Fraud Technology & Risk Consultant
Northwestern Mutual · Milwaukee, WI · 1 mo ago
Hybrid$81k/yrFull-time
About the role
The Fraud Technology & Risk Consultant will work within the Anti-Fraud Department and with business areas across the enterprise to build and scale fraud prevention, detection and automation capabilities that reduce fraud loss, improve detection precision, and enable investigations.
Responsibilities
- Stays abreast of financial crimes trends, relevant regulations and compliance standards to help ensure we’re continually advancing our anti-fraud technology in line with enterprise needs and expectations.
- Improve operational effectiveness and efficiency through scripting and orchestration tools aimed at preventing and detecting fraudulent activity.
- Design, develop, and maintain automation scripts and workflows to increase alert quality and reduce manual effort.
- Apply new perspectives and creative problem solving to provide strategic and tactical input and assistance for the development and improvement of anti-fraud capabilities.
- Consult and collaborate with the investigative team and others as fraud incidents occur to provide technical expertise, guidance and thought leadership throughout the process.
- Analyze control gaps and breakdowns, provide insights and recommend adjustments to detection capabilities.
- Design and develop fraud reports and dashboards based on department and business client needs.
- Maintain and enhance operational documentation and knowledge base articles.
- Partner with the Asst Director of Anti-Fraud Technology Integration to transition new capabilities into operations.
- Use data to identify trends and drive improvements.
- Coach, mentor and develop peers and provide quality feedback.
- Assist with incident consultation and support anti-fraud technology projects, as needed.
Requirements
- Bachelor’s degree in Cybersecurity, information technology, Computer Science, business or related field.
- Minimum of four to five years of professional experience required.
- Experience with engineering best practices to include analyzing, designing, developing, and deploying capabilities.
- Excellent judgement, decision-making, analytical and interpersonal skills.
- High degree of organizational agility and comfort around senior leadership, demonstrated by the ability to influence, negotiate, communicate and collaborate with all levels of employees.
- Ability to be responsive to changing business needs, translate product requirements into technical requirements, manage and prioritize concurrent assignments, and handle ambiguity.
- Knowledge of risk and regulatory requirements as they apply to financial crimes.
- Experience with development and analytical tools such as PowerBI, MS Excel, and R is required; experience working with Splunk is a plus.
- Working knowledge in programming languages such as SAS, SQL