Assistant Vice President

Jobtailor; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior analytics leader to drive unsecured lending risk analytics, building predictive models, and delivering insights to executives. You will oversee cross-functional teams, develop policy guidance, and design experiments to optimize risk strategies.

The role focuses on portfolio performance, emerging risks, and implementing ML/NLP techniques within a modern data stack (AWS, Snowflake, Databricks). Strong communication with regulatory and audit partners is expected.

Qualifications

• Bachelor's degree in Engineering, Technology, or a directly related field.
• Eight (8) years of related professional experience.
• Six (6) years of coding and testing experience using SAS, SQL, R, and Python.
• Four (4) years of experience with risk and portfolio analytics, acquisition and line management strategy, collections strategy development, and credit card or consumer lending analytics.
• Three (3) years of project management experience delivering complex initiatives, including timelines, stakeholder alignment, project milestones, and final deliverables.
• Three (3) years of experience building strategy-outcome storylines, creating PowerPoint decks, and delivering reports and presentations to key executives.
• Two (2) years of reporting/dashboarding and performance tracking using Power BI and Tableau.
• Two (2) years of model development in the credit risk space.
• Six (6) months of experience collaborating with Operations and Underwriting teams.
• 40 hours/week, 9:00am-5:00pm

Responsibilities

• Lead analytical initiatives for unsecured lending portfolios (personal loans and credit cards).
• Provide strategic advisory, policy development, and operational oversight in credit risk analytics.
• Lead and manage teams and deliver insights through advanced analytics and BI tools.
• Design and implement A/B testing frameworks using Design of Experiments (DOE).
• Perform portfolio analytics to monitor performance, identify emerging risks, and recommend mitigation strategies.
• Apply machine learning and AI techniques (Random Forest, Gradient Boosting, NLP) to risk prediction models.
• Build and maintain BI frameworks and dashboards using Power BI, Tableau, and Excel.
• Conduct regression, clustering, time-series, and statistical modeling.
• Partner with legal, compliance, and audit on regulatory standards and risk appetite.
• Present analytical findings to senior stakeholders and executive leadership.
• Collaborate with cross-functional teams to optimize processes and automate data workflows.
• Evaluate remediation analytics and restitution plans for policy and regulatory compliance.
• Manage data infrastructure using AWS, Snowflake, and Databricks.

Skills

Credit Risk Analytics

Machine Learning Techniques

Power BI

SAS

SQL

Education

Bachelor's degree in Engineering/related field

Tools

Tableau

Excel

AWS

Snowflake

Databricks

Job description

• Lead analytical initiatives for unsecured lending portfolios, including personal loans and credit cards
• Provide strategic advisory, policy development, and operational oversight in credit risk analytics
• Lead and manage teams and deliver insights through advanced analytics and BI tools
• Design and implement A/B testing frameworks using Design of Experiments (DOE)
• Perform portfolio analytics to monitor performance, identify emerging risks, and recommend mitigation strategies
• Apply machine learning and AI techniques, including Random Forest, Gradient Boosting, and NLP, to risk prediction models
• Build and maintain BI frameworks and dashboards using Power BI, Tableau, and Excel
• Conduct regression, clustering, time-series, and statistical modeling
• Partner with legal, compliance, and audit teams on regulatory standards and risk appetite
• Present analytical findings to senior stakeholders and executive leadership
• Collaborate with cross-functional teams to optimize processes and automate data workflows
• Evaluate remediation analytics and restitution plans for policy and regulatory compliance
• Manage data infrastructure using AWS, Snowflake, and Databricks
• Position may work at various and unanticipated worksites throughout the United States

Requirements

• Bachelor's degree in Engineering, Technology, or a directly related field
• Eight (8) years of related professional experience
• Six (6) years of coding and testing experience using SAS, SQL, R, and Python
• Four (4) years of experience with risk and portfolio analytics, acquisition and line management strategy, collections strategy development, and credit card or consumer lending analytics
• Three (3) years of project management experience delivering complex initiatives, including timelines, stakeholder alignment, project milestones, and final deliverables
• Three (3) years of experience building strategy-outcome storylines, creating PowerPoint decks, and delivering reports and presentations to key executives
• Two (2) years of reporting/dashboarding and performance tracking using Power BI and Tableau
• Two (2) years of model development in the credit risk space
• Six (6) months of experience collaborating with Operations and Underwriting teams
• 40 hours/week, 9:00am-5:00pm

Core Competencies

Demonstrates expertise in credit risk analytics, including advanced analytics, machine learning techniques, and BI tools. Proven ability to lead teams, manage projects, and present insights to senior stakeholders while ensuring compliance with regulatory standards.

Highest-signal resume keywords

• Credit Risk Analytics
• Machine Learning Techniques
• Power BI
• SAS
• SQL

Hard Skills

• Risk Prediction Models
• Statistical Modeling
• A/B Testing Frameworks
• Portfolio Analytics
• Data Infrastructure Management
• Regression Analysis
• Clustering
• Time-Series Analysis
• NLP
• Project Management

Soft Skills

• Leadership
• Collaboration
• Strategic Advisory
• Communication
• Stakeholder Management

Industry Keywords

• Unsecured Lending
• Consumer Lending
• Credit Cards
• Regulatory Compliance
• Operational Oversight

Tools & Technologies

• Power BI
• Tableau
• Excel
• AWS
• Snowflake
• Databricks