Analytics Lead, Deposit Fraud Risk

AtAffirm, weexistforthemomentsthatmatter—givingpeopleaclear, predictablewaytopayovertime, withnohiddenfees, nosurprises, andnotradeoffsonwhatmattersmost. TheFraudteamatAffirmBankworkscross-functionallywith MachineLearning, Product, Engineering, Operationstocombatfraudulentactivitiestofosterasafeplatform. Thisrolerequiresabundantcross-functional partnership. Thisindividualwillbetherepresentativeofthe CreditRiskorg, leadingthechargeonrefiningour IdentityVerificationandFraudprocessesaswellasourApplicationflow. Additionally, thisrolewillworkcloselywiththe ProductandEngineeringteamstoimproveourFraudsolution. Comejoinusinourmissiontochangeconsumerfinancethroughbettertechnology, lowercosts, andincreasedtransparencywhileprovidingthebestcustomerexperience. WhatYou'llDo Thisrolewilltakechargeofowningfraudperformancefordepositoryproducts, includingmonitoringfraudlosses, approvalrates, falsepositives, customerfriction, andotherkeyriskmetrics Data Pipeline, Analytics&Monitoring Buildandmaintainscalabledatamodelsandtransformationpipelines, usingtools(suchasDBT)tostandardizedepositoryproduct, transaction, customer, fraud, andoperationaldata. Definetrustedfraudperformancemetricsandanalyticaldatasets, includingfraudlossrates, approvalanddeclinerates, false-positiverates, customerfriction, andoperationalefficiency. Developrecurringdashboards, scorecards, andmonitoringframeworkstoprovideclearvisibilityintofraudperformance, portfoliohealth, andemergingrisks. Conductdeep-diveanalysestodiagnosefraudlosses, controlgaps, falsepositives, portfolioshifts, andunexpectedperformancechanges, translatingfindingsintoactionablerecommendations. Fraud StrategyBuilding&Optimization Developandoptimizefraudrules, policies, thresholds, models, anddecisionstrategiesthatbalancelossprevention, customerexperience, operationalcapacity, andproductgrowth. Evaluatenewdatasourcesandsignalstoimprovedetectionofidentityrisk, accounttakeover, devicerisk, transactionrisk, andotherfraudtypologiesrelevanttodepositoryproducts. Leadtestingandperformancemeasurementoffraudstrategychanges, includingrulelaunches, modelupdates, policychanges, andnewproductcontrols, withclearpre- andpost-implementationevaluation. Partnercross-functionallywith Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risktoimprovefraudstrategies, strengthenoperationalfeedbackloops, andsupportnewproductlaunches. WhatWeLookFor EXPERIENCE - 7+ years' of Analytics experience PRODUCT KNOWLEDGE - Passion to understand how Affim product works and a curious mindset to help change and make it more effective TECHNICALSKILLS - Fluent in SQL and Python PEOPLESKILLS - A team player with ability to collaborate and influence across many different teams in the organization COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences EXECUTION - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities RISKKNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with fraud strategy development BasePayGrade-M EquityGrade-USA8 Employees new to Affim typically come in at the start of the pay range. Affim focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. USAbasepayrange(CA, WA, NY, NJ, CT): $185,000-$245,000 USAbasepayrange(allotherU.S.states): $164,000-$224,000 Please note that visa sponsorship is not available for this position. Remote-firstwithflexibilitybuiltin Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Somepositions may occasionally require in-person work at an Affim office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.