Connor Nurse

Broadgate are supporting the search for a Director of Credit to join a high-growth, entrepreneurial consumer lending organization. This is a foundational leadership position responsible for building and scaling credit risk and targeting strategies from the ground up. The role will have direct influence over portfolio performance, risk management, and growth strategy as the business enters its next expansion phase. Reporting into the Chief Risk Officer, this individual will be a key member of the leadership team and will play a central role in shaping the company’s data-driven credit and marketing decisioning framework.Accountabilities• Architect and evolve credit risk and underwriting strategies across the customer lifecycle, including acquisition, credit line assignment, and account management decisions.• Design and execute experimental testing frameworks to support rapid, scalable customer growth across digital and direct marketing channels.• Apply statistical modeling and machine learning approaches to support portfolio expansion, risk optimization, and targeting effectiveness.• Manage portfolio performance metrics, ensuring strong risk-adjusted returns while balancing growth objectives and customer acquisition cost efficiency.• Partner closely with engineering and data teams to implement automated, resilient decisioning systems within production environments.• Oversee development and deployment of advanced credit models and decision logic, including adverse action reasoning, to support accuracy, fairness, and regulatory compliance.Skills Required• 7 years of experience in consumer lending risk management, with strong hands-on expertise in credit card underwriting across near-prime and prime customer segments.• Demonstrated experience designing, deploying, and managing complex credit strategies and quantitative models, including machine learning applications.• Advanced proficiency in analytical programming and statistical software such as Python, R, or SAS.Candidates must be authorized to work in the United States, as sponsorship is not available.

Fraud & Verification Analyst – Risk & Data (Remote, US) 💼 FinTech | Consumer Lending | Remote A fast-growing, data-driven consumer lending platform is seeking a Fraud & Verification Analyst to design and execute advanced fraud detection and risk mitigation strategies. This is a high-impact role that combines analytical expertise, technical skills, and cross-functional collaboration to protect the business and its customers while supporting growth. What You’ll DoMonitor applications, transactions, and customer activity to detect and prevent fraud, including synthetic identities, account takeovers, and first-party fraudApply machine learning models and statistical techniques to enhance fraud detection capabilitiesManage and optimize fraud and verification tools and data providers to ensure ROIBuild and maintain dashboards to track key fraud and risk performance metricsStay up to date on industry best practices, regulatory requirements, and emerging technologies in online-lending fraud preventionCollaborate with Operations, Credit, Technology, and Compliance teams to align fraud strategies with business objectivesWhat We’re Looking ForDegree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field2–5 years of experience in fraud analytics, data science, or related roles, ideally within FinTech or online lendingProficiency in SQL, Excel, and data visualization toolsKnowledge of optimization, stochastic processes, experimental design, and A/B testingStrong understanding of fraud typologies affecting online financial services and relevant regulatory frameworksAnalytical mindset with the ability to distill complex problems into clear, actionable insightsPassion for staying current on methodologies and emerging trends

Senior Credit Risk & Fraud Leader – Personal Loans (Remote / US)Are you ready to take ownership of credit risk and fraud strategy at a fast-growing fintech? We’re seeking an experienced, hands-on leader to shape how risk is assessed and managed across the personal loan lifecycle—from acquisition to portfolio performance. This isn’t about maintaining policy; it’s about driving measurable impact, scaling growth, and delivering an exceptional customer experience.What you’ll do:Own credit risk and fraud strategies, leveraging data, ML/AI models, and advanced analytics.Design and evaluate A/B tests to optimize risk-return outcomes.Analyze portfolio performance at a granular level to uncover trends and opportunities.Identify new data sources and vendors, building business cases for adoption.Collaborate across Product, Marketing, Data Science, Tech, and Compliance to translate insights into actionable strategies.Maintain credit policies and ensure losses stay within defined risk appetite.Participate in credit loss forecasting and stress testing exercises.What you bring:Bachelor’s degree in Data Science, Applied Math, Statistics, Economics, Business, or related field.6 years owning acquisition credit risk for Credit Card or Personal Loan portfolios.2 years of people leadership experience.Proficiency in Python, SQL, Excel, and data visualization tools.Strong ability to turn complex data into clear recommendations.Excellent risk judgment with a balance of growth, loss, and customer experience.Comfortable operating in a fast-paced, evolving environment.Clear, confident communicator able to influence senior stakeholders.

Data Scientist – Credit & Risk Modeling (Remote, US)? High-Growth FinTech | Consumer Lending | RemoteA rapidly growing, technology-driven consumer lending platform is seeking a Data Scientist to design, implement, and optimize the machine learning models that power its personal loan business. This is a high-impact, hands-on role with visibility, autonomy, and the chance to influence business strategy while collaborating across Marketing, Credit, Technology, and Compliance teams.What You’ll DoDevelop, implement, and monitor performance of machine learning models across the loan lifecycleDesign and run A/B testing frameworks to validate hypotheses and drive continuous improvementExplore and analyze data to uncover new opportunities for enhancing model performance and business impactCollaborate with cross-functional teams to define KPIs and shape product strategyPartner with Technology teams to build scalable data science pipelines for continuous model testing and optimizationEnsure proper documentation, governance, and model validation in line with financial services regulationsWhat We’re Looking ForDegree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field4–6 years of experience in Data Science, Analytics, or related roles, ideally within FinTech or online lendingStrong Python skills for programming, data analysis, and predictive modelingProficiency in SQL, Excel, and experience with data visualization toolsHands-on experience with applied statistical methods and predictive modeling techniques, including linear models, decision trees, boosting, and ensemble methodsKnowledge of optimization, stochastic processes, experimental design, A/B testing, and bootstrappingStrong analytical mindset and ability to translate complex data into clear insights