AI and Technical Learning Manager

Klarna Bank AB

What you will do Perform independent end-to-end validation of fraud detection ML models, including conceptual soundness, data integrity, feature engineering, model development, deployment design, and monitoring frameworks. Develop challenger models. Review and challenge first-line fraud model methodologies, assumptions, and implementation choices (e.g., scikit-learn, LightGBM, graph models, anonaly detection techniques, GenAI components). Build and deploy agentic AI tools to support model validation workflows — automating review of model documentation and code, surfacing risks and inconsistencies. Assess model performance using appropriate fraud metrics (e.g., precision/recall, ROC-AUC, PR-AUC, cost-sensitive metrics, fraud rate capture, business impact trade-offs). Evaluate model stability, drift detection, retraining strategies, and production monitoring practices. Independently replicate model results where necessary and conduct challenger analyses to assess model robustness and limitations. Review large-scale transaction datasets and feature pipelines (e.g., >100M transactions, hundreds of features) to assess data representativeness, leakage risks, and bias. Evaluate model governance documentation, explainability approaches, and transparency — including regulatory compliance related to model risk, fairness, and data privacy. Validate new technologies applied in fraud detection, such as Graph Networks, Behavioral Biometrics, Anomaly Detection, and GenAI-based systems. Assess controls around CI/CD pipelines, deployment processes (e.g., Docker, Jenkins), and cloud environments (e.g., AWS SageMaker, S3, Athena, Lambda). Develop and maintain validation frameworks, testing standards, and model performance monitoring tools (e.g., SQL, PySpark, Python-based validation libraries). Collaborate closely with first-line fraud data scientists, ML engineers, product, and business stakeholders to ensure transparent communication of model risks and validation findings. Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and external regulatory expectations. Stay up to date with evolving fraud typologies, emerging ML/AI techniques, and regulatory developments in model risk management. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, or Engineering. 3+ years of hands-on experience in fraud-related modeling (e.g., transaction fraud, account takeover, identity fraud, payments fraud etc). Strong expertise in machine learning methods used in fraud detection, including tree-based models (e.g., LightGBM), anomaly detection, graph/network models, and advanced ML techniques. Deep understanding of the end-to-end ML lifecycle — from conceptual design and feature engineering to production deployment and monitoring — with the ability to critically challenge each stage. Strong programming skills in Python and SQL; experience with PySpark/Spark and large-scale data processing. Experience building agentic AI workflows. Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Lambda, S3, Athena) and production deployment workflows. Strong knowledge of model validation principles, model risk governance frameworks, and regulatory expectations. Experience assessing model bias, fairness, explainability, and privacy risks. Excellent analytical thinking and structured problem-solving skills, with the ability to assess complex models and clearly articulate risks and limitations. Strong communication skills, capable of translating technical findings into clear, actionable insights for senior stakeholders and non-technical audiences. Ability to work independently while constructively challenging first-line teams in a collaborative manner. Awesome to have Experience in BNPL, credit cards, payments, or other transaction-heavy financial products. Experience validating models in highly regulated environments. Experience mentoring junior validators or leading validation reviews. Exposure to inference of rejected transactions and understanding of fraud/credit overlap. Familiarity with AI governance frameworks and emerging AI regulatory requirements.

Verisure Sverige AB

​ Location: MalmöDepartment: AI Models & Alarm IntelligenceHiring Manager: Christian Falck The roleAs a Technical Product Manager within AI Models & Alarm Intelligence, you will drive clarity, alignment, and execution across a complex set of AI initiatives with multiple dependencies and stakeholders. This is a newly created position within the team and an exciting opportunity to shape how product management and delivery coordination are done within one of Verisure's fastest growing technology domains. You will work closely with Machine Learning Engineers, technical experts, stakeholders across Europe, and external partners, helping create transparency, alignment, and momentum across multiple initiatives. The role combines product ownership, project coordination, stakeholder management, and technical understanding (you need to understand enough to facilitate discussions, manage expectations, identify risks, and help the team deliver successfully). You will join a collaborative and highly skilled AI team working with technologies such as Computer Vision, Edge AI, Cloud AI, and next-generation detection solutions that impact millions of customers. What you will be up to Maintain a clear overview of team priorities, deliveries, risks, dependencies, and stakeholder expectations Continuously align with engineers to understand real progress, identify blockers, and ensure dependencies are actively managed. Coordinate feedback from countries using our AI-powered products and translate insights into priorities and improvements Escalate risks, dependencies, and delivery challenges proactively Introduce structure and ways of working in an evolving environment where processes and ownership are not yet fully defined. Build strong relationships across the wider R&D organization and help drive collaboration across multiple teams Good fit if you haveExperience as a Technical Product Manager, Product Manager, Product Owner, Project Manager, or similar role Strong organizational and planning skills Excellent stakeholder management and communication abilities Experience working closely with software engineering or technical teams Ability to create structure and clarity in fast-moving environments Experience balancing multiple priorities and dependencies simultaneously Nice to have / technologies and areas we work with AI, Machine Learning, Computer Vision, or Data Products IoT products and platforms Jira and modern product development tooling AWS, Azure, or cloud-based AI environments Experience working with external vendors and technology partners Product development within hardware and software environments Should I apply? Strong fit if most of these resonate with you: You enjoy creating structure and visibility in complex environments You naturally bring people together around common goals You are proactive and prefer solving problems before they become blockers You are good at coordinating multiple initiatives simultaneously You are curious about AI and emerging technologies You thrive in collaborative and international environments FAQIs this a Product Owner role?Partly, but broader. The role combines product ownership, project coordination, stakeholder management, planning, communication, and delivery follow-up across multiple initiatives. Do I need an AI or Machine Learning background?No. AI experience is beneficial but not required. What matters most is your ability to work with technical teams, understand complex products, and create structure around delivery. Will I manage people?No. This is an individual contributor role with significant influence across projects, teams, and stakeholders. What is the biggest challenge in this role?Managing dependencies across multiple teams and stakeholders while maintaining transparency, alignment, and realistic expectations. Bottom line If you enjoy bringing clarity to complexity, working alongside talented AI engineers, and helping innovative AI-powered products move from idea to reality, this is an opportunity to make a significant impact in one of Verisure's most exciting and rapidly growing technology domains. About VerisureVerisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues. For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company’s track record of resilient, uninterrupted growth over the long term and highlights the strength of its recurring revenue model. Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm. Beginning October 8th, 2025, Verisure is listed in the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years. My team and I eagerly await your application! Join us on this journey towards a safer, smarter world. Apply today! If you have questions regarding this position, please reach out to our Group Senior TA Specialist, Robert Jonasson, at robert.jonasson@verisure.com Verisure is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries. Verisure - 35 years of delivering peace of mind.

Apsis International AB

💻 Web Manager & Technical SEO Specialist 📍 This role can be based in Utrecht, Netherlands or Malmö, Sweden 💶 Competitive salary + bonus 🌍 International team | 🏡 Hybrid working | 🧠 Learning & career growth Build what's next with us efficy Group is the European home for Tribe, Apsis, and efficy CRM. For years, our brands have earned trust across European markets by building systems that are sovereign, compliant, and now AI-native. Today, we're bringing that story together under one roof, as your European partner for AI-powered CRM. We help organisations turn customer data into autonomous action, structuring systems, orchestrating workflows, and building relationships that scale with AI. Over 300,000 users across 63 countries rely on us to grow smarter, move faster, and build lasting business relationships. Job Overview We're growing the Tribe marketing team and looking for a Web Manager & Technical SEO Specialist based in Utrecht to take full ownership of the Tribe website. You'll be the internal expert keeping the site fast, healthy, and visible, including in AI-generated search results. Sitting at the intersection of technical performance, content structure, and organic growth, your work will directly shape how Tribe is found and experienced online. Your team can't wait to welcome you! What's in it for you? ✔️ Clear ownership of a business-critical website in a fast-growing European tech company ✔️ A front-row seat to where search is heading, including GEO and AI-native discovery ✔️ Career growth opportunities and internal mobility ✔️ Modern offices in 11 European locations ✔️ Fun team events & continuous learning ✔️ Competitive salary with bonus system ✔️ Hybrid working policy What you'll be doing Own the overall technical health of the Tribe website: performance, crawlability, indexation, and uptime Act as the internal point of contact for the external web agency, briefing, reviewing, and signing off on structural changes and new templates Run regular technical SEO audits and turn findings into clear, prioritised actions Manage on-page SEO across markets: metadata, schema markup, internal linking, and crawl budget Optimise content and site structure for visibility in AI-generated summaries from tools like ChatGPT, Gemini, and Perplexity Lead the production of new landing pages, owning QA and ensuring SEO best practices are built in from the start Own website tracking and analytics via GA4 and GTM, and report on organic performance Who you are 3 to 5 years of experience in technical SEO, web management, or a closely related role, ideally in a B2B or SaaS environment Solid grasp of technical SEO fundamentals: Core Web Vitals, crawl architecture, schema markup, and hreflang for multi-market sites Comfortable managing a CMS (WordPress or similar) and coordinating with external development teams Familiar with GEO and AEO concepts, and genuinely curious about how AI search is reshaping organic visibility Analytical by nature, able to translate data from GA4, Search Console, and SEO tools into clear priorities Organised, proactive, and ownership-oriented: you spot issues before they're flagged and follow through Excellent command of English ✨ Ready to succeed and make an impact with us? Apply today - we can't wait to meet you! Please submit your application in English. efficy is a people-first employer, committed to providing equal opportunities for all candidates. We take pride in the diversity of our team and welcome you - exactly as you are. This includes your gender identity, sexual orientation, religion, ethnicity, age, or disability status. Disclaimer efficy does not accept unsolicited assistance from search firms for this employment opportunity. Please refrain from making phone calls or sending emails. All résumés submitted by search firms to any efficy employee without a valid written search agreement will be considered the sole property of efficy. No fees will be paid if a candidate is hired as a result of an unsolicited referral.