sift - Professional Services Consultant
Requirements
• Experience implementing fraud prevention platforms at a leading fraud technology provider; or • Hands-on experience as a Fraud Analyst, Fraud Operations Manager, Risk Analyst, or Fraud Strategy Professional responsible for managing fraud programmes. • You will act as a trusted advisor throughout the customer lifecycle, helping organisations reduce fraud losses, improve approval rates, streamline operations, and build effective risk strategies. • Bachelor's degree in Business, Information Technology, Computer Science, or a related field. • 4–8+ years of experience in fraud prevention, fraud operations, risk management, professional services, solutions consulting, or a related field. • Experience implementing or managing fraud detection and prevention solutions. • Strong understanding of fraud typologies including payment fraud, account takeover, synthetic identity, onboarding fraud, promotion abuse, and policy abuse. • Experience working directly with customers or stakeholders in a consultative capacity. • Ability to translate business requirements into practical fraud solutions. • Strong analytical and problem-solving skills. • Excellent communication, presentation, and stakeholder management skills. • Familiarity with APIs, JSON, web technologies, and SaaS implementation methodologies. • Travel up to 30%. • Ability to work flexible hours to provide coverage to West Coast & European customers. • Experience working at a fraud technology provider such as Sift, Forter, SEON, Riskified, Feedzai, Sardine, or similar organisations. • Previous experience as a Fraud Analyst, Fraud Operations Manager, Risk Manager, or Fraud Strategy Lead. • Experience supporting e-commerce, fintech, payments, marketplaces, gaming, banking, or digital platforms. • Knowledge of machine learning-based fraud detection, risk scoring, and decisioning systems. • Experience managing multiple customer implementations simultaneously. • Project management certification or equivalent experience.
Responsibilities
• Customer Implementation & Solution Delivery: • Lead customer onboarding and implementation projects from discovery through go-live. • Gather business, operational, and technical requirements to design effective fraud prevention solutions. • Configure and optimize fraud workflows, rules, decisioning logic, risk thresholds, and case management processes. • Partner with customer technical teams to support API integrations and deployment activities. • Develop implementation plans and success criteria aligned to customer objectives. • Fraud Strategy & Advisory: • Advise customers on fraud prevention best practices across payments, account takeover, onboarding, identity, abuse, and emerging fraud threats. • Analyse customer fraud trends, operational workflows, and performance metrics to identify optimisation opportunities. • Recommend strategies that balance fraud reduction, customer experience, operational efficiency, and revenue growth. • Conduct fraud strategy workshops and executive business reviews with key stakeholders. • Technical Consulting: • Serve as a subject matter expert on fraud detection technologies, risk decisioning, and platform capabilities. • Support customers in interpreting risk signals, model outputs, and fraud performance metrics. • Collaborate with Product, Engineering, Customer Success, and Support teams to resolve complex customer challenges. • Translate customer requirements into scalable solution designs and product feedback. • Training & Enablement • Deliver customer training and knowledge transfer sessions. • Create implementation documentation, best practice guides, and operational playbooks. • Enable customers to independently manage and optimise their fraud programmes. • Cross-Functional Collaboration • Partner closely with Sales, Customer Success, Product, Engineering, and Support teams to ensure successful customer outcomes. • Share customer insights and industry trends to influence product roadmap and innovation. • Contribute to internal best practices, implementation methodologies, and consulting frameworks. • Successfully deliver customer implementations and migrations. • Become a trusted advisor for fraud strategy and solution optimisation. • Help customers reduce fraud losses while maintaining strong customer experience and approval rates. • Contribute to implementation best practices that improve customer outcomes and time-to-value. • Let’s build it together: • At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet. • This document provides transparency around how Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy
Benefits
• Estimated On Target Earnings $130K – $185K • Offers Equity • The anticipated starting on-target earnings range for this role is listed above. This role may also be eligible for equity and other benefits. Sift takes into account many factors in determining compensation, including level, location, transferable skills, work experience, business needs, and market demands. Therefore, the pay range / final offer may change or be modified in the future. • on-target earnings range • Legal first and last name • or drag and drop here • Please list the location where you expect to work. • Yes, I will require visa sponsorship for employment with Sift now or in the future • No, I will not require visa sponsorship for employment with Sift now or in the future • Select all that apply • American Indian or Alaskan Native • Black or African American • Hispanic or Latinx • Native Hawaiian or Other Pacific Islander • Southeast Asian • I prefer not to say • A race, ethnicity, or origin not shown • My gender identity is not listed • They/Them/Theirs • Prefer not to say • I am not a protected veteran • I identify as one or more of the classifications of a protected veteran • Prefer not to say • Yes, I have a disability or previously had a disability • No, I don't have a disability • Prefer not to say • This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/legal-and-compliance/sift-global-recruitment-notice • Yes, I acknowledge Sift’s Global Recruitment Privacy Notice • Recruiting Privacy Policy
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