We believe that the way people interact with their finances will drastically improve in the next few years. As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied data science, and product innovation. You will lead complex investigations, translate findings into detection improvements, and collaborate tightly with Data Science, ML, and Product teams to shape the next generation of Plaid's fraud capabilities.
\nResponsibilities:
\nLive Fraud Investigation & Reconstruction - Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces Provide support to day-to-day fraud operations including SEVs and alert triage Reconstruct attacker sequences and hypothesize actor intent and tooling Distill patterns from noisy signals into clear narratives and actionable insights Bridge investigation outcomes to product and model improvements
\nSignal & Tool Utilization at Scale - Operate across Plaid's fraud tooling , dashboards, alerting systems, network signals, and analytics platforms , to detect and validate anomalies Stress-test existing capabilities, identify systemic gaps, and define new detection primitives Proactively identify gaps in internal fraud tooling and automation, driving enhancements to improve efficiency and scale
\nProduct & Model Partnership - Collaborate with Data Science, ML/AI, and Product teams to improve labeling, feature sets, evaluation frameworks, and model decay monitoring Surface data quality limitations and systematically formalize missing features Translate exploratory research into reusable feature pipelines, model inputs, or rule augmentations Participate in product discovery, roadmap planning, and post-launch evaluation to ensure fraud-awareness by design
\nDeep Applied Fraud Research - Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data , entity linkages, temporal patterns, attack rotations, tool chains Experiment with network/graph analysis, sequence mining, anomaly detection, and custom heuristics where off-the-shelf approaches fail
\nEcosystem Monitoring & Knowledge Leadership - Continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors Proactively perform threat modeling of abuse surfaces and initiate research proposals when patterns emerge
\nCase Studies & Reporting - Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders Document investigation workflows, attack classifications, and proof-of-concept detection logic Drive post-incident learning by capturing lessons from fraud incidents and feeding them back into defenses
\nQualifications:
\nRequired - 3+ years of applied fraud experience in a high-velocity environment (fintech, consumer payments, banking, SaaS, marketplace risk, or security research) Investigator mindset: pattern synthesis, hypothesis testing, and skilled triage between signal and noise End-to-end investigation experience reconstructing attacker intent and behavior in multi-step attack sequences across accounts, devices, and identities Post-containment incident response experience with a deep emphasis on post-mortems and root cause analysis Dark and grey-web navigation and investigation experience; ability to assess source credibility and translate external intelligence into actionable insights Strong communication: ability to explain complex, ambiguous behavior to technical and non-technical audiences Tool fluency with data environments and investigative toolchains (BI tools, anomaly detection, case trackers)
\nPreferred - SQL for deep data querying and exploratory analysis Python for scripting, rapid prototyping, and analytical workflows Graph/network analysis experience to detect linked behavioral structures or actor networks Familiarity with rule engines, signal gating, and large-scale monitoring systems Experience applying AI tools and agents to accelerate investigations and research workflows Ability to translate fraud research into actionable signals, rules, or labeled datasets that improve model performance
\nNice to Have - Fraud domain certifications (e.g., CFE) Prior work on consumer identity, payments, or risk platform development Exposure to production ML model lifecycles and metrics for drift/decay Experience improving internal fraud tooling, automation, or case management systems
\nAdditional Information
\nOur mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know.
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\nMixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.
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\nResponsibilities:
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\nEffectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
\nOwn the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
\nOwn onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
\nEngage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
\nDeliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
\nLeverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
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\nCollaborate with our technical and solutions partners as needed on data optimization and onboarding projects
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\nWe're Looking For Someone Who Has
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\nExperience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
\nThe ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
\nCan manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
\nHas a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
\nExcellent written, analytical, and communication skills
\nStrong process and/or project delivery discipline
\nEager to learn new technologies and adapt to evolving customer needs
\nWe'd Be Extra Excited For Someone Who Has
\nExperience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
\nFamiliar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
\nFamiliar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
\nFamiliar with analytics best practices across business segments and verticals
\nBenefits and Perks
\nComprehensive Medical, Vision, and Dental Care
\nMental Wellness Benefit
\nGenerous Vacation Policy & Additional Company Holidays
\nEnhanced Parental Leave
\nVolunteer Time Off
\nAdditional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
\nCulture Values
\nMake Bold Bets: We choose courageous action over comfortable progress.
\nInnovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
\nOne Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
\nCandor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
\nChampion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
\nPowerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.
\nWhy choose Mixpanel?
\nWe’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.
\nMixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.
\nOur accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.
\nChoosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.
\nMixpanel is an equal opportunity employer supporting workforce diversity.
\nAt Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.
\nWe actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.
\nWe do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.
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\nMicrosoft AI are looking for a talented Senior Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, transforming complex data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the development of large-scale, Azure-based intelligence platforms.
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\nThe Candidate we're looking for
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