Intuit Senior Fraud Risk Strategy Analyst 

United States, California, Mountain View 

81365664

• Partner with our fraud strategists to design new lending products, develop automation driven fraud risk policies, and drive more efficient fraud prevention and detection.
• Conduct data quality audits and assurance on implemented tags, identify data collection issues, propose improvements, and oversee their implementation
• Evaluate all the possible data sources by exploring different products in the consumer lending ecosystem. Plan and design together with data scientists and data engineers on our data architecture, pipeline and features.
• Be a great thought leader to ensure all the business needs are met and all corner cases are evaluated and checked in our data ETL process.
• Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
• Use cloud-based databases (e.g. S3, EMR and SageMaker in AWS, Spark) to mine massive scale transactional data to fraud risk analyses and translate those into actionable business opportunities.

• Build ownership and leadership by working collaboratively with business partners (product development, product management, marketing, data engineering, compliance, underwriting team etc.) to design new products to increase our market share.

• Team player with experience working on cross functional groups toward shared outcomes.Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously

• MS/PhD in related fields such as Statistics, Operational Research, Industry Engineering, Computer Science etc. Or bachelor’s degree in same fields with 4+ years equivalent practical experience
• Have a track record of related work experience in data exploration and data pipeline development works under defined business scope and large-scale transactional datasets
• Experience or knowledge of the following decision platforms is beneficial but not required: Camunda, Provenir, FICO Blaze, Powercurve, SAS RTDM, Zoot, Drools, OpenCPU
• Familiarity with the concepts of business process modeling notation (BPMN) or decision model notation (DMN) is advantageous
• Proficient in data query, data processing and analytics tools (i.e. SQL/Hive/Hadoop/Tableau)
• Knowledgeable with data tools and frameworks (i.e. Python, Java, R, Spark)
• Familiar with engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
• Detail oriented and with great vision on how to develop data-driven products
• Excellent communication skills and ability to learn fast, and confidence in taking ownership
• Able to work in a fast-paced working environment

Bay Area California $144,000 - $195,000

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