{"id":3400220,"url":"https://alion.io/job/spoton-compliance-systems-data-analyst","title":"Compliance Systems & Data Analyst","company":{"id":1761,"name":"SpotOn","domain":"spoton.com","url":"https://alion.io/company/spoton","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":15200,"max":19900,"currency":"PLN","period":"month","gross":null,"usd_annual":60492},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Metabase","optional":false},{"name":"OCR","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-28T11:00:19Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-04T14:33:54Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About SpotOn\nWe’re not just building restaurant tech, we’re giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed.\nNamed the #1 Restaurant POS by G2 (Summer 2026), based on ratings from real users\n\nRated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users\n\nAwarded Great Places to Work and Built In’s Best Workplaces for multiple years running\n\nWe move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you’re looking to make an impact with heart and hustle, SpotOn is the place for you.\nReporting to the Director of Compliance Systems & Data, the Compliance Systems & Data Analyst leads the design, implementation, and management of technology to streamline and continuously improve our Underwriting and KYC solutions. This role will lead the identification, analysis, and optimization of Know Your Customer /Business (KYC/KYB) and Underwriting workflows by implementing AI, machine learning, and Large Language Models (LLMs) to reduce manual reviews and accurately identify risks. The goal is to develop and integrate technology solutions that align with industry best practice that can both scale AND create operational efficiencies.\nThis person will focus on \"Know Your Customer\" (KYC) and Credit Underwriting processes throughout the customer lifecycle with new technologies (like AI, ML, Regex detection, OCR etc) streamlining identity verification, completing ongoing data, AI and model validations, screening (PEP, OFAC), risk assessments, and monitoring while reducing manual errors. This role involves analyzing workflows, supporting AI/ML solutions,validating models and ensuring ethical data and AI use through continuous performance monitoring and testing. Experience with identity solutions & case management systems for fraud and anti-money laundering (AML) is imperative.\nOn a daily basis, you will:\nCore Responsibilities: Driving Compliance Automation & Optimization\n\nProcess Optimization & Analysis:\nAnalyze existing manual Know Your Customer (KYC) and Anti-Money Laundering (AML) workflows (including data collection, document verification, and watchlist screening) to identify inefficiencies and bottlenecks.\n\nAutomate manual processes to increase speed, accuracy, and performance, monitoring Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs) for continuous improvement.\n\nTest AI decision models involving identity to meet EU AI and CA ADMT requirements\n\nPropose process or policy changes, and recommend system and/or vendor implementation updates, as applicable.\n\nTechnology Implementation & Solution Development:\nDevelop and implement Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) solutions for critical tasks such as:\nData extraction (using OCR).\n\nBiometric verification and automated decision-making (ADMT).\n\nRegex detection for monitoring and cash flow optimization.\n\nLLM Model development\n\nContribute to the development of risk scorecards, credit policies, and overall process structure.\n\nHelp implement enhancements to identity verification, onboarding automation, customer risk scoring, and OFAC/Sanctions & PEP screening.\n\nRisk Management & Compliance:\nEnsure automated systems accurately detect, assess, and score risks (including Enhanced Due Diligence - EDD) to maintain regulatory and card scheme standards.\n\nDevelop risk scoring models to move toward automated underwriting, incorporating various models and decision tools.\n\nOversee data and model validation: test and validate decisioning and AI solutions, identifying appropriate data sources, and validating the integrity, accuracy, and quality of data flowing to decisioning and reporting systems.\n\nEnsure ethical AI use, data privacy, and adherence to all governance requirements.\n\nSystem Integration & Data Accuracy:\nIntegrate new KYC tools and automated workflows with existing CRM and Customer Lifecycle Management (CLM) systems to ensure seamless data flows.\n\nReduce reliance on manual data entry to significantly minimize errors and false positives, thereby improving overall data accuracy.\n\nCross-functional Collaboration & Change Management:\nWork closely with Engineering, Operations, Data Services, and Product teams to integrate new automation tools and build/maintain compliance/risk technology features, systems, and rules.\n\nManage change by understanding business problems and training teams to ensure successful adoption of new automated processes.\n\nIndustry Knowledge:\nMaintain curiosity and stay current with new and emerging fraud and risk trends within the industry.\n\nWhat skill are we searching for?\n3 years minimum experience with Artificial Intelligence (AI) & Machine Learning (ML) models\n\n5 plus years experience working within a financial institution/payment processor/merchant monitoring services supporting fraud and/or compliance initiatives. Implementation of systems for fraud/risk, information security, OFAC, KYC or AML compliance systems\nUnderwriting and/or KYC experience heavily preferred\n\nExperience building solutions in house with engineering as well as vendor integrations for fraud/risk, AML and identity management/decisioning\n\nExperience with model validations and rules testing\n\nAbility to create reports in SQL, Metabase or similar\n\nGreat written and oral communications skills with solid documentation\n\nAbility to work fluidly in a collaborative, team-based setting within a high growth technology company\n\nProject management skills/experience\n\n5 years of relevant work experience in financial services industry\n\n3 years minimum experience at a financial institution or bank with relevant work experience in credit, underwriting, risk, KYC or AML compliance\n\nACAMS or ACFCS and/or ACFI certification preferred\n\nSalesforce and DealHub experience preferred\n\nBachelor’s degree or equivalent work experience\n\nHere’s a bit about what we have to offer:\nCompetitive pay: 15 200 - 19 900 PLN gross on CoE\n\nTraining budget 3500 PLN gross per year\n\nAccess to e-learning platforms\n\nFully paid private healthcare in LuxMed\n\nAccess to the Worksmile platform with a monthly top-up\n\nSubsidized access to breakfast and lunch through the vending machine in Kraków office, and lunches in Gdańsk office once a week\n\nGroup English classes with a native speaker\n\nA laptop and essential work equipment provided by the company\n\nNew, modern, bright and comfortable office space in the city centre\n\nAccess to the company’s library\n\nGreat working atmosphere\n\nChill out room with a PlayStation and games\n\nFree snacks and beverages in the kitchen\n\nCompany parties and social activities\n\nEmployee referral program\n\nRelocation Package within Poland\n\nThe controller of your personal data included in your job offer and others collected during the recruitment process is SpotOn Poland spółka z ograniczoną odpowiedzialnością with its registered office in Kraków, Aleja 29 listopada 20, 31-401 Kraków, e-mail address: \n. We will process your personal data for the purpose of current or, if you voluntarily agree, also future recruitment processes. More information about how we proccess your data, including the basis for processing and your rights in relation to the processing, can be found on our website: https://pl.spoton.com/privacy-and-cookies-policy.\nAdministratorem podanych danych osobowych, w tym danych zawartych w dokumentach aplikacyjnych i zebranych w toku procesu rekrutacji, jest SpotOn Poland Sp. z o.o. z siedzibą w Krakowie (ul. Aleja 29 listopada 20, 31-401 Kraków; adres e-mail do kontaktu: \n. Dane osobowe będą przetwarzane w celu realizacji obecnych lub - jeżeli wyrazisz na to dobrowolną zgodę - także przyszłych procesów rekrutacji. Więcej informacji o tym, jak przetwarzamy Twoje dane, w tym także informacje o podstawach prawnych przetwarzania oraz o prawach przysługujących Ci w związku z przetwarzaniem danych, znajdziesz na stronie: \nhttps://pl.spoton.com/privacy-and-cookies-policy.\nWe will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com). If something seems suspicious, please contact us at .\nSpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.\nFor U.S. based roles, work authorization in the U.S. is required. 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