We are the Fraud Risk Management team, operating as a key function within the Risk Operations Vertical of the broader Risk Organisation. Our vertical serves as the operational backbone of the Risk Org, responsible for translating risk strategies into real-time execution, monitoring, and measurable outcomes. Our teams core mandate is the identification, assessment, and mitigation of fraud risks with a specialised focus on cross-border transactions, where multi-regional complexity creates a constantly evolving threat landscape. We are a highly skilled and dedicated group of professionals who design and deploy advanced rule-based frameworks and logic systems capable of detecting anomalies, flagging suspicious patterns, and identifying irregular consumer behaviour across virtually any transactional parameter. Our rule-building capabilities allow us to rapidly respond to emerging fraud trends, continuously optimise detection models, and strike the right balance between effective fraud prevention and a seamless customer experience. In doing so, we serve as a critical line of defence within the organisation contributing frontline intelligence and data-driven insights that shape risk decisions across the entire Risk Org.

About the Role:

We are seeking a talented Risk and Fraud Data Analyst to deliver data analytics support and meaningful insights to our team. The ideal candidate will be comfortable navigating complex datasets and capable of building robust frameworks to automate dashboards, metrics, and reporting using Python and SQL.

Responsibilities:

Serve as a central hub for intelligence gathering, data analysis, risk mitigation, and fraud assessments that inform decision-making across the Risk portfolio
Develop actionable roadmaps to continuously improve and automate existing workflows and processes
Interpret complex datasets and analyse results using advanced analytics, research methodologies, and statistical techniques
Monitor and evaluate key performance indicators, deliver ongoing reports, and recommend data-driven improvements
Identify and implement opportunities to enhance data quality and business processes through Python and SQL solutions
Perform queries across multiple platforms to identify trends and anomalies within transaction data, drawing accurate and timely conclusions

Requirements:

Proficiency in Microsoft Excel and SQL, with a proven ability to deliver high-quality data analysis for internal teams and stakeholders
Hands-on experience with Python is essential
Strong attention to detail with a structured, analytical mindset
Ability to work independently and collaboratively in a fast-paced, international environment

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

P2 Associate Manager - RiskOps

Job Description

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