What You’ll Do
- Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
- Perform statistical analysis on feature transformation and business impact analytics.
- Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
- Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
Story Behind the Need – Team & Key Projects
- Team: Work closely with Core Automation team’s tech leads/managers.
- Partner with engineering teams to rebuild the next-generation risk platform (NGRP).
- Be part of the pioneer team launching NGRP.
Reason for Posting:
Building a next-generation risk platform to support enterprise business functions under tight timelines for decision engine adoption.
**Typical Day in the Role
Daily Responsibilities:**
- Test and evaluation; processing and governance; monitoring.
- Data analysis and decision engine serving 80+ checkpoints—ensure all rules perform with high quality; troubleshoot and automate when issues arise.
- Tasks distributed via Jira board (sprint planning/grooming cycle).
- Regular standups (at least twice a week; daily if needed).
- Onboarding requires more interaction with Engg/Product/US Risk core teams; later, ~50/50 split.
- Work primarily within Jira for task assignments and tracking.
- Code maintained in centralized GitHub repo.
- Documentation in wiki pages or SharePoint/shared drives.
Compelling Story & Candidate Value Proposition
- Why this role is interesting: Design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems.
- Collaborate closely with cross-functional teams to set a new global standard for efficacy and innovation.
- Address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities.
Candidate Requirements
- Top 3 Must-Have Skills (stack-ranked):
- BigQuery, Python
- Understanding of production systems architecture and offline data overview
- Machine Learning experience
- Nice to Have: Risk and fraud experience or business acumen; experience working directly with engineers.
- Years of Experience: 6+
- Degrees/Certifications: Master’s preferred; solid BS acceptable (STEM only).
Compensation: $50-$55/hour
Tags & focus areas
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