We areseekinga highly skilled professional to join our growing Sales organizationas a Fraud Technical Sales Consultant reporting directly to the VP of Existing Business Sales.
In this role,you’llcombine deepexpertisein fraud prevention—including behavioral biometrics and device intelligence—with technical sales excellence to drive new business development and expand existing relationships within the Financial Services sector.
As a key contributor, you will collaborate across Sales, Partner Experts, Onboarding, and Product Management teams to uncover client pain points, ensure product alignment, and deliver solutions that exceed business decision-maker expectations. Success in this role requires a strong understanding of our product suite and the technical requirements for seamless implementation and sustained client value.
Key Responsibilities
Lead discovery sessions to uncover client needs and build trusted relationships throughout the sales lifecycle.
Deliver tailored presentations, demos, and technical workshops; present integration requirements and collaborate on solution design.
Scope and document technical solutions; define Proof of Concepts with success criteria and guide delivery teams.
Stay ahead of fraud and financial crime trends
;contributecompetitor insights and provide thought leadership internally and externally.
5+ years senior-level experience in fraud management at a large bank OR pre-sales consulting in fraud/financial crime technology, with strong technical awareness (OS, cloud platforms, APIs, data formats, databases) and deep understanding of compliance/regulatory frameworks.
Exceptional communication, analytical, and problem-solving skills; willingness to travel and work cross-functionally in a fast-paced environment.
Required Qualifications
Technicalproficiencyin cloud computing, APIs, and data integration.
Expertise infraud prevention and financial crime risk solutions.
Strong presentation and client engagement skills.
Analytical and problem-solving capabilities.
Knowledge of regulatory frameworks and compliance standards.
Preferred Qualifications
Experience with CRM systems (Salesforce preferred).
Familiarity with statistical modeling and machine learning.
Knowledge of enterprise architecture and AI-driven solutions.
Location
This position canbelocatedin Toronto, St. John's, New York, or Atlanta andoffers the opportunity for a hybrid work environment (at least 3 days a week in office, subject to change), providing flexibility and accessibility for qualified candidates.
Come as you are
Nasdaq is an equal opportunity employer. We welcome people from all backgrounds and identities. If you need any accommodation during the hiring process, just let us know.
Benefits & Rewards
We offer a competitive, well-rounded rewards package that supports you and your family — inside and outside of work.
Learn more onour.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
What We Offer
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
The base pay range for this role is $98,100 - $163,500. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth.Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business…
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