Senior Analyst, Analytics Development – Model Governance

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

📋 Description

• Develop, validate, and enhance statistical and machine learning models, such as regression and XGBoost, aimed at fraud detection and prevention.

• Create and implement features to boost model performance and reliability.

• Construct tools and frameworks that facilitate scalable model development, assessment, and monitoring.

• Assess model performance and perform comparative analyses across different methodologies.

• Conduct exploratory data analysis and evaluate data quality across various datasets.

• Enrich and consolidate data from both internal and external sources.

• Package, deploy, and maintain models within production settings.

• Execute model governance activities, which include validation, documentation, and continuous monitoring.

• Generate reports, visualizations, and summaries to aid in decision-making.

⛳️ Requirements

• A minimum of 2 years of experience in data science, analytics, or a related domain.

• A degree (undergraduate or graduate) in Statistics, Applied Mathematics, Econometrics, or another quantitative field, or an equivalent combination of education and experience.

• Proficient in Python for data analysis and machine learning, including tools such as PySpark, Polars, NumPy, and Pandas.

• Strong grounding in statistics and best practices in machine learning.

• Experience with regression, XGBoost, and other fundamental ML algorithms.

• Practical experience throughout the entire model lifecycle: data ingestion, exploratory data analysis, modeling, validation, and deployment.

• Experience in creating or supporting tools or pipelines for model development.

• Knowledge of model governance frameworks encompassing validation, monitoring, and documentation.

• Ability to communicate analytical concepts effectively to diverse audiences.

• Experience with large-scale data processing frameworks, such as Spark.

• Proficient in UNIX/Linux environments and scripting, including Bash.

• Familiarity with object-oriented programming principles.

• Exposure to cloud platforms, preferably AWS.

• Experience in debugging or maintaining production systems; familiarity with Java is a plus.

🏝️ Benefits

• Attractive compensation package along with a bonus plan.

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

• Flexible work environment, with options to work remotely, in a hybrid model, or on-site.

• Flexible time off policies that include volunteer time off, vacation days, sick leave, and 12 paid holidays.