Fraud Analyst

Commonwealth Bank • Village of Broadalbin, NY

3d

About The Position

Permanent Full-time opportunity You are a curious and enthusiastic Analyst with a true passion for data and analytics We are a close-knit team who use data to develop and enhance the Group’s fraud detection systems, algorithms, and reporting engines Together we will develop detection strategies and analytic solutions to help protect our customers from falling victim to fraud and scam events. Do work that matters: We're building tomorrow’s bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build Australia’s future economy. See yourself in our team: The Fraud Data Analytics team, part of the Chief Data and Analytics Office, is the backbone of fraud detection for the Group. We support the operations of Fraud and Scams Response Centre, dedicated to safeguarding the monetary assets of CBA and Bankwest customers from fraud and financial loss. Join our dynamic team and make a real impact by: Proactively Identifying Fraud Trends: Be at the forefront of detecting and combating emerging fraud patterns, ensuring our customers and assets are protected. Innovative Rule Development: Analyse customer-detected fraud and craft new rules to prevent similar incidents, staying one step ahead of fraudsters. Optimising Fraud Detection Systems: Maintain and enhance our fraud detection rule suite, supporting the Group Fraud Operations team with effective alert management and minimising false positives. Driving Continuous Improvement: Seek out and implement opportunities to enhance our processes, driving efficiency and excellence. Data-Driven Decision Making: Perform comprehensive data analysis to inform and support critical business decisions, ensuring we stay ahead in the fight against fraud.

Requirements

• Analytical Mindset: Ability to solve problems creatively and think analytically.
• Understanding Fraudster Behaviour: Insight into fraudster psychology to improve detection rules.
• Technical Skills – Proficiency in SQL and SAS for data extraction and manipulation.
• Machine Learning Expertise – Knowledge of how ML can be applied to detect and prevent fraud.
• Proactive Problem-Solving: Ability to suggest and implement practical actions to address emerging fraud trends with tangible outcomes.
• Collaborative Spirit: Ability to work effectively within the analytics community and with stakeholders.
• 2+ years’ experience working in a risk environment within Financial Services is also beneficial

Nice To Haves

• Experience with Python and Tableau is a plus.
• A degree in a quantitative discipline such as mathematics, statistics, computing, science, engineering, or actuarial studies would be highly regarded.

Responsibilities

• Innovating Detection Systems: Continuously improve detection system rules to ensure maximum fraud detection while keeping false positives and detection points low.
• Enhancing Customer Experience: Ensure detection system rules do not negatively impact customer experience.
• Uncovering Insights: Provide valuable insights into trends and anomalies through root cause analysis.
• Building Relationships: Foster effective working relationships with stakeholders to drive collaborative success.
• Managing Challenges: Handle potentially difficult interactions, ensuring appropriate priority and severity levels are assigned.
• Upholding Standards: Adhere to the Code of Conduct, which sets the standards of behaviour, actions, and decisions we expect from our people.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees