HELLO BOSTON

OverviewThe Senior Director, Business Analytics is responsible for leading and optimizing one or more lines of business through data-driven strategies that enhance profitability, credit performance, and growth. This individual will set strategic goals, drive execution, and collaborate across departments to ensure alignment on key initiatives and business outcomes.Key ResponsibilitiesDefine and execute the strategic vision for a line of business, focusing on growth, credit performance, and profitability.Lead high-quality, autonomous analysis that directly informs business decisions and performance improvements.Develop and maintain efficient, automated processes that minimize operational risk and improve consistency.Drive growth through stable, cost-effective acquisition and application channels.Own and monitor credit performance across channels, ensuring data-driven decisioning and oversight.Build and manage relationships with internal and external partners, vendors, and key stakeholders.Partner with internal teams to establish operational frameworks and infrastructure supporting business initiatives.Create and maintain credit and decisioning models and frameworks tailored to the line of business.Oversee data infrastructure and reporting capabilities to ensure accurate monitoring and insight generation.Develop communication processes to share business performance insights with leadership and stakeholders.Lead planning and resource allocation for technical implementations that enhance program performance.Manage, mentor, and develop a team of analysts to support business objectives.Execute special projects and initiatives as required by business priorities or leadership direction.Qualifications & ExperienceBachelor’s degree required; advanced degree preferred.8 years of hands-on experience in credit risk, loan pricing, or process design within a consumer finance or related analytics-driven environment.Proven ability to manage external partnerships and stakeholders throughout project lifecycles.Expertise in analytical techniques used to produce forecasts, insights, dashboards, and business reporting.Strong background in initiative shaping, project management, and execution oversight.Demonstrated ability to lead strategically while remaining comfortable with hands-on, independent work.Experience building analytical or operational frameworks in complex or evolving environments.Technical proficiency in data analytics, credit analytics, or quantitative modeling.Excellent communication, organizational, and stakeholder management skills.Ability to manage confidential information, prioritize effectively, and operate in a fast-paced, dynamic setting.Proven experience leading and mentoring analytical teams, including coaching, training, and performance management.Skilled at influencing, resolving conflict, and driving collaboration across diverse teams.Proficiency with Microsoft Office and other analytical or business software; quick learner of new systems and tools.Demonstrated commitment to operational excellence, innovation, and organizational values.

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 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗘𝘅𝗮𝗺𝘀 & 𝗔𝘂𝗱𝗶𝘁𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗿I'm working with one of the most mission-driven and fast-scaling fintechs in the payments space seeking a compliance leader to own and evolve their end-to-end regulatory exams and audits program across the US and Canada.You'll serve as the primary face to regulators, financial partners, and auditors, managing everything from exam preparation to management action plans. No order-taking here. You'll be shaping strategy, building frameworks, and delivering insights directly to senior leadership.This is the perfect role for someone with deep regulatory expertise in financial crime, licensing, or consumer compliance who thrives in a high-growth, tech-forward environment and knows how to make compliance a business enabler and not a blocker.Experience with the CFPB, OCC, NYDFS, or CA DFPI? Even better.Location: Austin, TXSalary: $135,000 - $185,000

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.