Staff Loss Forecasting Lead jobs at Intuit in United States, Mountain View

• Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company
• Drives significant technology initiatives end-to-end, including horizontal layers of the architecture
• Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems
• Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment
• Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership
• Knowledge of building AI native applications
  • Guides theapplicability of AI to customer problemsthrough a deep understanding of the value and limitations of AI technologies
  • Understands evaluation tools to validate andmeasure the accuracyof solutions
  • High-level understanding of how AI models work, the differenttypes of AI models that exist, and their pros and cons
  • Understanding of the latest tools and technologies that apply AI to real-world applications
• Creates robust, scalable, and secure technical designs , effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications
• Passionate forcontinuous learning, experimenting, and applyingcutting-edge technology and software paradigms to solve customer problems

Team/ Collaboration:

• Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration
• Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features

Community:

• Contributes to standards, patterns, and best practices that improve the engineering community
• Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements

• Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
• 8+ years of experience developing systems/software for large business environments
• 5+ years of experience designing complex distributed systems, management products, or business applications
• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions
  • Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
  • Experience with at least one of the following:
    • Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
    • Back-end technologies like Java, Typescript, Spring, Express (NodeJS)
• Prior working experience in a cloud computing environment like AWS/GCP is highly desired
• Prior experience working in teams that have built AI native applications for 1+ years
• BS/MS in Computer Science or related area

Team/Leadership Qualifications

• Team player possessing strong analytical, problem-solving, and communication skills
• Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
• Prefers working in a team and collaborates with other cross-functional partners
• Ability to work effectively in a fast-paced, complex technical environment
• Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
• "Self-starter" attitude and the ability to make decisions independently
• Experience driving for results across cross-functional teams while maintaining effective working relationships
• Demonstrated ability to work with global teams across time zones

strategies for voice, tone, patterns, and accessibility; and partnering with product, technical, legal, and compliance partners to create effective and engaging content experiences.

• Lead the development and implementation of content design strategies for a suite of products — specifically, Reporting and Business Intelligence
• Write clear, concise, and engaging content for a variety of audiences and purposes
• Train product designers to effectively employ generative AI writing tools in crafting effective messaging for user flows
• Support product designers in their content work, through coaching sessions or office hours
• Coach and mentor other content designers on voice, tone, patterns, and accessibility. Review and edit content created by other designers
• Collaborate with product managers, engineers, and other stakeholders, including marketing, to ensure that content is aligned with user needs and business goals
• Conduct user research to understand user needs and preferences
• Use data to define success, support hypotheses, and understand trends, collaborating with data partners to gain insights and ensure data usability
• Contribute to roadmapping and planning, making informed decisions
• Create content prototypes and mockups to test with customers
• Present strategic and executional work at all levels of leadership, soliciting and acting on feedback received
• Stay up-to-date on the latest trends in content design and development

• Bachelor's degree in English, Communications, or a related field preferred
• 7+ years of experience in content design or a related field
• Strong portfolio showing content design deliverables, including strategies
• Excellent writing and editing skills
• Experience with content strategy, information architecture, and user experience design
• Strong understanding of design principles and best practices
• Ability to work independently and as part of a team
• Excellent communication and interpersonal skills

Fraud Detection & Investigation

• Monitor alerts and analyze real-time signals to detect suspicious activity (e.g., account takeover, check kiting, synthetic identity, mule activity, ACH fraud, remote access tools).

• Investigate and resolve fraud cases across onboarding, KYC, account funding (e.g., ACH, Plaid, RTP), and account usage stages.

• Leverage fraud tools and external vendor data to review high-risk activity and recommend actions. Data-Driven Analysis
• Analyze fraud trends and patterns using data analytics tools (SQL, Excel, dashboards) to identify emerging threats or gaps in current detection logic.

• Support creation and tuning of fraud detection rules, machine learning models, and velocity checks in collaboration with fraud strategy and data teams.

• Track key fraud KPIs (e.g., fraud loss rates, false positive rates, return reasons like R05/R10) and prepare reports for stakeholders. Operational Efficiency & Documentation
• Respond to fraud-related escalations from customer support and other internal teams.

• Assist in refining workflows and automations to improve response time and operational throughput.

• Document fraud scenarios, case investigations, root cause analysis, and preventive actions.

Cross-Functional Collaboration

• Work closely with compliance, risk policy, customer support, engineering, and external vendors.

• Participate in projects related to new product launches, fraud tooling enhancements, and regulatory reviews (e.g., SAR filings support).

• Provide fraud subject matter expertise in discussions related to account security, identity verification, and payment flows.

Bay Area California $172,000- $232,500

• 5–7 years of experience in fraud operations or fraud analytics, preferably in fintech, banking
• Bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience
• Strong understanding of fraud typologies relevant to consumer financial products (e.g., synthetic identity, phishing/ATO, 1st/3rd party fraud, ACH disputes).
• Experience with fraud tools and platforms (e.g., Alloy, Sift, Ekata, Kount, etc.)
• Proficiency in analyzing fraud data using SQL and/or Excel; familiarity with Looker or other BI tools is a plus.
• Familiarity with banking regulations and fraud return codes (e.g., ACH NACHA rules, Reg E, KYC/AML basics).
• Strong analytical, investigative, and problem-solving skills.
• Excellent communication and documentation skills.

Nice to Have

• Experience in fraud for digital banking, challenger banks, or fintech products.
• Exposure to fraud rules management or machine learning-based detection systems.
• Prior work with ACH return reason codes, dispute handling, or chargeback processes.

This role will involve developing fraud risk policies for our innovative consumer lending products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.

• Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
• Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
• Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
• Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
• Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
• Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
• Must have good judgement with the ability to think creatively and strategically

• Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience. Preferred experience with Fintech and fraud risk in the areas of consumer lending
• Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
• Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
• Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
• Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
• You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
• Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations.

Bay Area California $172,000 - $232,500

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

• 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.

Bay Area California $172,000 - $232,500

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

• 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.
• Knowledge of statistical analysis including A/B and multivariate testing.
• 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.

As the founding Senior Staff Data Scientist working on a brand new product and a strategic bet within the company, you will dive deep into our data to uncover actionable insights and make recommendations that will fuel growth of this new product. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience, and in data-driven decision making.

As a Senior Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our product development and GTM strategies of a brand new product and strategic bet. This role requires a strong background in quantitative analysis, data-driven decision-making, and expertise in working with large data sets.

• Conceptualize business problems or opportunities, formulate hypotheses and goals, dene key metrics and make actionable recommendations
• Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
• Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders

The ideal candidate is a curious, proactive data scientist with experience in building scalable solutions, a strong understanding of customer behavior, and a passion for fintech.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld
• 10+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
• Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
• Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
• Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.
• Technical Skills:
  • Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
  • Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
  • Familiarity with Linux/OS X command line, version control software (git), and general software development
• Preferred Additional Qualifications:
  • Experience solving growth-related problems at financial technology companies serving consumer or SMBs
  • Familiarity with Generative AI and other evolving technologies to accelerate insights from multi-modal data

• Leveraging predictive modeling, advanced analytics and causal inference methods to identify new opportunities to grow the business exploring unit economics, market dynamics, product migration, cross-selling, product growth levers, price/spend optimization, etc.
• Perform end-to-end analytics using advanced SQL, ML and AI to extract business insights that drive tangible value for our customers and result in business growth.
• Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics.
• Disseminate business insights to cross-functional stakeholders and influence decision-making.
• Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.

• 6+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact.
• Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
• Passion for uncovering strategic opportunities and and a strong business acumen and the ability to translate business strategy into testable hypotheses and insights
• High-level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques with a strategic understanding of their application
• Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations.
• Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
• Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
• Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
• Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred. Or equivalent work experience.

Preferred Additional Experience:

• Working knowledge of Consumer Finance platforms’ (e.g., TurboTax) data and business model.
• Understanding of forecasting processes, financial reporting, time value of money, and other financial concepts.
• Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior