Harnham

Lead risk management teams and strategies focusing on credit risk, fraud prevention, data analytics, and cross-functional collaboration to minimize risk and maximize value. | 10+ years in credit risk management with experience in decision engines, risk tech platforms, credit bureaus, team leadership, and bank transaction data. | VP of Credit Risk Management Base Salary: $250,000 - $275,000 Bonus: 30% performance-based Equity: Participation in the company's equity program Location: Dallas/Fort Worth, TX (Remote options available for exceptional candidates) About the Company: We are a fast-growing fintech company that is transforming the financial services industry with innovative products and cutting-edge technology. Our mission is to provide accessible financial solutions to help individuals manage their credit and financial health. We are seeking an experienced VP of Credit Risk Management to lead risk strategy across key areas of the business, including fraud prevention, account management, and data analysis. Position Overview: As the VP of Credit Risk Management, you will play a pivotal role in shaping and executing risk management strategies across multiple functions. This role is ideal for a versatile and hands-on leader who thrives in a fast-paced environment and can navigate a broad range of responsibilities. You will lead initiatives in risk analysis, fraud management, data analytics, and account management, particularly with bank transaction data. This is a leadership position that requires a strong background in credit risk management, data-driven decision-making, and cross-departmental collaboration. You will manage teams in Dallas as well as remote employees, and work closely with product, marketing, and other departments to ensure the company is building products that minimize risk and maximize value for customers. Key Responsibilities: • Leadership & Team Management: Lead and manage risk management teams located in Dallas and remotely, offering mentorship and fostering a collaborative environment. • Risk Analysis & Strategy: Analyze the risk impact of new products and services, making data-driven recommendations to mitigate potential risks. • Cross-Functional Collaboration: Work across the company to align on risk management initiatives, ensuring all teams are working towards the same objectives. • Fraud Prevention & Modeling: Spearhead the development of fraud prevention solutions using AI tools and technologies. Lead efforts to create a real-time decision-making platform by the end of the year. • Account & Partnership Management: Oversee partnerships and account management to ensure risk management strategies are aligned with overall business goals. Experience & Qualifications: • 10+ years of experience in risk management, with a strong focus on Credit Risk Management. • Extensive experience with decision engines, risk tech platforms, and credit bureaus. • Proven experience in leading teams and executing roadmaps for complex risk management projects. • Expertise in working with bank transaction data, underwriting policies, and manual underwriting processes. If this seems like a good fit. Please apply with an updated resume!

Lead and deliver data science projects focused on marketing analytics, mentor teammates, and collaborate with senior leadership to operationalize AI/ML solutions. | Proven experience delivering production machine learning models, expertise in Python, SQL, Databricks, marketing analytics, and leadership experience with strong communication skills. | DATA SCIENCE TEAM LEAD Remote in the United States -- Candidates must be located in the United States $170,000 - $200,000 Total Compensation Full time permanent position The Company: This company serves as an online program manager, assisting universities in converting traditional brick-and-mortar programs into accelerated online formats. They handle digital marketing, application support, and online marketing to attract and retain students, providing continuous support once enrolled. In this role, you will need end-to-end machine learning model-building experience. The best candidate will be impact-oriented, driven, ambitious, and entrepreneurial, with a growth mindset focused on personal and peer development. Job Responsibilities: • Lead and deliver high-impact data science initiatives across marketing analytics, including marketing mix modeling (MMM), Google Ads optimization, and attribution modeling. • Support and expand ongoing projects in churn prediction, lead scoring, and customer segmentation to drive measurable business outcomes. • Partner closely with the Head of Innovation, senior leadership, and cross-functional teams to identify opportunities for AI/ML application and operationalize solutions into the business. • Own the end-to-end lifecycle of data science projects — scoping, experimentation, model development, and delivery — with a focus on actionable impact. • Mentor and guide teammates, with a clear growth path into management and eventual responsibility for direct reports. Essential Skills: • Proven track record of delivering production-level machine learning models and advanced analytics solutions that drive business impact. • Hands-on expertise in Python, SQL, and Databricks (or similar platforms). • Strong background in marketing analytics (MMM, attribution modeling, paid media optimization, customer segmentation) and experience with churn prediction or lead scoring. • Ability to translate complex analyses into clear insights for technical and non-technical stakeholders. • Experience leading workstreams or teams, with the ability to grow into a formal people management role. • Excellent communication, collaboration, and problem-solving skills with a bias toward action and measurable results. BENEFITS: A competitive base salary of $170,000-$200,000 base + benefits HOW TO APPLY Please register your interest by sending your Resume to Emma Spagnola via the Apply link on this page or at emmaspagnola@harnham.com.