You will review and investigate transaction monitoring alerts to identify suspicious activity and determine appropriate actions such as SAR filings or customer offboarding. Additionally, you will contribute to team projects focused on process improvements, automation, and AI-enabled workflows.
Own Finom’s editorial standards, voice, style guide, review processes, and editorial AI strategy while leading and developing the copywriting team. Improve copy across marketing and product channels, coordinate with localization partners, and ensure writing is consistent, error-free, and commercially effective.
Own and evolve Finom's visual identity, setting creative direction and ensuring consistent, high-quality brand execution across marketing, product, and other touchpoints. Lead and mentor the Marketing Design team, build scalable workflows and AI-enabled production systems, and direct projects from concept through delivery.
Own and evolve the Dynamic Risk Score, including daily scoring across the client base and machine-learning-driven transaction rules for financial crime detection. Deploy, serve, monitor, and improve production models, build champion-challenger evaluation, and contribute to ML infrastructure and inter-service integrations.
Own and evolve the Dynamic Risk Score, including daily scoring across the client base and ML-driven transaction rules for financial crime detection. Deploy, serve, monitor, and improve production models, build champion-challenger evaluation, and contribute to ML infrastructure and inter-service integrations.
You will define and implement the product analytics strategy for the Growth & Activation stream, collaborating with PMs and engineers to drive evidence-based decision-making. This involves designing experiments, establishing key metrics, and building scalable testing infrastructure to support product development.
You will build and lead the end-to-end credit risk framework for SME credit products, including underwriting, scoring models, and portfolio monitoring. You will also partner with product and engineering teams to embed risk strategies into the product design and ensure compliance with European regulatory standards.
You will lead the implementation of AI-driven solutions to automate transaction monitoring and alert resolution processes. This involves building AI agents, defining operational boundaries, and ensuring compliance with AML frameworks while maintaining high-quality audit standards.
You will build and lead the end-to-end credit risk framework for SME credit card and overdraft products, including underwriting, scoring models, and portfolio monitoring. You will also partner with product, engineering, and data science teams to embed risk strategies into product design and ensure regulatory compliance.
You will provide exceptional customer support via phone, chat, and email to resolve complex issues and build customer trust. Additionally, you will document interactions accurately and collaborate with internal teams to ensure swift resolution of customer concerns.
You will build the German partner ecosystem from the ground up by identifying, signing, and scaling partnerships to drive SME customer acquisition. You will also design referral programs and collaborate with internal teams to integrate market insights into product development.
You will build and manage the treasury function, overseeing liquidity, funding, and the safeguarding of client funds. This involves implementing investment accounting, managing banking relationships, and ensuring regulatory compliance through robust governance and controls.
You will act as the voice of Finom, providing exceptional customer support via phone, chat, and email to resolve complex issues. Your goal is to build customer trust and loyalty while collaborating with internal teams to improve service processes.
You will own the end-to-end roadmap and outcomes for your domain, from problem definition to feature delivery. You will partner with engineering, design, and data teams to build meaningful, commercially viable solutions for our customers.
You will manage a portfolio of high-value clients to drive revenue growth, retention, and product adoption. This involves proactive outreach, building strong relationships, and using data to identify upsell opportunities and prevent churn.
The analyst will monitor daily reconciliation breaks, investigate discrepancies, and collaborate with engineering and banking partners to ensure accurate cash balances. Additionally, they will support reporting cycles and contribute to the automation of manual reconciliation processes.
You will serve as the primary point of contact for customers via phone, chat, and email to resolve issues and build trust. Additionally, you will document interactions, collaborate with internal teams to escalate complex cases, and contribute to continuous service improvement.
The Chargeback Analyst will manage the end-to-end processing of issuing and acquiring chargebacks while refining payment operations processes. They will also liaise with payment providers and communicate directly with clients to resolve payment issues.
You will own and extend the offline evaluation suite for AI products, including datasets, judges, and metrics. Additionally, you will build online quality dashboards and close the production feedback loop by mining failure patterns to propose fixes.
You will own the evaluation loop for all AI products, including pre-launch quality gates and post-launch monitoring. You will collaborate with engineers and product teams to turn production feedback into actionable regression cases and improvements.
You will own and extend the offline evaluation suite for AI products, including datasets, judges, and metrics. Additionally, you will build quality dashboards and close the production feedback loop by mining failure patterns to propose product improvements.
Design, build, and operate production-grade AI systems that solve real business problems across the company. Partner with cross-functional teams to integrate AI capabilities into workflows like onboarding, customer support, and fraud detection.
You will own the end-to-end data models for operations, including reconciliation, treasury, and payments, while partnering with stakeholders to define key metrics. Additionally, you will identify process inefficiencies and implement automated solutions to improve data trust and operational workflows.
Lead a team of AI engineers to design, build, and deploy production-grade AI services including LLMs, RAG, and agentic workflows. Own the end-to-end technical architecture, evaluation standards, and roadmap alignment with business stakeholders.
You will own the end-to-end design process for credit and card products, from initial discovery and research to final UI delivery. You will collaborate closely with product, engineering, and analytics teams to translate complex financial and compliance requirements into simple, trustworthy user experiences.
You will build the partner ecosystem in Germany from the ground up to drive SME customer acquisition. This involves designing referral programs, managing partner relationships, and collaborating with internal teams to scale the business.
The Enterprise Risk & Reporting Lead is responsible for establishing and executing a robust enterprise risk management framework to support safe growth and regulatory readiness. This role involves identifying, assessing, and reporting key risks while providing actionable insights to senior management and governance bodies.
The Enterprise Risk & Reporting Lead is responsible for establishing and executing a robust enterprise risk management framework to support safe growth and regulatory readiness. This role involves translating complex risk information into actionable reporting for senior management and scaling the risk function as the company grows.
You will own the end-to-end design process from discovery to delivery, creating simple and trustworthy financial workflows. You will collaborate closely with product, engineering, and analytics teams to optimize user experiences through research and data-driven decisions.
The Enterprise Risk & Reporting Lead is responsible for establishing and executing a robust enterprise risk management framework to support safe growth and regulatory readiness. This role involves identifying, assessing, and reporting key risks while providing actionable insights to senior management and governance bodies.
You will design, build, and automate end-to-end reconciliation processes across various payment flows and complex investment domains. Additionally, you will develop reporting dashboards and implement structural fixes to ensure data quality and process efficiency.
You will build and improve tools and processes across the entire employee lifecycle, including onboarding, performance cycles, and offboarding. Additionally, you will design feedback loops and implement automations to streamline HR workflows and enhance the employee experience.
You will own regulatory and licensing financial models, including P&L, balance sheet, and capital planning for banking and EMI applications. Additionally, you will support strategic finance projects, board materials, and M&A activities while partnering with internal functions.
You will own the end-to-end operational setup and transition for Target2 direct participation, including designing processes and infrastructure. You will act as the primary operational point of contact for the T2 scheme, regulators, and partner banks while managing incident response and liquidity monitoring.
You will own the end-to-end design process for core product domains, transforming complex financial workflows into intuitive and scalable user experiences. You will collaborate with cross-functional teams including product managers, engineers, and researchers to ship high-quality solutions that improve the lives of entrepreneurs.
Provide exceptional customer support via phone, chat, and email to resolve complex issues and build customer trust. Collaborate with internal teams to escalate concerns and document interactions to ensure continuous service improvement.
You will define the vision and roadmap for AI-native product experiences while working closely with AI engineers to build innovative financial solutions. You are expected to prototype rapidly and balance experimentation speed with the regulatory rigor required in the fintech industry.
Design and build new iOS features for a B2B financial platform, focusing on cash flow management, banking transactions, and AI-powered accounting. You will own the end-to-end development process, shape architectural decisions, and mentor other engineers.
Own the evaluation loop for all AI products, including pre-launch quality gates and post-launch monitoring. Build quality dashboards and translate failure patterns from production traffic into actionable product fixes.
Design, build, and operate production-grade AI systems and agentic workflows to solve business problems across onboarding, support, and accounting. Own the full AI lifecycle from problem framing and architecture to deployment and continuous evaluation.
Own the end-to-end design lifecycle from discovery to implementation for core product domains. Collaborate with product managers and engineers to translate complex business goals into intuitive user experiences and maintain the design system.
Identify and analyze acquiring fraud risks and design effective controls to keep fraud rates within risk appetite. Act as a second line of defense by challenging first-line decisions and monitoring performance metrics like chargeback ratios.
Manage the end-to-end risk cycle for Money Laundering, Terrorism Financing, and Sanctions, including the maintenance of the FinCrime Scenario Library. Lead a team of SMEs and collaborate with ML engineers to develop advanced detectors and risk scoring practices.
You will build and lead the credit risk framework for the SME credit card product, including underwriting, scoring models, and portfolio monitoring. You will also partner with product and engineering teams to embed risk strategies into the product design and ensure regulatory compliance.
Design and build new features for the iOS application, including multi-account cash flow management and AI-powered accounting. Collaborate with cross-functional teams to shape architecture decisions and ensure high code quality through testing and reviews.
