• Staff Fraud and Risk Analyst

    Intuit (New York, NY)


    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 100M

     

    customers. Intuit’s Consumer Group, including TurboTax, empowers millions of

     

    individuals to take control of their finances. TurboTax simplifies tax preparation and

     

    enables our customers to file with confidence. We leverage data and insights to

     

    innovate and enhance our consumer offerings.

     

    Now, we are expanding our focus to consumer lending and banking within the

     

    Consumer Group, including TurboTax. This role will be crucial in supporting our end-to-

     

    end risk analytics for consumer products. If you are passionate about working in a high-

     

    performing team that drives results through data-driven insights, and understands the

     

    unique risks within Fintech, this role is for you.

     

    We are seeking a Staff Fraud & Risk Analyst as part of our growing Consumer Risk

     

    Analytics team supporting consumer products. The successful analyst will work across

     

    functions (Fraud & Risk policy, Credit risk, Operations, Data Science, Compliance,

     

    Marketing, Product, Finance, etc.) and use data to drive insights which help achieve

     

    Intuit Consumer Business Group’s short and long-term business outcomes. We’re

     

    looking for a candidate who will continue to build a strong analytics culture as part of our

     

    growing team.

    Responsibilities

    Primary Responsibilities

    -Ability to analyze & research large data sets and translate 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 that identify business

     

    opportunities and compare performance against company goals.

     

    -Use forecasting and predictive analytics techniques in developing insights and

     

    communicate/ collaborate with partners on derived impacts to business.

     

    -Collaborate with stakeholders and analysts to ensure analytical solutions are

     

    scalable, repeatable, effective, and meet expectations of various stakeholders

     

    -Use big data technology to mine massive scale transactional data to improve the

     

    fraud and credit risk mitigation strategies and design new risk-adjusted policy

     

    proposals.

     

    -Work with product and technology teams to build risk solutions and collaborate

     

    with risk operations to operationalize solutions and get feedback.

     

    -Provide recommendations utilizing multiple types of data, business knowledge,

     

    and strategic assumptions when data doesn’t exist.

     

    -Build relationships with other functions critical to the team's mission.

     

    -Ensure data collection and data processing is optimized to support new initiatives

     

    and product releases.

     

    -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.

    Qualifications

    Qualifications:

    -Strong analytical ability and proven business acumen with at least 4 years of

     

    relevant experience. Experience in Financial Services or FinTech and consumer

     

    lending preferred.

     

    -Advanced SQL and coding skills to perform data segmentation and aggregation

     

    from scratch.

     

    -Good working experience with data analytics and visualization tools like

     

    Quicksight and Tableau.

     

    -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 looking for business opportunities and drive new

     

    innovations

     

    -Ability to tell stories with data, educate effectively, and instill confidence,

     

    motivating stakeholders to act on recommendations

     

    -Able to work in a fast-paced working environment, multitask, balancing short &

     

    long term strategic implications to meet or exceed business objectives

     

    -Bachelor’s degree in economics, Science, Math or other Quantitative Field, or

     

    commensurate experience.

     

    Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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: New York City, NY $168,500-$228,000

     

    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.