Co-Branded Card Fraud & Credit Risk Analytics Automation Manager — Remote (United States)

Overview

Own hands-on analytics and software-assisted reporting for a co-branded consumer credit program. Consolidate fraud and credit-risk data, build consistent decision labels and backtesting tools, and reduce manual reporting through SQL, Python and AI-enabled workflow automation.

Requirements

• Roughly three to six years of relevant analytics experience; demonstrable capability matters more than an exact tenure threshold.
• Strong SQL and Python proficiency is required.
• Experience with BI and dashboard systems such as Sigma, Tableau or comparable tools.
• Practical use of Git and reproducible analytics workflows.
• Ability to analyze messy, fragmented datasets and deliver useful automation independently.
• Clear written and verbal communication and strong cross-functional initiative.
• LLM prompt engineering, fintech or credit/fraud risk exposure, and experience building new analytics functions are beneficial, not mandatory.

Responsibilities

• Automate redundant risk and fraud reporting and manual analytical workflows.
• Build shared fraud-rule backtesting for account takeover, identity and first-party fraud plus credit risk.
• Consolidate disparate reporting pipelines into reusable analytical datasets.
• Maintain unified risk labeling, reporting definitions and dependency checks.
• Deploy AI/LLM-assisted analytical tools where they reduce repetitive work.
• Report measured productivity, hours saved and fraud analytics effectiveness.
• Collaborate with credit, fraud, operations and data teams on new analytics infrastructure.

Conditions

• Full-time fully remote position within the United States.

Tech stack

• SQL
• Python
• Git