Role overview
**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):**
1. BigQuery, Python
2. Understanding of production systems architecture and offline data overview
3. 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