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For Companies At a Glance
- Tasks: Lead innovative projects to combat identity fraud and enhance digital trust.
- Company: Join Equifax, a leader in data analytics and fraud prevention solutions.
- Benefits: Enjoy flexible work options, competitive salary, and professional development opportunities.
- Why this job: Be part of a dynamic team driving impactful solutions in a fast-paced environment.
- Qualifications: 5-7 years in product management; strong analytical and communication skills required.
- Other info: Opportunity to work with cutting-edge AI technology in fraud detection.
The predicted salary is between 43200 - 72000 £ per year.
Product Manager – Identity Verification & Fraud Prevention Equifax is seeking a Product Manager to join the Identity Verification and Fraud Prevention team. Our team is focused on providing cutting-edge solutions that empower businesses to navigate the digital landscape with confidence and trust. In this role, you will develop innovative solutions to combat identity and credit fraud. The ideal candidate will be adaptable, eager to learn, and capable of solving problems across various domains. You will collaborate with engineering, data and analytics, legal and compliance, sales, and marketing teams throughout the product lifecycle. You will define and execute strategies to provide fraud detection solutions, including AI-powered models to detect identity fraud and various credit abuses. You will also foster collaboration to enhance fraud prevention capabilities across the industry. What you’ll do Market Opportunity Assessment: Analyze the market, competition, and identify opportunities. Product Definition: Define product requirements and partnership opportunities. Product Strategy & Planning: Communicate product vision, develop business cases and roadmaps, and track KPIs. Product Delivery & Launch: Write requirements, support releases, and contribute to prioritization. Growth & Portfolio Management: Monitor product performance, manage offerings, analyze data, and partner with stakeholders. Develop AI and machine learning models for fraud detection. Create solutions for synthetic identity fraud, identity theft, and first-party fraud. What experience you need Bachelor\’s degree preferred; equivalent experience considered. 5-7 years in product management or business analysis in a Technology, Financial Services, or Data & Analytics organization. Experience with Agile and/or project management methodologies. Ability to write detailed product requirements. Ability to coordinate in a matrixed environment. Understanding of cloud-based products and services. Experience with product tools (e.g., Aha, JIRA, Figma). Strong communication and collaboration skills. Analytical and problem-solving skills. Ability to develop work plans and meet deadlines. Understanding of customer needs and market trends. Technical understanding of products. What could set you apart Strong understanding of identity verification and fraud prevention. Experience developing and launching AI products. Familiarity with computational models and statistical analysis. Experience with machine learning model architecture, deployment, and management. Demonstrated ability to influence others and drive innovation and growth. #J-18808-Ljbffr
Product Manager - Identity Verification & Fraud Prevention employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Identity Verification & Fraud Prevention
✨Tip Number 1
Familiarise yourself with the latest trends in identity verification and fraud prevention. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work in product management roles related to fraud detection. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Showcase your experience with AI and machine learning in practical scenarios. Be prepared to discuss specific projects where you've applied these technologies to solve real-world problems, as this is a key aspect of the role.
✨Tip Number 4
Prepare to discuss how you would approach market opportunity assessments and product strategy. Having a clear framework or methodology in mind will impress interviewers and show that you're ready to hit the ground running.
We think you need these skills to ace Product Manager - Identity Verification & Fraud Prevention
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly in identity verification and fraud prevention. Use specific examples that demonstrate your ability to develop innovative solutions and collaborate with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for combating identity and credit fraud. Discuss how your background aligns with the job requirements and mention any experience you have with AI-powered models or fraud detection solutions.
Showcase Your Analytical Skills: Provide examples of how you've used analytical skills to assess market opportunities or improve product performance. Highlight any experience with data analysis or machine learning models that relates to the role.
Demonstrate Communication Skills: Since strong communication is key for this role, include instances where you've successfully communicated product vision or collaborated with various stakeholders. This will show your ability to thrive in a matrixed environment.
How to prepare for a job interview at Equifax, Inc.
✨Showcase Your Analytical Skills
As a Product Manager in Identity Verification and Fraud Prevention, you'll need to demonstrate strong analytical abilities. Be prepared to discuss how you've previously assessed market opportunities or analysed data to inform product decisions.
✨Highlight Collaboration Experience
This role requires working closely with various teams. Share specific examples of how you've successfully collaborated with engineering, sales, or marketing teams in the past to deliver a product or solve a problem.
✨Demonstrate Technical Understanding
Familiarity with AI and machine learning is crucial for this position. Brush up on relevant technical concepts and be ready to explain how you've applied them in your previous roles, especially in fraud detection or identity verification.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in product management and how you approached them, particularly in relation to fraud prevention and identity verification.
