Senior Product Manager, Data / ML

Avanza

Nu söker vi en Engineering Manager till vår nya satsning på en central AI-plattform inom Tech. I den här rollen kommer du dels leda leveransen av vår AI-plattform. Du kommer även ha stort att ansvar att tillsammans med övriga ledare förändringsleda AI-transformationen inom hela Avanza tech. På Avanza tror vi på agila och självstyrande team som tar fram sina egna arbetsprocesser. För att förverkliga våra ambitioner jobbar vi insiktsdrivet, och vi tror starkt på ett lagarbete där vi värdesätter att göra stora förflyttningar tillsammans. OM TJÄNSTEN Product & Tech består av ett 30-tal utvecklingsteam. Det nya AI-teamet blir en del av vår plattformsarea, där vi utvecklar den tekniska grund som Avanza står på. För att lyckas i uppdraget arbetar du i ett tight och prestigelöst partnerskap med teamets Product Manager. Tillsammans är ni nyckelpersoner i att skapa energi, lärande och engagemang kring AI i organisationen, men ni har en tydlig gränsdragning i vardagen: PM äger produktvisionen, "varför" och "vad", medan du äger leveransen, teamprocessen och "hur:et". DINA HUVUDSAKLIGA ANSVARSOMRÅDEN: * Teamledning & Leverans: Du har personalansvar för ingenjörerna, bygger en effektiv leveransapparat och ansvarar för att rekrytera rätt kompetens till det nya teamet. Du formar en kultur som präglas av tillit, kontinuerligt lärande, autonomi och sund riskhantering. * Tekniskt ledarskap för AI-plattformen: Du säkrar att de tekniska lösningarna följer Avanzas målarkitektur, säkerhetskrav och regelefterlevnad. Du ansvarar för driften av teamets komponenter (incidenthantering, larm och riskreducering). Även om du inte är en Tech Lead på heltid, är du tillräckligt operativ för att själv delta i koden och leveransen när det behövs. * Operativ förändringsledning: Du fungerar som en pragmatisk AI-evangelist ute i våra andra utvecklingsteam. Genom "show, don't tell" hjälper du dem att förändra sina arbetssätt i praktiken, arrangerar demos och driver en faktisk beteendeförändring kring AI på hela bolaget. VEM VI SÖKER Vi söker dig som är en trygg, senior och hands-on ledare med en gedigen bakgrund inom systemarkitektur, driftansvar och säkerhet i storskaliga miljöer. För att trivas i rollen är du en pragmatisk "doer" som är starkt exekutiv och älskar att driva saker i mål. Du kombinerar ett empatiskt och coachande ledarskap med en vilja att själv vara operativ och tekniskt insatt. VI SER ATT DU HAR: * Erfarenhet av personalansvar och att leda ingenjörer, gärna i motsvarande roll och i ett moget techbolag. * Praktisk, hands-on erfarenhet av AI/ML. Du har använt AI mycket och spec-drivet i din egen kodning, samt varit med och byggt lösningar där AI är integrerad i plattformen eller produkten. * Erfarenhet från en mogen AI-miljö som har kommit ett par steg längre, vilket gör att du redan har stött på de utmaningar och fallgropar som vi har framför oss. * Relevant högre utbildning inom teknik, IT eller motsvarande område. DET ÄR MERITERANDE OM DU HAR: * Erfarenhet av att framgångsrikt driva tech-communities, organisera demos och facilitera kunskapsdelning över avdelningsgränser. * Erfarenhet eller personligt intresse av privatekonomi och investeringar. * Som person är du en prestigelös lagspelare som trivs i en föränderlig miljö. Du pratar inte bara om AI-strategier på papperet, utan motiveras av att sätta dig med teamen i vardagen för att visa hur det skapar konkret värde för både kund och bolag. ANSÖKAN Skicka din ansökan genom att klicka på knappen Ansök nedan. Skicka gärna din ansökan snarast då urvalet sker löpande. Har du några frågor kring tjänsten kontaktar du Jakob Huldt, Engineering Director, jakob.huldt@avanza.se Varmt välkommen med din ansökan! Vi undanber oss vänligen men bestämt kontakt från rekryteringsföretag och annonssäljare.

PostNord Group AB

Forecasting only creates value when the business trusts it and acts on it - and that trust is built out in the operation, in conversations with the people planning volumes, routes, and staffing every day. We're strengthening our Forecasting team and looking for a Product Owner to own that bridge between the team and the business, and to help a talented group of specialists turn deep technical work into real operational impact. You'll own the what and the why - vision, roadmap, priorities, and value - working alongside a Tech Lead who owns the how. And as much as you'll shape the backlog, you'll shape the team: you're a natural coach who creates focus, clears the path, and helps skilled people grow their product and stakeholder instincts so they can do their best work. Join us The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll be the connective tissue between deep machine learning capability and the operational decisions it exists to support, across logistics domains such as volumes, routing, and staffing. Job duties Own and communicate a clear product vision and roadmap for forecasting - grounded in business value. Spend real time out in the operation: build relationships across logistics business units, understand how planning decisions are actually made, and bring that context back to the team. Be the trusted face of the team to the business - manage expectations, communicate progress and trade-offs honestly, and build demand and adoption for what forecasting can do. Translate operational challenges into a prioritised, well-shaped backlog the team can act on with confidence. Coach and support the team - create focus, remove obstacles, shield them from noise, and help colleagues develop their product thinking and stakeholder skills. Define what "good" looks like: connect forecasting work to decision quality, trust, and measurable business outcomes. Partner closely with the Tech Lead and Senior Data Scientists to balance ambition with what's realistically deliverable. Solid experience as a Product Owner or Product Manager, ideally for data, analytics, or other decision-support products. A proven coach and team builder - you lead through influence and clarity, and you bring the best out of skilled people without relying on authority. Strong stakeholder and relationship skills, and the energy and confidence to spend much of your time out in the business rather than behind a desk. The ability to translate fluently between business needs and technical reality, in both directions. Comfort with how data science and forecasting actually work - you don't need to build models, but you understand uncertainty, iteration, and why these products behave differently from standard software. Strong prioritisation and communication skills. Meritorious experience Background in logistics, supply chain, or operational planning. Experience owning analytics, ML, or forecasting products. Familiarity with Databricks and Azure environments. A track record of growing the product and delivery maturity of a technical team. Agile or lean delivery experience. Language requirement Fluent English in speech and writing. Because so much of this role is spent face to face with the Nordic business, proficiency in at least one Scandinavian language is strongly meritorious. Why this role matters Forecasting sits at the core of how PostNord plans and runs its network. The difference between a model and a measurable impact is adoption - and adoption is your job. You'll be the reason the business understands, trusts, and acts on what the team builds, and the reason a strong team keeps getting stronger. Your profile You're an experienced product person who leads through people. You get your energy from being out in the business, listening hard, and turning what you hear into clear direction. You're a coach at heart - you create focus and momentum, and you help others grow rather than doing everything yourself. You hold a firm line on priorities while keeping the team motivated and protected from distraction. You're pragmatic, trusted, and equally at home in an operational planning meeting and a technical refinement session. Most of all, you want to help build something stronger: a high-performing forecasting team whose work the whole organisation relies on. We offer A central, high-visibility role connecting your team to the heart of the business A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey Apply Welcome to submit your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

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.