Job Description

Overview We are looking for our next amazing team member. If you are passionate about fraud identification, deterrence, and mitigation activities and love working in an exciting environment, this role in our FinTech Risk Operations organization may be for you. The ideal candidate will have a background in fintech or banking, and dedicated experience identifying and analyzing emerging fraud patterns and driving continuous operational and system enhancements to prevent financial fraud.

This role is hybrid with on-site expectations of ~3 days per week in order to build relationships and has the potential for ~10% domestic travel, especially as you are initially learning about Intuit and our products. Must be able to work extended hours and/or holidays during peak fraud analysis periods.

The focus is on complex, non-routine investigations. You will be responsible for identifying emerging fraud patterns, digging deep into data anomalies, and driving operational enhancements to prevent financial loss using both system generated reporting and your own self created analytics.

Key Responsibilities

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  Complex Investigations: Go beyond standard queue work to investigate complex, high-risk cases and anomalies that require deep-dive analysis and critical thinking.
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  Technical Data Analysis: Actively use SQL and advanced spreadsheet modeling to query databases, analyze large datasets, and validate hypothesis regarding fraud trends.
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  Root Cause Analysis (RCA): Identify the underlying causes of fraud incidents and clearly summarize findings in writing to influence process changes and close gaps.
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  Cross-Functional Collaboration: Collaborate with Product, Engineering, and Policy teams to ensure fraud mitigation strategies are effectively implemented and target KPIs are met.
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  Trend Identification: Stay current on industry and technology trends to proactively identify new risk factors and contribute to the wider Risk Management community.

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  Operational Improvement: Develop business cases to drive holistic improvements aimed at identifying fraud earlier or streamlining the response process.

Responsibilities

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  Develop and maintain expertise on each of financial products (technology and tools) to identify, troubleshoot and constantly assess new risk factors.
• Keep current on industry, technology, and fraud trends and proactively contribute toward the Risk Management community.
• Analyze data through a combination of existing reports and through queries you develop to thoroughly investigate anomalies and apply mitigation strategies.
• Review queued cases and independently determine if the reviewed attributes are fraudulent or legitimate.
• Provide feedback on current fraud prevention, detection, and mitigation strategies and assist in developing operational policies and procedures.
• Participate in complex fraud tactical teams, including assessment, quantification and operational mitigation efforts.
• Collaborate on multiple cross functional teams and contribute to target KPIS being met within the specified timelines.

Qualifications

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  Experience: 4 – 6 years of experience in fraud analysis, forensic investigations, or risk management within the fintech, e-commerce, or financial services industry.

• Technical Expertise:

  • Intermediate SQL Proficiency: Must be able to write and modify SQL queries to extract and analyze data independently (beyond just running existing reports).

  • Advanced Excel/Sheets: Skilled in the use of spreadsheets for investigation analysis and large case tracking.

• Critical Thinking: Superior critical thinking skills with the ability to navigate ambiguity. You must be able to connect dots across disparate data points where standard operating procedures (SOPs) may not yet exist.
• Communication: Exceptional written and verbal communication skills. You must be able to translate complex investigation details into concise summaries for cross-functional stakeholders.
• Project Management: Ability to balance multiple investigations and deadlines based on criticality and risk exposure.

• Education: Bachelor’s degree in a related field such as Accounting, Finance, Data Science, or Criminal Justice is preferred.

Work Environment & Expectations

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  Hybrid Schedule: This role is hybrid with on-site expectations of ~3 days per week to facilitate collaboration.
• Operational Intensity: Must be able to work extended hours and/or holidays during peak fraud analysis periods.
• Travel: Potential for ~10% domestic travel for training and team alignment.

• Integrity: Must demonstrate the highest level of integrity and professionalism.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Atlanta, GA: $111,000 $130,467 $150,000

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