About the Job: 

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. 

What You'll Do: 

 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. 

What Experience You'll Bring:

• 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, or Python is an asset. 

• Prior experience and knowledge of NM products, services, and organization preferred. 

Skills:

• Cross Functional Partnering & Planning: Facilitates collaboration, communication, coordination, and planning with individuals and teams from different functions within the organization, and who have different areas of expertise, to achieve common goals.

• Fraud Detection & Prevention: Investigates suspicious activities, analyzes data for irregularities, and implements measures to mitigate risks. Employs various techniques, such as data analysis, pattern recognition, and the implementation of preventive controls, to safeguard against fraudulent behavior within an organization or system.

• Risk Consulting: Identifies, understands, and facilitates discussions/processes and provides recommendations/resources to manage risk in collaboration with business and process owners. ​

• Interpersonal Savvy: Relates well to all kinds of people inside and outside of the organization. Builds appropriate rapport, constructive and effective relationships. Uses diplomacy and tact and diffuses high-tension situations comfortably.

• Control Analysis: Monitors controls to ensure they are in place, operating as intended, and effective, and then identifies gaps and weaknesses that could result in risks.

• Business Acumen: Applies knowledge of both general and organization-specific business issues/financial implications for the organization to problem solve.

• Data collection & analysis: Gathers, stores, accesses, and uses information collected via quantitative (e.g., surveys or usage data) or qualitative methods (e.g., interviews, focus groups, document analysis). Analyzes data to uncover patters and insights to inform business decisions.

#LI-Hybrid