast-paced environment, where data science plays a crucial role in risk management, fraud detection, customer behavior analytics, and automation of financial processes. In this role, you will apply machine learning, advanced statistical techniques, and large … scale data processing to develop models that enhance our BNPL platform. You will work closely with Engineering, Risk, and Product teams to deploy scalable, data-driven solutions that fuel business growth. Key Responsibilities: Develop and deploy machine learning models to optimise creditrisk assessment, fraud detection, and … drive data-informed decision-making. Enhance our data pipelines and machine learning infrastructure, ensuring efficient model training and deployment. Collaborate with engineering, product, and risk teams to integrate data science solutions into real-time production environments. Conduct statistical analyses and A/B testing to validate hypotheses and improve More ❯
Customer Service & Operations Technical Account Manager, LexisNexis Risk Solutions Location: HOME BASED, London, City of, United Kingdom Contract Type: Regular Schedule: 40 Job ID: R94016 LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions … Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and CreditRisk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About our Team As a … depth research and analysis. Demonstrate verbal and written communication skills. Have proficient Microsoft office 365 skills. (Outlook, Excel, PPT) Learn more about the LexisNexis Risk team and how we work here We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to More ❯
This is a fantastic opportunity for an experienced professional to play a key role in the development and implementation of Internal Ratings-Based (IRB) creditrisk models for banks and financial institutions. THE ROLE Develop and validate IRB models: Lead the development and validation of PD, LGD, and … in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory bodies to deliver tailored solutions. Documentation: Prepare comprehensive model More ❯
This is a fantastic opportunity for an experienced professional to play a key role in the development and implementation of Internal Ratings-Based (IRB) creditrisk models for banks and financial institutions. THE ROLE Develop and validate IRB models: Lead the development and validation of PD, LGD, and … in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory bodies to deliver tailored solutions. Documentation: Prepare comprehensive model More ❯
to more people. Using the power of Open Banking, we have built state-of-the-art technology that allows us to look beyond traditional credit scores and offer fairer credit to people ignored by traditional lenders. We have two parts of our business. On the consumer side, we … Abound. Abound has proven that our approach works at scale, with over £650 million lent to-date. While other lenders only look at your credit score, we use Open Banking to look at the full picture - what you earn, how you spend, and what's left at the end. … they can usually find elsewhere. We're taking Render global so that more companies, from high-street banks to other fintechs, can offer affordable credit to their customers. What you'll be doing Serve as the main point of contact for assigned clients, building trust and rapport. Develop a More ❯
functional teams to align on product vision, goals, and deliverables. Manage and resolve dependencies across teams, ensuring smooth and efficient project execution. Operational Excellence & Risk Management Identify and mitigate technical risks and obstacles, ensuring that the product development pipeline runs smoothly and efficiently. Ensure the security, performance, and scalability … or related field (or equivalent experience). About S&P Global Ratings : S&P Global Ratings is the world's leading provider of independent credit ratings. Our ratings are essential to driving growth, providing transparency and helping educate market participants so they can make decisions with confidence. We have … more than 1 million credit ratings outstanding on government, corporate, financial sector and structured finance entities and securities. We offer an independent view of the market built on a unique combination of broad perspective and local insight. We provide our opinions and research about relative creditriskMore ❯
with clients on documentation, account setup, and configuration to ensure a seamless onboarding process. Aligned both by client and by sales desks (FX, Equities, Credit, Rates, Commodities, etc.), NBG works closely with internal teams such as legal, creditrisk, operations, and compliance. The NBG team builds strong More ❯
Technology team in Canary Wharf. This role offers an exciting opportunity to work on innovative solutions that address complex financial data challenges, particularly in creditrisk management. Key Responsibilities: Lead the development and coordination of analytical plans, ensuring alignment with various teams. Manage deliverables in an agile environment … while maintaining clear and effective communication with stakeholders. Present analytical findings, updates, and challenges to diverse audiences including business units, technology management, and risk review teams. Execute data modelling and cleaning processes utilising both internal and external data sources. Build predictive and prescriptive models through data manipulation and cleaning. … GenAI/LLMs projects. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial services, including banking or risk management. Knowledge of capital markets and financial instruments, along with modelling expertise. If you are a forward-thinking individual with an adaptive mindset ready More ❯
will put you at the heart of a global financial institution? Then bring your analytical and project management skills to Citi's Financial, Market & CreditRisk Technology team. Within FMCRT, this team supports the deliveries related to FX exposure reporting process which is used by Market Controllers Group … formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects. Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment. Consult with business clients to determine system functional specifications … Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with More ❯
Location: London, London, City of, United Kingdom Contract Type: Regular Schedule: 40 Job ID: R94259 About the Business : LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive … Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and CreditRisk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About our Team : The team … customer accounts post implementation acting as a fraud SME delivering on strategic road maps and projects. Responsibilities : Showing a good understanding of fraud and risk management, relating it to products and service within the firm Understanding customer use cases and requirements and in turn apply best practices to deliver More ❯
environment. *Please note that we are unable to provide sponsorship for these positions* Job Description As a Software Engineer at JPMorgan Chase within Wholesale CreditRisk Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products … app vulnerabilities. Provide challenge and assessment of potential technology risks including information and cyber security control weaknesses by performing threat modelling exercises. Provide technology risk subject matter expertise and communicate the risk environment to management and other key stakeholders. Build solid professional relationships with matrixed teams to include … technology, business, audit, and operational risk partners. *Please note that this role is full time onsite.* We are committed to offering an inclusive recruitment experience. If you require accommodations because of disability or health condition, please email. This position is being sourced through our Outsourcing service line. More ❯
About the role We're looking for a super-smart senior analyst/creditrisk manager who is great with numbers and loves problem-solving to come and have a big impact on our business. We want someone who has coding experience and uses it (ideally Python and … UK cards business. You'll be working for an ambitious company, in a fast-paced environment, with minimal bureaucracy. Your team's objectives The credit card team is building a near prime cards portfolio with ambitious targets. In the credit team, we are looking to optimise who we … those decisions. We also own various models, which we use to forecast returns for our investors. How you'll impact those objectives Define the credit strategy for our evolving portfolio Discover insights from data and develop strategies to answer the big questions and address key business questions Collaborate with More ❯
About the Business : LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers … solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and CreditRisk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : The team drives customer engagement at … customer accounts post implementation acting as a fraud SME delivering on strategic road maps and projects. Responsibilities : Showing a good understanding of fraud and risk management, relating it to products and service within the firm Understanding customer use cases and requirements and in turn apply best practices to deliver More ❯
About the Business : LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers … solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and CreditRisk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : The team drives customer engagement at … customer accounts post implementation acting as a fraud SME delivering on strategic road maps and projects. Responsibilities : Showing a good understanding of fraud and risk management, relating it to products and service within the firm Understanding customer use cases and requirements and in turn apply best practices to deliver More ❯
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems … in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and CreditRisk mitigation and Customer Data Management. Are you looking to join an industry-leading sales organization? Our sales team is dedicated to partnering with organizations to address and solve complex risk problems. At LexisNexis Risk Solutions, we pride ourselves in providing solutions that directly impact our customers' ability to mitigate and manage risk. You will be joining a high-performance sales team in a business enjoying significant growth, a Global FTSE 100 and well renowned in the market. About More ❯
leeds, west yorkshire, yorkshire and the humber, United Kingdom Hybrid / WFH Options
Harnham
or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python Desirable: SQL proficiency Exposure to creditrisk, collections, or pricing Knowledge of machine learning methods and practical applications Package Overview £40,000 base salary Annual performance bonus Pension scheme More ❯
platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven creditrisk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the … that embed financing in their customer journeys, and we are building the solutions that will power that future. The Role: We're seeking a Credit Fraud Strategy Manager with strong experience in credit fraud detection and prevention to lead and enhance our strategic approach to managing fraud risk. … fraud threats with appropriate mitigation actions. Deliver clear reporting on fraud trends, performance, and actions taken. Minimum Requirements: Experience leading Fraud Analytics in a Credit company. Proficiency in SQL. Why join YouLend? Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by More ❯
of our models. Responsibilities: Develop and implement models for our energy supply business using Python and other data science tools. Identify, analyze, and mitigate credit risk. Conduct data analysis and modeling to support risk management decisions. Stay current with industry developments and regulations related to creditriskMore ❯
of robust, scalable analytical tools Collaborating with analysts to share best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing creditrisk models using logistic regression or similar Knowledge of machine learning approaches such as random forest and clustering Proficient in Python Educated to More ❯
to our clients to support their strategic objectives. The Markets division encompasses all of Rabobank's financial markets activities, including money markets, FX trading, credit trading, commodity derivatives, interest rate and FX options, corporate and FI sales, and Capital Markets (CM). CM operates globally, offering products such as … in the industry. Join us to leverage our seasoned capabilities and extensive network to drive impactful financial solutions. Skills & Experience Required: Financial Analysis and Credit Skills: Demonstrated ability to analyse financial data, assess creditrisk, and make informed decisions related to lending and capital markets. Structuring Expertise More ❯
is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that … client analytics or pricing models (preferably in an Investment Bank). In-depth knowledge of quantitative finance e.g. stochastic calculus, volatility modelling, price/risk attribution, client strategies. Extensive knowledge of FICC markets and maths including strong trading knowledge in one asset class (Rates, Credit or FX). … and taken through into client value driving production. Apply recent trends and developments in the financial service domain to improve volatility and/or creditrisk modelling. Make proactive use of cloud computing solutions (like AWS/GCP) and other technological tools to improve model accuracy. Use leading More ❯