Product & Risk Analytics Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Examine product, user, repayment, and transaction data to extract insights that inform strategy and product development.

• Create, implement, and enhance machine learning models for risk assessment and underwriting, with a focus on loss prevention, ACH failure reduction, and fraud detection.

• Supervise production machine learning models to identify drift and monitor feature significance.

• Uphold data governance to ensure stability in long-term risk strategies.

• Develop and expand Looker dashboards and LookML models.

• Manage code and SQL through Git/GitHub while adhering to branching and pull-request best practices.

• Evaluate user behavior, acquisition processes, and customer segmentation.

• Design and assess A/B testing experiments.

• Analyze the effectiveness of marketing campaigns and model Customer Acquisition Cost (CAC) and Lifetime Value (LTV).

• Monitor company-wide Key Performance Indicators (KPIs).

• Collaborate with Engineering, Product, Finance, Marketing, and leadership teams.

• Convert intricate insights into practical recommendations and executive summaries.

• Enhance the analytical capabilities of the team and organization.

• Report directly to the Head of Business Operations & Analytics.

• Contribute as an individual while aiding in business scaling and the potential development and leadership of a team.

⛳️ Requirements

• 5–7 years of experience in data, product, and risk analytics.

• Demonstrated success in developing and implementing credit and banking risk models.

• Advanced proficiency in SQL, including Snowflake and complex query writing.

• Skilled in Python machine learning libraries such as Pandas, Scipy, and XGBoost.

• Practical experience with Business Intelligence tools like Looker and Superset.

• Strong grasp of statistical concepts and hypothesis testing methodologies.

• Experienced in conducting A/B testing experiments.

• Ability to function as an individual contributor in dynamic, uncertain startup settings.

• Experience utilizing AI tools to enhance output quality and efficiency.

• A proven history of building, mentoring, or developing high-performing analytics teams is preferred.

• Must be legally authorized to work in the United States.

• At least 5 years of experience in roles such as data analyst, risk analyst, business intelligence analyst, or product analyst is required.

• Experience in the fintech, financial services, banking sector, or equivalent is preferred.

• Proficient in writing complex SQL queries, including window functions, Common Table Expressions (CTEs), and aggregations.

• Experience in creating or maintaining dashboards using BI tools like Looker or Apache Superset.

🏝️ Benefits

• Flexible Paid Time Off (PTO).

• Comprehensive Medical, Dental, Vision, Life, and Disability coverage.

• Parental leave benefits.

• Monthly stipends available.

• Equity options offered.

• Opportunity to work remotely or from our downtown Nashville office.