Intuit
Overview
Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax. This role will be crucial in supporting our end-to-end analytics for consumer lending products. If you are passionate about working in a high-performing team that drives results through data-driven insights in consumer lending spaces, and understand the unique risks within Fintech, this role is for you.
Responsibilities
Analyze and research large data sets, translating insights into risk and business opportunities/requirements.
Develop compelling visualizations that crystallize business opportunities for stakeholders and leaders to make timely decisions.
Design and run data-driven tests and experiments to identify business opportunities and compare performance against company goals.
Use forecasting and predictive analytics techniques to develop insights and communicate with partners on derived business impacts.
Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders.
Use big data technologies to mine massive scale transactional data, improving fraud and credit risk mitigation strategies and designing new risk-adjusted policy proposals.
Work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and obtain feedback.
Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data does not exist.
Build relationships with other functions critical to the team's mission.
Ensure data collection and processing are optimized to support new initiatives and product releases.
Be a team player with experience working on cross-functional groups toward shared outcomes; demonstrate good judgment, creative thinking, and strategic focus while managing multiple key projects simultaneously.
Qualifications
Strong analytical ability and proven business acumen with at least 6 years of relevant experience. Experience in Financial Services or FinTech and consumer lending preferred.
Advanced SQL and coding skills for data segmentation and aggregation from scratch.
Experience with data analytics and visualization tools such as Quicksight and Tableau.
Knowledge of statistical analysis, including A/B and multivariate testing.
Excellent written and verbal communication skills.
High degree of accountability, organization, and empathy.
Experience working with Key Performance Indicator (KPI or OKR) metrics.
Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively identify opportunities and drive innovation.
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
Ability to work in a fast-paced environment, multitask, and balance short- and long-term strategic implications to meet or exceed business objectives.
Bachelor’s degree in economics, science, math, or another quantitative field, or commensurate experience.
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 Intuit’s applicable plans and programs. Pay is based on factors such as job-related knowledge, skills, experience, and work location. To ensure ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
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Responsibilities
Analyze and research large data sets, translating insights into risk and business opportunities/requirements.
Develop compelling visualizations that crystallize business opportunities for stakeholders and leaders to make timely decisions.
Design and run data-driven tests and experiments to identify business opportunities and compare performance against company goals.
Use forecasting and predictive analytics techniques to develop insights and communicate with partners on derived business impacts.
Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders.
Use big data technologies to mine massive scale transactional data, improving fraud and credit risk mitigation strategies and designing new risk-adjusted policy proposals.
Work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and obtain feedback.
Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data does not exist.
Build relationships with other functions critical to the team's mission.
Ensure data collection and processing are optimized to support new initiatives and product releases.
Be a team player with experience working on cross-functional groups toward shared outcomes; demonstrate good judgment, creative thinking, and strategic focus while managing multiple key projects simultaneously.
Qualifications
Strong analytical ability and proven business acumen with at least 6 years of relevant experience. Experience in Financial Services or FinTech and consumer lending preferred.
Advanced SQL and coding skills for data segmentation and aggregation from scratch.
Experience with data analytics and visualization tools such as Quicksight and Tableau.
Knowledge of statistical analysis, including A/B and multivariate testing.
Excellent written and verbal communication skills.
High degree of accountability, organization, and empathy.
Experience working with Key Performance Indicator (KPI or OKR) metrics.
Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively identify opportunities and drive innovation.
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
Ability to work in a fast-paced environment, multitask, and balance short- and long-term strategic implications to meet or exceed business objectives.
Bachelor’s degree in economics, science, math, or another quantitative field, or commensurate experience.
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 Intuit’s applicable plans and programs. Pay is based on factors such as job-related knowledge, skills, experience, and work location. To ensure ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
#J-18808-Ljbffr