Jung Kim

About Jung Kim

JK is a Sourcing Knowledge Impartation Coach, Sourcing Recruiter, Sourcing Epistemologist, Sourcing Empiricist, Sourcing Ontologist, Sourcing Stoic, Distributed Systems Sourcer, Quant TradinglP2P|Fintech Sourcer, Sourcing Architect, Blockchain|Crypto|Web3|DeFi|dApps Sourcer, GenAI Sourcer, MIH (make it happen) Sourcer, Distributed Systems Sourcer, Boolean Behemoth, Job Opportunity Blessing Sourcer, Sourcing Theologian, Adtech Sourcer, Hardware Sourcer, Sourcing Way Maker, Sourcer, SaaS Sourcer, Leadership Sourcer, GenAI Machine Learning ML/AI|NLP Sourcer, ASIC Sourcer, GenerativeAI|Generative AI|LLM Tools Tinkerer, AIOps|MLOps|GenAI Sourcer, OSINT|Cybersecurity, SWE|Software Developer|Development|Engineer|Engineering|Architect|Architecture Sourcer, Magnum Opus Sourcer, Cloud Native Sourcer, Quantum Computing Sourcer, Startup Sourcer, Purple Marmot Sourcer, Anointed Sourcer, GenAI|LLM Prompt Engineer Engineering SourcerVehement Sourcer who is passionate about leveraging information systems w/ human cognition for talent identification/talent acquisition. I apply creative sourcing techniques, methods and approaches to attack/solve business problems. I demystify the invisible mass on LinkedIn & roam around the earth to find/engage the best talent (think sub-atomic particle level)! Trying to maximize the value of the vast amounts of data inside of LinkedIn (finding text rich AND text poor profiles). Sourcers are the hound of heaven for the talent acquisition industry (immense outpouring of talent) Gathered to grow, scattered to serve.\"If you do not know how to ask the right question, you discover nothing\"-W. Edwards DemingSourcing Patterns: Xraying, Filetype Extensions, Peelback, URL Manipulation, Extended Boolean, Configurable Proximity, Email Address Formats, Implicit Search, Natural Language Search, Reverse Image Search, Power Search for Resumes, Power Search for People, Peer Regression, Probability Search ProgressionExpertise: internet sourcing, information retrieval, google dorking, data mining, slicing/dicing ATS/CRM systems, pipeline development, diversity sourcing, talent mapping, talent intelligence design, search engine sourcing, social media sourcing/recruiting, network referral sourcing, international/global sourcing/recruiting, stakeholder management, sourcing training (1-1 & group knowledge impartation), tech sourcing/recruiting, leadership sourcing, job spec design, sourcing metrics design, intake strategy session design, web scraping, OSINT/SOCMINT tools, creative copywriting, linkedIn talent insights, miro, phenom, prompt engineering

Experience

1. Technical Sourcer - Fraud & Risk Fraud Policy Analytics Fintech Neobanking Digital Banking Sql

   Intuit

   Mar 2026 — Present

   Serving up the job opportunity blessing at Intuit.Intuit Careers Page-> intuit.com/careersIntuit is expanding its focus to Consumer Lending and banking within the Consumer Group. We\'re seeking brilliant and passionate Staff|Sr. Staff Analysts for Fraud Policy to be a key player in safeguarding our ecosystem and building unwavering trust with our customers focussing on consumer banking productsYou’ll work closely with fraud strategy, data science, engineering, and customer support teams to ensure we deliver a secure and seamless experience for our customers while minimizing fraud losses and maintaining compliance with applicable regulationsIf you’re ready to take on a high-impact role at the intersection of technology, data, and security, let\'s connect for a confidential, exploratory conversationSourcing/recruiting for the following positions:• 2 openings: Staff Fraud/Risk Analyst - Fintech (NYC)• 2 openings: Sr. Staff Fraud/Risk Analyst - Fintech (NYC)• 5+ years for Staff & 7+ years for Sr. Staff in fraud ops or fraud analytics, preferably in Fintech, NeoBanking, Crypto, or Money Movement space• Proficiency in analyzing fraud data using SQL & Excelconsumer lending, money in, money out, fraud ops, fraud policy, fraud risk, fraud detection, fraud prevention, fraud decisioning, prevention analytics, predictive analytics, predictive modeling, fraud trends, patterns, monitoring, behavioral analytics, fraud typologies, synthetic identity analysis, ATO, account takeover, identity fraud, fintech, financial technology, neobank, neobanks, neobanking, challenger banks, branchless banking, banking as a service (BaaS), embedded finance, API banking, digital banking, digital onboarding fraud, P2P payments fraud, KYC, ACH, P2P, digital payments, crypto, stablecoins, digital cash, DeFi (decentralized finance), money movement, SQL|T-SQL|MySQL|Postgres|PostgreSQL, transaction monitoring, data science, data viz|data visualization, storyteller, stakeholder management

Education

• Northeastern Illinois University

  Bachelor's Degree, Human Resource Development