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Overview

Intuit Inc. is committed to powering prosperity around the world for consumers, small businesses, and the self-employed through its ecosystem of innovative financial management solutions. To achieve this, the Fintech Risk team is looking for a strong analyst to help prevent risk and support customer growth and protection.

As a Staff Fraud & Risk Analyst, you will be focusing on Data Analytics Capabilities and Deep Dive Analysis within Intuit’s money movement product space. You will partner with a wide range of teams to understand our business, products, data, and data pipelines. You will deep dive into data and business opportunities, deliver data-driven insights, and work with cross functional teams to drive innovative change.

What you'll bring

+ Strong business acumen and exceptional analytical ability with 5+ years of industry experience with data analysis/data science/operation research

+ 5+ years of experience in modern advanced analytical tools and programming languages such Python with pandas, matplotlib, and scikit-learn etc. Databricks experience preferred and experience with AWS kit is plus

+ Fluent in Python, SQL, Hive, and analytical BI tools such as Tableau, QuickSight etc.

+ Hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, anomaly detection etc.

+ Ability to simplify stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders

+ Proactive and inquisitive learner, seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances

+ Outstanding communications skills with both technical and non-technical colleagues, with a proven ability to think critically, iterate quickly, and partner across a wide variety of functions to drive changes

+ BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent

How you will lead

+ Use advanced data skills, analytics techniques, and predictive analytics in developing insights and analyses

+ Develop statistical model/anomaly detection and investigate anomalies to monitor and help prevent the potential risk/issue in business

+ Develop data capabilities, self-service capabilities, and analytical capabilities to streamline and automate the analytical processes, drive discussions, facilitate decision making, and deliver actionable insights by partnering with stakeholders

+ Apply operations research and statistical methods to optimize operation strategies with ROI evaluations, buffer/queuing management and capacity planning etc.

+ Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist

+ Identify opportunities and influence partners to act

+ Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.