Fraud Technology & Risk Consultant

About the Job:

TheFraud Technology & Risk Consultantwill work withinthe Anti-Fraud Department and with business areas across the enterprise tobuild and scale fraudprevention,detection and automation capabilities that reduce fraud loss, improve detection precision, and enable investigations.

What You'll Do:

 Stays abreast of financialcrimestrends, relevantregulationsand compliance standards to help ensurewe’recontinually 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, andmaintainautomation scripts and workflows to increase alert quality and reduce manual effort.

• Applynew perspectives and creative problem solving to provide strategic and tactical input andassistancefor the developmentand improvement of anti-fraud  capabilities.

• Consult and collaborate with the investigative teamand others as fraud incidents occur to provide technicalexpertise,guidanceand thought leadership throughout the process.

• Analyze control gaps and breakdowns,provideinsightsand recommendadjustments to detection capabilities.

• Design and develop fraud reports and dashboardsbased on department and business client needs.

• Maintain and enhance operational documentation and knowledge base articles

• Partner withthe Asst Director ofAnti-Fraud Technology Integrationto transition new capabilities into operations.

• Use data toidentifytrends and drive improvements.

• Coach,mentorand develop peers and provide quality feedback.

• Assistwith incident consultationand support anti-fraud technology projects, as needed.

What Experience You'll Bring:

• Bachelor’s degree inCybersecurity,information technology,Computer Science,businessor related field.

• Minimum offour to fiveyears ofprofessionalexperiencerequired.

• Experience with engineering best practices to include analyzing, designing, developing, and deploying capabilities.

• Excellent judgement, decision-making,analyticaland interpersonal skills.

• High degree of organizational agility and comfort around senior leadership,demonstratedby the ability to influence, negotiate,communicateand 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 asPowerBI,MS Excel, and Risrequired; 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.

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