Senior Data Science Group Manager

Key Responsibilities:

• Lead Decision Science needs of KMRF
• Develop and implement statistical models to support loan origination and risk assessment.
• Assist Chief Risk Officer in developing and refining Credit and Lending strategies
• Analyze large datasets to identify trends, patterns, and insights to improve business results.
• Utilize advanced statistical techniques and machine learning algorithms to build predictive models.
• Build, Deploy and Maintain Credit Decisioning logic in a Decision Engine
• Recommend optional level of automation strategies that balance risk and efficiency.
• Utilize Loan Origination Systems (LOS) to process and manage funding transactions
• Validate and test models to ensure accuracy, reliability, and compliance with regulatory requirements.
• Preprocess, augment, and clean large datasets for building predictive models
• Collaborate with underwriting and risk management teams to integrate models into loan origination processes.
• Interact with Senior Management to make recommendations on credit strategies
• Monitor model performance and make necessary adjustments to improve accuracy and effectiveness.
• Develop and maintain Loss forecasting models and Allowance for Loan Loss Reserve methodologies
• Administer Decision Systems of KMRF
• Prepare and present detailed reports and visualizations to communicate model findings and recommendations to senior management.
• Work with multimodal datasets to derive insights and train hybrid models combining visual and textual data
• Stay updated on industry trends, best practices, and advancements in statistical modeling and machine learning; identify opportunities to incorporate them in KMRF’s Decision Logics
• Ensure compliance with company policies, regulatory requirements, and industry standards.
• Work closely with cross-functional teams, including software engineers, product managers, and domain experts
• Mentor junior team members and contribute to knowledge-sharing sessions
• All other job duties as assigned

Qualifications:

• Bachelor’s degree or higher in Statistics, Mathematics, Data Science, Economics, or related field.
• Minimum of 8-10 years of experience in statistical modeling, data analysis, or related roles.
• Strong proficiency in statistical software and programming languages (e.g., R, Python, SAS).
• Experience with machine learning algorithms and techniques.
• Advanced knowledge of financial services regulations together with all internal policies and procedures
• Proficiency in data visualization tools (e.g., Tableau, Power BI) is a plus.
• Proficiency in understanding various loan structures, payment schedules, amortizations, and interest rates
• Excellent analytical and problem-solving skills.
• Familiarity with cloud platforms (AWS, Azure) and MLOps tools for model deployment
• Strong communication and presentation skills.
• High attention to detail and accuracy.
• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses
• Ability to work on-site at our Foothill Ranch, CA office.
• Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
• Familiarity with financial services and loan origination processes is preferred.

Profile Differentiators:

• Experience in founding, co-founding or working in a fast-paced startup environment
• Experience in Powersports Finance Industry (motorcycle, ATVs UTVs, PWCs)
• Experience in a FinTech startup
• Prior experience in managing a team of Data Scientists and Risk Analysts
• Master’s degree or Advanced Professional degree

Salary Range:

$130,000 - $170,000 annually, based on experience and qualifications.

Equal Opportunity:

KMRF is an Equal Opportunity Employer; employment with KMRF is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Salary : $130,000 - $170,000