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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI and ML solutions for KYC and underwriting processes, ensuring compliance with regulatory standards while optimizing workflows and enhancing risk management. Proficient in collaborating across teams to drive automation and improve operational efficiency in financial services.
Highest-signal resume keywords
Artificial Intelligence (AI)Machine Learning (ML)KYC Compliance SystemsFraud Risk ManagementSQL Reporting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KYC WorkflowsAML ComplianceRisk Scoring ModelsData Integrity TestingOCR Data ExtractionBiometric VerificationRPA SolutionsModel ValidationRegex DetectionAutomated Underwriting
Soft Skills
Written CommunicationOral CommunicationProject ManagementCollaborationChange Management
Tools & Technologies
SalesforceDealHubMetabaseCRM SystemsCustomer Lifecycle Management
Certifications & Qualifications
ACAMSACFCSACFI Certification
Industry Keywords
Financial ServicesFraud PreventionCompliance InitiativesIdentity ManagementEnhanced Due Diligence
Tech Stack
Tools & technologiesRPASQL
About the role
Key responsibilities & impact- Lead the design, implementation, and management of technology for Underwriting and KYC solutions
- Identify, analyze, and optimize KYC/KYB and Underwriting workflows using AI, machine learning, and LLMs
- Analyze manual KYC and AML workflows to identify inefficiencies and bottlenecks
- Automate manual processes and monitor KPIs and KRIs for continuous improvement
- Test AI decision models involving identity to meet EU AI and CA ADMT requirements
- Propose process or policy changes and recommend system or vendor implementation updates
- Develop and implement AI, ML, and RPA solutions for OCR data extraction, biometric verification, ADMT, regex detection, cash flow optimization, and LLM model development
- Contribute to risk scorecards, credit policies, and overall process structure
- Enhance identity verification, onboarding automation, customer risk scoring, and OFAC/Sanctions and PEP screening
- Ensure automated systems detect, assess, and score risks, including Enhanced Due Diligence
- Develop risk scoring models toward automated underwriting
- Test and validate decisioning and AI solutions, data sources, data integrity, accuracy, and quality
- Ensure ethical AI use, data privacy, and governance compliance
- Integrate KYC tools and automated workflows with CRM and Customer Lifecycle Management systems
- Reduce manual data entry, errors, and false positives
- Collaborate with Engineering, Operations, Data Services, and Product teams
- Manage change and train teams on automated processes
- Stay current with emerging fraud and risk trends
Requirements
What you’ll need- 3 years minimum experience with Artificial Intelligence (AI) & Machine Learning (ML) models
- 5 plus years experience working within a financial institution/payment processor/merchant monitoring services supporting fraud and/or compliance initiatives
- Experience implementing systems for fraud/risk, information security, OFAC, KYC or AML compliance systems
- Underwriting and/or KYC experience heavily preferred
- Experience building solutions in house with engineering as well as vendor integrations for fraud/risk, AML and identity management/decisioning
- Experience with model validations and rules testing
- Ability to create reports in SQL, Metabase or similar
- Great written and oral communications skills with solid documentation
- Ability to work fluidly in a collaborative, team-based setting within a high growth technology company
- Project management skills/experience
- 5 years of relevant work experience in financial services industry
- 3 years minimum experience at a financial institution or bank with relevant work experience in credit, underwriting, risk, KYC or AML compliance
- ACAMS or ACFCS and/or ACFI certification preferred
- Salesforce and DealHub experience preferred
- Bachelor’s degree or equivalent work experience
Benefits
Comp & perks- Training budget 3500 PLN gross per year
- Access to e-learning platforms
- Fully paid private healthcare in LuxMed
- Access to the Worksmile platform with a monthly top-up
- Subsidized access to breakfast and lunch through the vending machine in Kraków office, and lunches in Gdańsk office once a week
- Group English classes with a native speaker
- A laptop and essential work equipment provided by the company
- New, modern, bright and comfortable office space in the city centre
- Access to the company’s library
- Great working atmosphere
- Chill out room with a PlayStation and games
- Free snacks and beverages in the kitchen
- Company parties and social activities
- Employee referral program
- Relocation Package within Poland
