Risk Analyst

Mountain View, California, United States

3 - 7 Years

Permanent

Job Description

Designation: Associate
Level: L2/L3
Location: Mountain View, California, United States
Experience: 3–7 years

Latent View Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and leverage 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, Latent View Analytics enables leading global brands to identify new revenue opportunities, anticipate product trends and customer preferences, improve customer retention, optimize investment decisions, and transform unstructured data into valuable business assets.

Intuit Quick Books is transforming how small and mid-sized businesses manage their finances through innovative payments and money movement solutions. The Risk Policy team plays a critical role in protecting Quick Books Payments from fraud while ensuring legitimate customers can transact seamlessly.

We are looking for a Risk Analyst to support fraud prevention and risk management across Quick Books' growing fintech ecosystem. This role sits at the intersection of fraud prevention, analytics, customer experience, and business growth
.

You will work closely with Data Science, Product, Risk Operations, Engineering, Finance, and Compliance teams to develop and implement effective risk strategies and controls.

• Partner with cross-functional teams to develop and implement fraud and risk mitigation strategies
  .
• Support the development and enhancement of risk policies and controls across Payments, Banking, Payroll, Bill Pay, and other fintech products.
• Analyze fraud trends, risk events, and emerging threats to identify opportunities for improved detection and prevention.
• Support risk assessments for new products, features, and business initiatives.
• Use data, analytics, AI/ML tools, and automation to improve fraud detection and risk decisioning
  .
• Evaluate risk controls and their impact on fraud, customer experience, retention, and business performance.
• Support innovative risk strategies that enable business growth while maintaining a secure and trusted payments ecosystem.
• Collaborate with internal teams and external vendors to leverage data and intelligence for fraud prevention.
• Stay informed about emerging fintech fraud trends, payment risks, and industry best practices
  .
• Communicate analytical findings, recommendations, and risk trade-offs clearly to technical and business stakeholders.

• 3+ years of experience in fraud analytics, risk strategy, payment risk management, or a related field within fintech, banking, or payments.
• Experience analyzing fraud, financial, or transactional data to identify patterns and support risk decisions.
• Familiarity with developing or implementing risk policies, fraud controls, or risk mitigation strategies
  .
• Experience with AI/ML tools, analytics, or automation for fraud detection or risk management is preferred.
• Understanding of payment ecosystems, including ACH, card networks, chargebacks, and bank verification
  .
• Strong analytical and problem-solving skills with the ability to translate data into actionable recommendations.
• Ability to balance fraud prevention, customer experience, and business objectives
  .
• Strong communication and stakeholder-management skills.
• A customer-focused mindset and ability to understand the impact of risk decisions on merchants and consumers.

Quick Books Payments supports millions of small businesses that depend on fast, reliable, and secure money movement. Effective risk management requires finding the right balance between preventing fraud and minimizing unnecessary friction for legitimate customers
.

As a Risk Analyst, you will contribute to the policies, analytics, and risk strategies that help protect the payments ecosystem while enabling customer trust, retention, and business growth.

This is an opportunity to work at the intersection of fintech, fraud, analytics, AI, and customer experience and make a measurable impact at scale.

Job Snapshot

Updated Date

15-09-2026

Job

J_5625

Location

Location Mountain View, California, United States