Senior Data Modeling Analyst

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

📋 Description

• Take charge of analytical projects throughout the consumer credit lifecycle, encompassing acquisition, account management, and collections.

• Develop statistical and machine learning models through all stages, from design to training, evaluation, validation, and implementation.

• Utilize a wide range of technologies, including SQL, PySpark, Python, AWS, and others, to extract insights from extensive datasets.

• Create and enhance acquisition strategies, such as segmentation, decision rules, and cutoff strategies.

• Convert analytical findings into actionable business recommendations for stakeholders.

• Work collaboratively with both internal and external clients to identify suitable analysis parameters and performance metrics, as well as requirements for decision tools and strategy implementation and monitoring.

• Analyze results, identify trends and issues, and propose alternatives to support our objectives.

• Communicate analysis results effectively and deliver presentations to end-users.

• Develop implementation plans and participate in audits to facilitate the deployment of statistical models and other decision-making tools.

• Assist in the creation of analytic and data products and services, as well as the enhancement of existing processes and offerings.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative discipline.

• Over 8 years of experience in statistical and quantitative analysis, Machine Learning, and Statistical Modeling, including large-scale data manipulation in the Credit Lending sector.

• Proficiency in Python (mandatory) and SQL, with experience in building scalable data pipelines.

• Familiarity with statistical models and hands-on experience in predictive model development (using Python, R, SAS).

• Domain experience in financial services, particularly in credit lending, credit risk modeling, and the credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring).

• Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decision systems.

• Skills in joining large datasets from various data sources, creating intricate logic for data cleaning, detecting outliers, and refining business rules to validate and monitor model forecasts.

• Proven ability to tackle complex and unique challenges.

🏝️ Benefits

• Flexible Time Off: 20 Days.

• Competitive compensation package and bonus plan.

• Core benefits including medical, dental, vision, and matching 401K.

• Flexible work environment, with options for remote, hybrid, or in-office work.

• Flexible time off that includes volunteer time off, vacation, sick leave, and 12 paid holidays.