Head Of Fraud

Build the future of payments with AI, Pix & Open FinanceHands-on, data-driven fraud leader.
7+ years in fraud prevention or credit risk at fintechs, acquirers, issuers or fraud-prevention companies (e.g. Nubank, Stone, Stripe, Mercado Pago, Feedzai).
Strong SQL/data background required.
Type: Full-TimeReports to: CEOThe CompanyNova is building a new generation payment network (i.e. reinventing Visa/Mastercard) using AI on top of Pix and Open Finance.
Its first product is a B2C digital wallet that works as an infrastructure bridge between traditional credit cards and Pix.
It lets consumers use their existing credit card limits anywhere, even to pay Pix and Boletos in installments.
The company was founded by an elite team of fintech veterans and has been backed by top-tier venture capital investors (Monashees, Canary, Canaan and Propel) since its inception.
Nova recently raised a large Series A and is now assembling a small team of exceptional, experienced professionals to build, launch and grow its next generation of products.
The RoleWe are looking for an exceptional fraud and risk leader to own Nova's fraud and risk P&L end to end: keeping fraud losses and chargebacks low while maximizing approval rates.
You will work closely with the founders, Engineering and Data Science to define policies, oversee our proprietary models, manage vendors and measure everything with data.

Key responsibilities
include:User Risk/Reward Assessment: policy definition, results monitoring & reporting, vendor management (incl. cost), proprietary model oversight (Data Engineering + Data Science)Card Risk/Reward Assessment: policy definition, results monitoring & reporting, vendor management (incl. cost), proprietary model oversight (Data Engineering + Data Science)Transaction Risk/Reward Assessment: policy definition, results monitoring & reporting, vendor management (incl. cost), proprietary model oversight (Data Engineering + Data Science)Fraud OperationsAccount SecurityCase ManagementOnboarding & Identity Fraud (KYC)Info Collection, Background Check & Identity CheckPolicy DefinitionResults Monitoring & ReportingThe QualificationsRequired7+ years in fraud prevention, credit risk or risk analytics, including 3+ years leading teamsExperience at high-performing fintechs, financial services companies and/or startupsBachelor's (or equivalent) degree in Engineering, Economics, Statistics, Mathematics, Computer Science or another quantitative fieldHands-on with SQL (Python a plus); comfortable building your own analyses and challenging model results (precision/recall, approval vs. loss trade-offs)Daily use of AI in your work (research, data analysis, spec'ing and/or prototyping)Analytical and organized mind: structured thinking, comfortable with numbers, detail orientedPreferredExperience launching products (0 -> 1)Graduated from top schools and/or with top gradesTook part in and/or won competitions, or received work-related awardsActive leader in the community: published articles, given lectures, etc.
Other demonstrable proof of ambition, intelligence and/or resilienceThis is a quantitative, data-driven role.
Profiles focused primarily on legal, regulatory compliance or AML are not a fit.
The Target CompaniesCandidates with at least 2 years of full-time experience at the companies below will be prioritized:Strong Local Fintechs:Acquirers: Cloudwalk, Stone, PagBank, HashStrong Local Start-Ups: Wildlife, QuintoAndar, Loggi, JusBrasil, iFood, Loft, OlistOther Tech: Netflix, Uber, Lyft, Airbnb, Spotify, Snap, X (Twitter), PinterestStrong Fraud Prevention Start-Ups: Sardine, Signifyd, Riskified, Feedzai, Sift, Forter, Incognia, Unico, Idwall, ClearSaleThe Selection ProcessMaterials about Nova, including a pitch deck and pitch videos, will be shared during the process.
Screening Call: 15-min call with HR to align on requirements and qualificationsIntroduction Interview: 30-min call with the Hiring Manager for a quick review of past experienceDeep Dive Interview: 60-min call with the Hiring Manager to go deep on past experience and profileBar Raiser Interview: 45-min call with another leader to validate the assessment with a second opinionCultural Fit Interview: 30-min call with the CEO to evaluate culture fit and answer questions about NovaThe Offer PackageModel: PJCompensation: (R$ 30,000
- R$ 40,000 / month)Stock Options: aggressive stock option grantsOther

Benefits:
premium health insurance, flexible hours, paid vacation and Wellhub
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