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Senior Analyst, Analytics Development & Model Governance
Skills
Apache SparkBlueprintCore MLCritical ThinkingData AnalyticsFraud InvestigationsModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years of experience in data science analytics or a related field
- Degree in Statistics Applied Mathematics Econometrics or another quantitative discipline or equivalent experience
- Python skills for data analysis and machine learning including PySpark Polars NumPy and Pandas
- Solid foundation in statistics and machine learning best practices
- Experience with regression XGBoost and other core ML algorithms
- Hands-on experience across the full model lifecycle from ingestion to deployment
- Experience building or supporting model development tools or pipelines
- Familiarity with model governance frameworks including validation monitoring and documentation
- Experience communicating analytical concepts to diverse audiences
- Experience working with large-scale data processing frameworks such as Spark
- Proficiency in UNIX/Linux environments and scripting including Bash
- Familiarity with object-oriented programming principles
- Exposure to cloud platforms AWS preferred
- Experience debugging or supporting production systems Java familiarity a bonus
Nice to have
- Critical thinking
- Empathy
- Humility
- Curiosity
- Collaborative mindset
- Impact-focused
Day to day
- Develop, validate, and optimize statistical and machine learning models to detect and prevent fraud
- Design features and analytical approaches that improve model performance and stability across the full lifecycle
- Build scalable tools and frameworks for model development, evaluation, deployment, monitoring, and governance