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Analyst II, Full Stack (Fraud Analytics)
otherfull-timeRemote US
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
fintech
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About the role
WHAT YOU’LL DO
- Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and 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 or fraud rates
- Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
- Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes.
- Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports
- Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments
- Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention
WHAT WE LOOK FOR
- 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 in the organisation
- Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
- Passion to understand how the product works and how to change to make it more effective
- Strong time management skills and the ability to manage multiple projects and priorities
- Able to thrive in a fast-paced environment and be responsive and available during high intensity moments
- Bachelor’s or Master’s degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired
- Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.
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