Risk Operations Analyst

present of AI; Dublin; Hybrid; EUR 50,000 - 70,000; Full time

Job summary

Inscribe is seeking a Risk Operations Analyst to monitor fraud alerts, review suspicious documents, and refine detection rules to improve accuracy. The role emphasizes judgment, data literacy, and clear written notes explaining why cases are flagged or cleared.

The position centers on real loan and account applications and enhancing the system’s ability to catch bad documents. As the work sits near AI-driven scoring, the analyst focuses on edge cases, pattern detection, and rule quality, while

Qualifications

• Careful judgment in evaluating fraud indicators.
• Comfort with data and dashboards.
• Ability to document reasons for flagging or clearing cases.

Responsibilities

• Monitor alerts and review suspicious documents and cases.
• Tune and refine detection rules to reduce false positives.
• Explain decisions to customers and auditors, and document findings clearly.

Job description

A Risk Operations Analyst in fraud detection typically monitors alerts, reviews suspicious documents and cases, and tunes detection rules to cut false positives. A strong candidate brings careful judgment, comfort with data and dashboards, and clear written notes on why a case was flagged or cleared. Because the employer builds document fraud detection for lenders, the work centers on real loan and account applications and on improving how well the system catches bad documents.

How it fits the AI era

AI does much of the first pass now, scoring documents and surfacing likely fraud, so the analyst spends more time on edge cases, patterns and rule quality. Judgment about context, customer harm and when to accelerate stays human, as does explaining decisions to customers and auditors. The role sits close to the model, feeding back what it misses.

How it builds AI experience

This role builds hands on experience with AI fraud scoring in a live lending setting, including reading model output, spotting drift and writing rules that sharpen detection. It suits someone who wants practical exposure to how detection systems behave on real documents rather than theory. Building that means learning to question scores, document patterns and test changes against past cases.

Worth showing

• Detection rule tuning
• Document verification
• Clear case notes
• Pattern spotting

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Inscribe

AI-powered document fraud detection and risk intelligence for banks, credit unions and fintech lenders.