Analyst II, Full Stack
New
Remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employmentFull-TimeMiddle
Salary124,000 - 190,000 USD per year
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Job Details
- Experience
- 2-4 years
- Required Skills
- PythonSQLMachine LearningRisk ManagementData analytics
Requirements
- 2-4 years work experience in customer risk management at a payments or financial company.
- Fluent in SQL and Python.
- A team player with ability to collaborate and influence across different teams.
- Ability to clearly communicate findings and recommendations to both technical and non-technical audiences.
- Passion to understand product mechanics.
- Strong time management skills and ability to manage multiple projects.
- Ability to thrive in a fast-paced environment.
- Bachelor’s or Master’s degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics.
- Knowledge of the fundamentals of payment processing.
- Understanding of industry risk trends and risk strategy development.
Responsibilities
- Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety.
- Drive the analytical work of online experiment to optimise the existing strategies to achieve better conversion rate.
- Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates.
- Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models.
- Evaluate innovative data sources to solve fraud risk.
- Partner with the data engineering team to develop and maintain the data pipelines for core datasets.
- Own end-to-end analytics workflow, including defining success and performance metrics.
- Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments.
- Partner with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention.
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