251 to 270 of 270 Remote Credit Risk Jobs

driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation … Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial … Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix More ❯

driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation … Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial … Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix More ❯

driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation … Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial … Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix More ❯

Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis … models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of AI innovation in financial services . More ❯

actionable analysis, and enable evidence-based decision-making. Duties & Responsibilities: Develop, maintain, and enhance BI dashboards and reporting tools across various business areas including Credit Risk, Operations, Finance, and Product. Deliver accurate and timely reporting to internal stakeholders and regulatory bodies. Use SQL and BI tools (such as 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 Credit Risk 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 ❯

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, credit risk, operations, and compliance. The NBG team builds strong 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 & Credit Risk 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 ❯

About the role We're looking for a super-smart senior analyst/credit risk 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 ❯

countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with … progress of organization. Contribute to defining and implementing best practices and processes for the department and ensure transparency and consistency across teams. 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 … accountability with those who fail to maintain these standards. Qualifications: Relevant technical experience (Java, Spark etc) in a similar role with managerial experience. Relevant Risk Management experience within Financial Services (Market/Credit Risk). PMP Certification, MBA, Specific to business Licenses and other. Experience with financial More ❯

or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning methods and practical applications Package Overview £40,000 base salary Annual performance bonus Pension scheme 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 credit risk modelling. Make proactive use of cloud computing solutions (like AWS/GCP) and other technological tools to improve model accuracy. Use leading More ❯

their flexible working culture, remote working opportunities, excellent benefits, and outstanding internal culture and career progression. As part of a build-out of the risk modelling team, I am looking for an experienced IRB modeller to lead a talented team of modelling analysts and data scientists responsible for developing … and remediating the IRB & Scorecards model landscape to ensure effective risk management and capital allocation within the portfolio. As part of this role, you will be responsible for: Managing multiple complex model development projects and analyses; delivering the scoping, design, development, validation, and implementation of models, in line with … and responsibility for ensuring the performance of models is understood and identifying opportunities for model enhancements. You will lead the design and implementation of credit risk models in line with Bank standards and regulatory compliance requirements. You'll ensure that the models in operation are robust, fit for More ❯

for our Loan Processing team. Join a small, ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. More ❯

ownership of the customer facing digital channels and their strategy across retail, SME, corporate and commercial customers ensuring they deliver their revenue, service and risk requirements. Deliver and maintain a core data reporting capability to all areas of the organisation including reg reporting, credit risk, finance, and … growth in revenue generation and usage of the digital estate, increasing users and transaction volumes and creating fans. And we are a bank so risk is a part of everything we do. We love people who take responsibility, do the right thing for customers, colleagues and Metro Bank and More ❯

future opportunities. Qualifications Business development experience in the banking and financial services sector across all channels (e.g. direct to lender, comparison sites) Experience of credit risk, affordability and income and expenditure verification in lending/service provision decisions Experience working with Product Management teams to continuously evolve and More ❯

and Skills Qualifications Business development experience in the banking and financial services sector across all channels (e.g., direct to lender, comparison sites) Experience of credit risk, affordability, and income and expenditure verification in lending/service provision decisions Experience working with Product Management teams to continuously evolve and More ❯

projects The role: As a Head of Data Science, you will report into the Chief Data Officer. You will lead the business on their credit scoring/fraud and collections journey, providing expertise on how to shape a function and identify Data and Algorithmic opportunities to reduce risk … world class lending platform Overseeing a team of 2-3 people About you Experience overseeing Data Science and analytics teams in a Fintech or Credit risk environment Understand the regulatory environment inside and out Experience developing technical strategies and analytic testing frameworks What's in it for you More ❯

projects The role: As a Head of Data Science, you will report into the Chief Data Officer. You will lead the business on their credit scoring/fraud and collections journey, providing expertise on how to shape a function and identify Data and Algorithmic opportunities to reduce risk … world class lending platform Overseeing a team of 2-3 people About you Experience overseeing Data Science and analytics teams in a Fintech or Credit risk environment Understand the regulatory environment inside and out Experience developing technical strategies and analytic testing frameworks What's in it for you More ❯

and business partner. Typical Projects Expanding or increasing market share for issuers in the consumer market. Using emerging technology to acquire top customers. Growing credit card portfolios while mitigating credit risk. Optimizing issuer revenues. Enabling increased spending in specific segments. Responsibilities Deliver consulting initiatives and identify opportunities with More ❯