Fraud Model Consulting Lead

About the Role

In this role, you'll have the opportunity to work with a wide range of customers, from fintech startups to established financial institutions, and help them leverage Plaid's financial network data to prevent fraud and improve their overall financial health. You'll be part of a dynamic team that's passionate about unlocking financial freedom for everyone, and you'll have the chance to make a real impact on the way people interact with their finances.

Plaid's commitment to innovation and customer satisfaction means that you'll be working in a fast-paced, agile environment that's always looking for new ways to improve and expand its offerings. As a Fraud Model Consulting Lead, you'll be expected to stay up-to-date with the latest trends and developments in fraud prevention, machine learning, and financial services, and to apply that knowledge to drive business growth and customer success.

What You Will Do

• Own the retro and POC process end-to-end, collaborating with customers and internal stakeholders to deliver high-quality results
• Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products
• Drive post-retro follow-through to convert retro results into production usage, ensuring that customers are getting the most out of Plaid's solutions
• Serve as a feedback loop between customers and product to drive our Protect roadmap, providing valuable insights and recommendations for improvement
• Develop and maintain strong relationships with key customers, working to build trust and deliver value through Plaid's fraud products
• Collaborate with data science teams to understand the output of machine learning models and develop effective strategies for communicating complex data insights to non-technical stakeholders
• Work with internal stakeholders to identify and prioritize opportunities for growth and expansion, developing strategic plans to drive business development
• Stay up-to-date with industry trends and developments, applying that knowledge to drive innovation and improvement in Plaid's fraud products and services
• Develop and deliver presentations, reports, and other materials to communicate results and recommendations to customers and internal stakeholders
• Provide training and support to customers, helping them to get the most out of Plaid's fraud products and services

What We Are Looking For

• 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain
• Experience working closely with data science teams, including machine learning engineers and data analysts
• Strong background in consultative customer engagements, including experience owning deliverables and relationships
• Comfort interpreting machine learning model output, including precision/recall, score distributions, and other key metrics
• Ability to communicate complex data insights to non-technical stakeholders, including customers and internal stakeholders
• Strong business acumen, including experience developing and executing business strategies and plans
• Experience working in a fast-paced, agile environment, with a proven ability to prioritize tasks and manage multiple projects simultaneously
• Strong interpersonal skills, including experience building and maintaining relationships with customers, internal stakeholders, and other key partners
• Bachelor's degree in a relevant field, such as computer science, mathematics, or economics

Nice to Have

• Background in data science or machine learning engineering, particularly in fraud or risk teams
• Experience in fraud, identity, or risk, either from a fraud prevention vendor, a fraud team at a bank or fintech, or consulting on risk engagements
• Familiarity with Plaid's products and services, including Protect and other fraud prevention solutions
• Experience working with large datasets and developing data-driven insights and recommendations
• Strong programming skills, including experience with languages such as Python, R, or SQL

Benefits and Perks

• Competitive salary and benefits package, including health insurance, retirement savings, and paid time off
• Opportunity to work with a dynamic and innovative company that's changing the way people interact with their finances
• Collaborative and supportive work environment, with a team that's passionate about unlocking financial freedom for everyone
• Professional development opportunities, including training, mentoring, and education assistance
• Flexible work arrangements, including remote work options and flexible hours
• Access to the latest tools and technologies, including machine learning and data science software
• Recognition and reward for outstanding performance, including bonuses and other incentives

• Develop a strong understanding of machine learning models and their applications in fraud prevention, including precision/recall, score distributions, and other key metrics.
• Build a portfolio of examples that demonstrate your experience working with customers and internal stakeholders to drive business growth and customer success.
• Prepare to talk about your experience working with data science teams and developing data-driven insights and recommendations.
• Research Plaid's products and services, including Protect and other fraud prevention solutions, to demonstrate your knowledge and interest in the company and role.
• Be ready to discuss your experience working in fast-paced, agile environments and your ability to prioritize tasks and manage multiple projects simultaneously.
• Consider highlighting any experience you have working with large datasets and developing data-driven insights and recommendations.
• Think about how you can demonstrate your ability to communicate complex data insights to non-technical stakeholders, including customers and internal stakeholders.