Junior Product Manager

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will work at the point where product priorities and engineering decisions come together, shaping how iOS solutions are built and evolved. In this role, you will partner closely with product managers, designers, engineering leaders, backend developers, and QA to turn business needs into high-quality mobile experiences without compromising on coding standards or long-term maintainability. You will have a senior voice in architecture, technical direction, and best practices, while staying hands-on in development. This is a strong opportunity for you if you enjoy combining advanced iOS engineering with architectural influence, performance work, and mentorship. Job DescriptionYou will lead the design, development, and maintenance of advanced iOS applications using Swift and SwiftUI. You will drive technical decisions, guide architecture choices, and help establish scalable and maintainable solutions. You will collaborate with product managers, designers, and developers to define requirements and deliver new features. You will mentor junior developers through technical guidance, knowledge sharing, and code reviews. You will review code, promote best practices, and help maintain high standards for quality and consistency. You will identify and solve complex technical issues related to performance, memory management, rendering, and concurrency. You will work with backend developers to integrate mobile applications with APIs and server-side systems. You will collaborate with QA to support thorough testing and reliable deployments. You will contribute to Agile/Scrum ceremonies, including sprint planning and estimations. You will stay current with new iOS tools, frameworks, and development practices, and help the team adopt them when relevant. RequirementsStrong expertise in SwiftUI, including declarative syntax, component-based architecture, and complex UI implementation. Strong programming skills in Swift and the ability to write clean, efficient, and maintainable code. Experience with Objective-C. Solid understanding of software architecture and design patterns such as MVVM, VIPER, or Clean Architecture. Deep knowledge of the iOS SDK and Apple frameworks such as UIKit, Core Data, Core Animation, and Core Graphics. Experience building intuitive, detailed, and high-quality user interfaces. Strong ability to optimize app performance, reduce memory usage, and improve rendering efficiency. Experience with RESTful APIs, asynchronous network requests, JSON parsing, authentication, and robust error handling. Strong debugging and troubleshooting skills using tools such as Xcode debugger, console, crash logs, and system logs. Experience with unit testing. Understanding of DevOps practices and collaboration in modern delivery flows. Experience working in Agile/Scrum development environments. Nice to haveExperience using Instruments for performance analysis and optimization. Experience providing technical leadership and mentoring other developers. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

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.

II-VI Järfälla AB

Coherent Corp is the global leader in photonics, designing and manufacturing advanced laser, optical, and materials technologies. Our innovations power semiconductor manufacturing, AI infrastructure, advanced communications, and precision industrial systems worldwide. With a global footprint and cutting-edge manufacturing and R&D, we’re shaping the future of high-tech industries. In Sweden, our teams operate Sweden’s only full-scale indium phosphide wafer fabrication facility, where we design, manufacture, and test some of the world’s fastest optical chips under one roof, supporting AI infrastructure, data centres, and global communications networks worldwide. The Role This is a senior, hands-on software engineering role within an R&D environment, supporting the development of next-generation optoelectronic and semiconductor components. The role is focused on building the software infrastructure used to control instruments, test devices, capture measurement data, and support automated test solutions from early prototype development through to production use. You will work closely with teams across Chip Design, Wafer Fabrication, Process Engineering, Operations, Quality & Reliability, Verification, and Project Management. Your work will support both early-stage R&D testing and the development of robust, automated test solutions that can later be used in production. What you will be doing... Design, develop, and maintain software applications for optical and electronic test systems. Build software used to control instruments, test devices, collect measurements, and process data. Develop software infrastructure that supports early prototype testing and automated production test solutions. Work closely with verification, engineering, and manufacturing teams during new product development. Contribute to the planning and design of new test setups and measurement workflows. Develop algorithms and software features that improve automation, efficiency, test coverage, and data quality. Analyse measurement data to verify test quality and support root-cause investigations. Release, maintain, and continuously improve software used across development and manufacturing phases. Ensure software is documented, reliable, maintainable, and aligned with internal standards. Support knowledge sharing within the team and mentor more junior colleagues when required. Represent the test software perspective in cross-functional project work when needed. About You A Master’s degree in Computer Science, Engineering, Physics, or a related field. Strong professional experience in software development. Strong object-oriented programming experience, ideally in C#, C++ or Java. Experience developing software for test systems, industrial systems, scientific equipment or similar technical environments. Ability to work close to hardware, instruments, devices, and measurement data. Experience with Python or MATLAB would be beneficial. Experience with data analysis, modelling, simulations, or measurement processing would be beneficial. Experience in semiconductor, electronics, optoelectronics, industrial automation, or manufacturing test environments would be highly relevant. Nice to haves: Experience with optical, photonic, or optoelectronic test systems Experience working with semiconductor devices, lasers, modulators, wafers, chips, or modules. Experience developing automated production test solutions. Experience supporting new product introduction from prototype through to production. Experience leading technical workstreams or representing software/test development in project teams. Ensure adherence to company’s values (ICARE) in all aspects of your position: Integrity – Create an Environment of Trust Collaboration – Innovate Through the Sharing of Ideas Accountability – Own the Process and the Outcome Respect – Recognize the Value in Everyone Enthusiasm – Find a Sense of Purpose in Work Application & Selection: Current employees who wish to apply should submit a cover letter detailing their interest in the position and how their skills and experience align with the requirements of the role. If you require any adjustments or accommodations during the application process, please reach out to Alyxandra.Highland@coherent.com. We are committed to creating an inclusive and accessible recruitment experience and encourage applications from individuals of all backgrounds.