Senior Fraud and Risk Analyst

Intuit; Mountain View (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Senior Fraud and Risk Analyst to enhance risk control governance. In this pivotal role, you will collaborate with cross-functional teams to assess the effectiveness of controls and validate complex models. Your analytical skills will be essential in interpreting data and driving improvements in governance processes. This position offers a unique opportunity to influence decision-making and streamline operations within a dynamic financial services environment. If you are passionate about risk management and data-driven solutions, this role is perfect for you.

Qualifications

• 4+ years in auditing, controls testing, or model validation.
• Bachelor's in STEM or equivalent experience required.

Responsibilities

• Test effectiveness of risk controls and validate models.
• Analyze data and document findings for stakeholders.
• Drive remediation efforts and enhance testing processes.

Skills

R

Python

SQL

Communication Skills

Analytical Mindset

Project Management

Education

Bachelor’s degree in STEM

Master’s degree in quantitative finance

Tools

Tableau

Quicksight

Job description

Intuit QuickBooks is on a mission to transform financial services for small and mid-market businesses through its money movement platform. To achieve this, the Analytics, Governance, and Sanctions Operations organization is looking for a strong risk and control governance Senior Fraud and Risk Analyst to transform and strengthen our first line of defense controls testing and independent model validation program.

As a Senior Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to test the effectiveness of risk controls and validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase both control and model performance. More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.

Responsibilities

• Identify, evaluate, and document testing of controls and independent validation of models, systematically retaining documents that substantiate testing and validation results.
• Conduct detailed walkthroughs and inspection testing with cross-functional teams to determine control effectiveness, identify gaps, and propose recommendations according to the test plan/schedule.
• Validate performance and oversee the creation and usage of complex machine learning models.
• Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations.
• Deep-dive into problems and debug issues to drive the conversation forward across teams.
• Create and maintain regular reporting on control testing and model validation results in accordance with established timeframes.
• Drive remediation efforts, create and track action plans, and support the resolution of issues to mitigate testing and model validation findings with stakeholder groups.
• Document and communicate findings and recommendations concisely to non-technical audiences, both in verbal and written presentations.
• Develop procedures, dashboards, alerts, scripts, and/or other automations to increase efficiency and productivity in risk control testing and model validation.
• Build strong relationships and trust with business partners and stakeholders to ensure control testing and model validation findings receive appropriate visibility with timely resolution.
• Perform insightful analyses of risks and complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to controls and/or models.

Minimum Requirements

• 4+ years of work experience in auditing, controls testing, model validation, or other related subject areas.
• Bachelor’s degree (Master’s degree preferred) in STEM, quantitative finance, or equivalent work experience.
• Experience with R, Python, and advanced SQL skills and proficiency in visualization tools such as Tableau, Quicksight, or others.
• Experience and passion with automating manual processes and streamlining work systematically.
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams.
• Team player with proven relationship-building skills and comfortable interacting with different levels of leadership.
• Clear understanding of risks, controls, and testing methodologies.
• Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results.
• Strong analytical mindset, business acumen, and a drive/curiosity for continuous learning.
• Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus.
• Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results.
• Experience in Fintech is preferred.