Service Desk Analyst jobs at Intuit in 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

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.

• Strategic planning
• Operational excellence: Partner with the Product, Marketing and Analytics partners to develop and monitor key performance indicators to drive insights and decision making in order to achieve our strategic and financial plans.
• Modeling : Work with business partners and finance colleagues to create financial models to analyze complex business scenarios that drive and inform our go-to-market strategy (e.g. promotion, pricing, new sales channel opportunities, product development priorities).
• Financial reporting : Prepare financial reporting deliverables (month-end close package, variance explanations, etc) to enable transparency into the business’s performance and drivers. Liaise with the Corporate Accounting team and cross-functional business partners to ensure correct accounting treatment of business activities.
• Process improvement : Drive efficiencies and continuous improvement by streamlining, standardizing and automating processes and reporting requirements.

• Undergrad in Finance, Accounting or Business Management or equivalent work experience. Masters in Finance a plus
• 6 - 8 years FPandA experience or equivalent tenure from related positions in corporate finance, investment banking, private equity, or analytics
• 4+ years of experience with financial forecasting or analytic modeling
• Enjoy operating in an extremely fast-paced, entrepreneurial environment
• Proven track record of translating business results into an insightful and consumable story for leadership teams, ideally in high-growth software / SaaS environments
• Excellent verbal and written communication skills with proven ability to partner with all levels of the organization, influence stakeholders using data and collaborate in an inclusive culture
• Detail-oriented with strong analytical, problem solving, and financial modeling skills
• Self-starter with a desire to quickly learn and excel; willing and able to initiate, manage, and execute projects with minimal supervision
• Grace under pressure with a good sense of humor and dose of humility
• Advanced Excel and PowerPoint skills; experience with Hyperion Essbase preferred
• Experience with a Human Capital Management business a plus

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 4+ 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 $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

Lead the end-to-end development and execution of financial risk strategies—from opportunity identification to design, testing, launch, and post-production performance monitoring.• Leverage large-scale transactional and behavioral datasets to build, optimize, and automate fraud and credit risk policies for payments, payroll, bill pay, and checking products.• Partner cross-functionally with data science, risk operations, product, analytics, and engineering teams to design innovative, data-informed solutions that balance growth with risk control.• Develop customer segmentation strategies to target risk more precisely and unlock new business opportunities while maintaining financial integrity.• Evaluate and integrate third-party data providers and models, supporting enhanced decisioning around fraud, credit, and operational risk.• Design and execute controlled experiments to test new methodologies and continuously improve the accuracy, precision, and ROI of risk strategies.• Serve as a thought partner and subject matter expert on emerging financial risk trends, bringing external perspective to shape internal strategy.

Bay Area California $172,000.00 - $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

• Advanced degree (MS or PhD) in Statistics, Mathematics, Finance, Economics, Operations Research, or a related quantitative field or equivalent experience.• 6+ years of experience in financial risk analytics, fraud prevention, payments, or credit strategy within fintech, banking, or related industries.• Technical proficiency in SQL and Python; strong Excel and data visualization skills (e.g., Tableau). Familiarity with A/B testing frameworks is a plus.• Proven ability to translate complex data into actionable insights and communicate findings clearly to both technical and non-technical stakeholders.• Deep understanding of risk modeling, loss forecasting, fraud mitigation, and payment processing fundamentals.• Demonstrated strategic thinking, creativity, and sound judgment in high-impact decision environments.• Strong business acumen with a passion for innovation, a bias for action, and the ability to thrive in a fast-paced, evolving landscape.