דרושים Senior Treasury Analyst ב-Intuit ב-United States, Mountain View

As a Senior Fraud and Risk Analyst, you will partner with a wide range of cross-functional teams to understand and document our risks and controls, monitor and test the effectiveness of risk controls, and/or validate models to ensure a strong first line of defense control environment. You will deep dive into data and business processes and interact with leaders to showcase end-to-end controls at various stages of the customer lifecycle, control effectiveness, and/or model performance. More importantly, you will drive the transformation of governance work to unlock the power of data and technologies to better serve our business and customers.

• Understand business processes, risks, and controls quickly and in-depth with a focus on assessing and documenting risks and controls for new offerings and initiatives while building strong relationships with stakeholders in Product, Policy, Data Science, Operations, Accounting, and Compliance
• Drive risk and control assessments, including documentation of process narratives, flows, and control definitions that mitigate risk to be maintained within a GRC tool
• Conduct and/or participate in detailed walkthroughs and inspection testing with cross-functional teams to establish controls and determine effectiveness, identify gaps, and propose recommendations
• Identify, evaluate, and document testing of controls and/or independent validation of models, systematically retaining documents that substantiate testing and validation results according to plans
• Develop dashboards and visualization for daily control monitoring capabilities to ensure business processes are working in compliance with risk policies
• Retrieve, analyze, and interpret data from various sources to determine conclusions and/or recommendations
• Deep-dive into problems and resolve issues to drive conversations forward across teams
• Drive remediation efforts, create and track action plans, and support the timely resolution of issues to mitigate control findings or deficiencies with stakeholder groups
• Document and communicate concisely and regularly to non-technical audiences, both in verbal and written presentations
• Create procedures, dashboards, alerts, scripts, and/or other automations to increase efficiency and productivity in risk governance processes
• Perform insightful analyses of complex processes or requirements highlighting key trends and areas of focus and demonstrate a strong understanding of their association to risk and controls, policies, and/or models
• Follow industry trends to develop strategic solutions that are best-in-class and meet industry standards from a risk governance perspective

Bay Area California $144,000 - $195,000

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

• 4+ years of relevant business experience including Risk, Finance, Compliance, Audit, or other related subject areas
• Bachelor’s degree (Master’s degree preferred) in STEM, Business, Accounting, or related field
• Experience with R, Python, and advanced SQL skills and proficiency in visualization tools such as Tableau, Quicksight, or others
• Clear understanding of risk and controls management, testing, and/or model validation methodologies
• Strong project and time management skills with ability to lead, multi-task, and prioritize multiple workstreams independently while delivering effective results
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Team player with proven relationship-building skills and comfortable interacting with different levels of leadership
• Knowledge of statistical methods, techniques, and formulas to test and determine the reliability and soundness of results
• Experience and passion with automating manual process and streamlining work systematically
• Strong analytical mindset, business acumen, and a drive/curiosity for continuous learning
• Familiarity with machine learning and artificial intelligence models; knowledge of both theory and application to different use cases is a plus
• Experience in Fintech with a focus on risk and controls management is preferred

• 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

• Create full stack applications with a deep understanding of customer needs and ability to quickly translate insights into working proof-of-concept code

• Deliver high quality web application code and contributing to overall site stability by conducting code reviews and writing unit and integration tests
• Contribute to the design/architecture of the project and developing web software while implementing best practices for architecture, design, coding standards & CI/CD
• Be responsible for roughly 80-90% hands-on coding and serve as a technical leader by mentoring junior engineers and applying technical expertise to challenging programming and design problems
• Work collaboratively with AI experts and integrate AI into existing systems, leveraging expertise and guidance as needed
• Propose AI solutions that can be applied to a variety of problems

• BS/MS in Computer Science or related area or equivalent experience

• 5 years of JavaScript application design and testing experience
• 5 years of experience in mid-tier languages, such as Java
• Experience with test automation: TDD, unit/integration/functional testing
• Experience with Relational Database Design and Implementation
• Experience in UI frameworks like React, Backbone, Angular
• Experience building CI/CD pipelines
• Possess basic understanding of AI concepts and foundations
• Ability to work collaboratively with AI experts and integrate AI into existing systems as needed, with guidance
• Familiarity with data and metrics required for building and evaluating AI models
• Conversant with AI Native principles and able to apply them to software development
• Strong problem-solving skills and ability to think creatively about AI solutions
• Ability to communicate effectively with cross-functional teams, including AI experts and stakeholders

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