Fraud Risk Strategy Analyst – Payments

LatentView Analytics; Mountain View (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

LatentView Analytics in Mountain View, CA is seeking an experienced Fraud Risk Strategy / Payments Risk Analyst to shape risk policy for fintech products. You will design controls that protect the platform while preserving a seamless merchant experience and collaborating with product, engineering, and data science teams.

The ideal candidate has 4+ years in fraud analytics or payments, deep knowledge of ACH and card networks, and hands-on experience with AI/ML in risk decisioning.

Qualifications

• 4+ years of experience in fraud analytics, risk strategy, or payments.
• Strong knowledge of payment ecosystems (ACH, card networks, chargebacks).
• Experience using AI/ML or automation frameworks for fraud detection.
• Proven ability to design risk policies balancing prevention with customer experience.

Responsibilities

• Design, implement, and optimize fraud risk policies for payments and fintech products.
• Balance fraud loss prevention with customer experience and merchant growth.
• Conduct risk assessments for emerging fraud threats and new product launches.
• Translate analytical findings into actionable policy improvements.
• Partner with Product, Engineering, and Data Science to integrate AI/ML-driven risk decisioning.
• Present risk insights and recommendations to stakeholders.

Skills

Fraud analytics

Risk strategy

Payment risk management

AI/ML risk decisioning

Stakeholder collaboration

Analytical thinking

Communication skills

Customer-first risk controls

Tools

AI/ML tools

Automation frameworks

Job description

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Experience: 4-6 Years

Location: Mountain View, California, United States

We are looking for an experienced Fraud Risk Strategy / Payments Risk Analyst to support risk policy development for QuickBooks Payments and other fintech products.

This role is focused on designing and optimizing fraud risk controls that protect the business while maintaining a seamless experience for legitimate merchants. The ideal candidate should have strong experience in fraud analytics, payment risk management, risk policy design, and stakeholder collaboration.

Key Responsibilities:

• Design, implement, and optimize fraud risk policies for payments and fintech products.
• Balance fraud loss prevention with customer experience, merchant retention, and business growth.
• Conduct risk assessments for emerging fraud threats, new product launches, and evolving customer needs.
• Analyze merchant escalations, chargeback patterns, return anomalies, and risk intervention outcomes.
• Translate analytical findings into actionable policy improvements.
• Evaluate the impact of risk policy changes on fraud reduction, legitimate transaction approval, merchant processing volume, and churn risk.
• Partner with Product, Engineering, Customer Experience, and Data Science teams to integrate AI/ML-driven risk decisioning into policy frameworks.
• Present risk insights, trade-offs, and recommendations to technical and business stakeholders.

Required Qualifications:

• 4+ years of experience in fraud analytics, risk strategy, payment risk management, fintech, banking, or payments.
• Strong understanding of payment ecosystems, including ACH, card networks, chargebacks, and bank verification flows.
• Experience using AI/ML tools or automation frameworks for fraud detection, risk decisioning, and emerging pattern identification.
• Proven ability to design risk policies that balance fraud prevention, customer experience, and business growth.
• Strong analytical, problem-solving, and communication skills.
• Customer-first approach with the ability to design controls that protect the platform without creating unnecessary friction for legitimate merchants.

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.