Intuit
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Credit Implementation Staff Analyst
role at
Intuit
Overview Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self‑employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100 M customers and is one of the few companies in the world to have both a thriving consumer and small‑business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax, and require a strategic leader to help develop this team. This role will be crucial in supporting our consumer lending initiatives, while navigating the complexities of Fintech Risk, alongside our core tax‑preparation business.
This role will focus on the credit decision engine (Camunda), converting our high‑growth policies into a reality. You will partner closely across many sectors of the organization—product, credit policy, engineering, operations and underwriting—to ensure that each policy you implement directly affects the touchpoints with our customers and continues to offer a highly sought‑after product on our platform.
Responsibilities
Partner with our credit strategists to design new lending products, develop automation‑driven underwriting policies, and drive more efficient acquisitions.
Conduct data quality audits and assurance on implemented tags, identify data collection issues, propose improvements, and oversee their implementation.
Evaluate all possible data sources by exploring different products in the QuickBooks 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 to determine how they might connect with the customer benefits we wish to deliver.
Use cloud‑based databases (e.g., S3, EMR, SageMaker on AWS, Spark) to mine massive‑scale transactional data to credit 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, etc.) to design new products that increase our market share.
Qualifications
MS/PhD in related fields such as Statistics, Operations Research, Industrial Engineering, Computer Science, etc., or a bachelor’s degree in the same fields with 5+ years of equivalent practical experience.
Have a track record of related work experience in data exploration and data pipeline development under a 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 (e.g., SQL, Hive, Hadoop, Tableau).
Knowledgeable with data tools and frameworks (e.g., Python, Java, R, Spark).
Familiar with engineering fundamentals: version control systems (e.g., Git, GitHub) and workflows, and ability to write production‑ready code.
Detail oriented and visionary on how to develop data‑driven products.
Excellent communication skills and ability to learn fast, with confidence in taking ownership.
Able to work in a fast‑paced working environment.
Compensation 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: Mountain View, CA: $172,000 – $232,500
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Software Development
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Credit Implementation Staff Analyst
role at
Intuit
Overview Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self‑employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100 M customers and is one of the few companies in the world to have both a thriving consumer and small‑business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax, and require a strategic leader to help develop this team. This role will be crucial in supporting our consumer lending initiatives, while navigating the complexities of Fintech Risk, alongside our core tax‑preparation business.
This role will focus on the credit decision engine (Camunda), converting our high‑growth policies into a reality. You will partner closely across many sectors of the organization—product, credit policy, engineering, operations and underwriting—to ensure that each policy you implement directly affects the touchpoints with our customers and continues to offer a highly sought‑after product on our platform.
Responsibilities
Partner with our credit strategists to design new lending products, develop automation‑driven underwriting policies, and drive more efficient acquisitions.
Conduct data quality audits and assurance on implemented tags, identify data collection issues, propose improvements, and oversee their implementation.
Evaluate all possible data sources by exploring different products in the QuickBooks 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 to determine how they might connect with the customer benefits we wish to deliver.
Use cloud‑based databases (e.g., S3, EMR, SageMaker on AWS, Spark) to mine massive‑scale transactional data to credit 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, etc.) to design new products that increase our market share.
Qualifications
MS/PhD in related fields such as Statistics, Operations Research, Industrial Engineering, Computer Science, etc., or a bachelor’s degree in the same fields with 5+ years of equivalent practical experience.
Have a track record of related work experience in data exploration and data pipeline development under a 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 (e.g., SQL, Hive, Hadoop, Tableau).
Knowledgeable with data tools and frameworks (e.g., Python, Java, R, Spark).
Familiar with engineering fundamentals: version control systems (e.g., Git, GitHub) and workflows, and ability to write production‑ready code.
Detail oriented and visionary on how to develop data‑driven products.
Excellent communication skills and ability to learn fast, with confidence in taking ownership.
Able to work in a fast‑paced working environment.
Compensation 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: Mountain View, CA: $172,000 – $232,500
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Software Development
#J-18808-Ljbffr