Engagement Manager
About The Position
Lead analytical initiatives, specializing in unsecured lending portfolios (including Personal Loans, and Credit Cards). Strategic advisory, policy development, and operational oversight in credit risk analytics. Lead a team, deliver insights through advanced analytics and BI tools, and drive improvements in client risk strategies. Lead and manage risk analytics projects to support tactical and strategic initiatives across Personal Loans, POS Lending, and Credit Cards. Develop and refine credit risk policies including acquisition, line management, and collections strategies. Design and implement A/B testing frameworks using Design of Experiments (DOE) to optimize policy effectiveness. Perform portfolio analytics to monitor performance, identify emerging risks, and recommend data-driven mitigation strategies. Leverage machine learning (ML) and AI techniques (e.g., Random Forest, Gradient Boosting, NLP) to enhance risk prediction models. Build and maintain BI frameworks and dashboards using tools like Power BI, Tableau, and Excel. Conduct regression, clustering, time series, and statistical modeling for risk forecasting and performance analysis. Partner with legal, compliance, and audit teams to ensure adherence to regulatory standards and risk appetite. Prepare and present analytical findings to senior stakeholders and executive leadership through impactful storytelling and data visualization. Mentor and manage teams, fostering professional development and project delivery excellence. Collaborate with cross-functional teams to optimize operational processes and automate data workflows. Evaluate remediation analytics and restitution plans to ensure policy compliance and regulatory correctness. Manage and maintain data infrastructure using cloud platforms (e.g., AWS), Snowflake, and Databricks. Will require up to 10% travel within the U.S. to client sites. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requirements
- Experience with unsecured lending portfolios (Personal Loans, and Credit Cards)
- Experience with credit risk analytics
- Experience with advanced analytics and BI tools
- Experience with A/B testing frameworks using Design of Experiments (DOE)
- Experience with machine learning (ML) and AI techniques (e.g., Random Forest, Gradient Boosting, NLP)
- Experience with Power BI, Tableau, and Excel
- Experience with regression, clustering, time series, and statistical modeling
- Experience with cloud platforms (e.g., AWS), Snowflake, and Databricks
Responsibilities
- Lead analytical initiatives, specializing in unsecured lending portfolios
- Strategic advisory, policy development, and operational oversight in credit risk analytics
- Lead a team, deliver insights through advanced analytics and BI tools, and drive improvements in client risk strategies
- Lead and manage risk analytics projects to support tactical and strategic initiatives across Personal Loans, POS Lending, and Credit Cards
- Develop and refine credit risk policies including acquisition, line management, and collections strategies
- Design and implement A/B testing frameworks using Design of Experiments (DOE) to optimize policy effectiveness
- Perform portfolio analytics to monitor performance, identify emerging risks, and recommend data-driven mitigation strategies
- Leverage machine learning (ML) and AI techniques (e.g., Random Forest, Gradient Boosting, NLP) to enhance risk prediction models
- Build and maintain BI frameworks and dashboards using tools like Power BI, Tableau, and Excel
- Conduct regression, clustering, time series, and statistical modeling for risk forecasting and performance analysis
- Partner with legal, compliance, and audit teams to ensure adherence to regulatory standards and risk appetite
- Prepare and present analytical findings to senior stakeholders and executive leadership through impactful storytelling and data visualization
- Mentor and manage teams, fostering professional development and project delivery excellence
- Collaborate with cross-functional teams to optimize operational processes and automate data workflows
- Evaluate remediation analytics and restitution plans to ensure policy compliance and regulatory correctness
- Manage and maintain data infrastructure using cloud platforms (e.g., AWS), Snowflake, and Databricks
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
