スキルハウス・スタッフィング・ソリューションズ 株式会社
Executive Director - Fintech (Data Science & Treasury Technology) About the Role Join a leading global investment banking organization as Executive Director, leading mission-critical treasury and regulatory technology initiatives at the executive level. This highly strategic role offers direct exposure to senior leadership and global stakeholders, with the opportunity to influence enterprise-wide data and regulatory technology strategy within a complex financial environment. You will spearhead large-scale initiatives covering liquidity management, funding operations, regulatory capital, and front-office domains while working in an international, collaborative environment with significant business impact. Key Responsibilities Lead comprehensive liquidity and regulatory capital reporting initiatives across global treasury and finance domains Define and implement enterprise-level data governance frameworks, standards, and scalable data solutions Act as principal technology architect for big data environments and advanced analytics platforms Partner strategically with treasury, regulatory, compliance, and technology stakeholders to drive transformational initiatives Translate complex treasury funding and liquidity business requirements into robust enterprise technology solutions Provide executive-level leadership and strategic direction for large-scale data transformation programs Collaborate with senior stakeholders across global business and technology functions to ensure alignment with organizational objectives Oversee development and implementation of regulatory reporting systems to ensure compliance with international banking regulations Drive innovation in data analytics and machine learning applications for treasury operations Manage cross-functional teams and coordinate with international offices to deliver unified technology solutions Present strategic recommendations and progress updates to C-suite executives and board members Required Qualifications Experience: Minimum 10 years of hands-on experience across data engineering, analytics, governance, and big data domains Leadership: Proven executive-level leadership experience managing enterprise-scale data initiatives with demonstrable business impact Industry Knowledge: Strong understanding of Treasury Funding and Treasury Liquidity regulations in global banking environments Technical Expertise: Deep knowledge of high-frequency trading systems and front-office technology environments Stakeholder Management: Demonstrated experience communicating effectively with senior executive stakeholders and board-level leadership Education: Bachelor's degree from accredited university; advanced degree in relevant field preferred Languages: Fluent Japanese and advanced English communication skills required Authorization: Valid work authorization for Japan required Preferred Qualifications Advanced degree in Finance, Computer Science, Data Science, or related technical field Experience with cloud-based data platforms and modern analytics frameworks Knowledge of international banking regulations including Basel III/IV requirements Background in financial risk management and regulatory capital optimization Experience with agile project management methodologies Work Environment & Benefits Work Style: Hybrid working model with flexibility for one day work from home per week Schedule: Standard business hours (Monday through Friday) Time Off: Comprehensive holiday package including Saturdays, Sundays, National Holidays, paid leave, and additional company holidays Compensation: Competitive compensation package with annual bonus structure Career Growth: Stable long-term career environment with exposure to enterprise-scale global initiatives Culture: International working environment with extensive senior stakeholder exposure and cross-cultural collaboration opportunities Impact: Direct involvement in shaping the future of financial technology and regulatory compliance in one of the world's leading investment banks This role represents an exceptional opportunity for a seasoned technology executive to make a transformational impact on global treasury operations while advancing their career in a prestigious financial institution.
summ-it
About the Role Join summ-it as a Data Quality Analyst and become part of a dynamic team that creates innovative solutions for world-renowned brands. If you're passionate about mastering cutting-edge technologies while working in a collaborative, non-corporate environment, this opportunity is perfect for you. At summ-it, we prioritize your professional growth and provide space for your ideas to flourish. Our team members actively participate in industry conferences and IT events, continuously developing their expertise through comprehensive training sessions and workshops. You'll work with massive databases totaling petabytes and optimize systems where every millisecond matters, currently managing over 10,000 database systems for our diverse client portfolio. Key Responsibilities Data Quality Monitoring: Continuously monitor and ensure data quality across multiple systems, reports, and data pipelines to maintain the highest standards of data integrity Test Design and Execution: Design, develop, and execute comprehensive data quality tests focusing on completeness, consistency, accuracy, and validity metrics Cross-System Verification: Perform detailed data verification and reconciliation between different systems, ensuring seamless data flow from source to target environments Data Analysis and Anomaly Detection: Analyze complex datasets to identify data errors, anomalies, and inconsistencies, implementing corrective measures and preventive solutions Cross-Functional Collaboration: Work closely with Data Engineering, Business Intelligence, and business stakeholder teams to investigate and resolve data quality issues efficiently Pipeline Validation: Participate in comprehensive data validation processes within ETL/ELT pipelines, ensuring data accuracy throughout transformation workflows SQL Development: Create, optimize, and maintain complex SQL queries specifically designed for data quality control and validation processes Test Automation: Develop and implement automated data quality testing frameworks using Python and specialized testing tools to improve efficiency and coverage Documentation and Standards: Create detailed documentation of processes, test procedures, and identified issues while supporting the implementation of enterprise data quality standards and best practices Continuous Improvement: Proactively identify opportunities to enhance data quality processes and contribute to the evolution of our data governance framework Requirements Experience: Minimum 3 years of hands-on experience in data testing, data quality assurance, or related analytical roles Azure Databricks Expertise: Strong proficiency in Azure Databricks including notebooks, job scheduling, Spark cluster management, and distributed data processing Azure Data Factory Knowledge: Comprehensive understanding of Azure Data Factory components including pipeline development, dataset configuration, linked services setup, and monitoring capabilities Azure Synapse Proficiency: Working knowledge of Azure Synapse Analytics, particularly Dedicated SQL pools and their optimization Business Intelligence Tools: Experience with tabular models in Analysis Services and Power BI, including data lineage analysis, semantic model development, and connectivity troubleshooting SQL Mastery: Advanced SQL skills for complex data quality verification, test query preparation, and performance optimization ETL Understanding: Solid grasp of Extract, Transform, Load processes, data warehousing concepts, and modern data integration patterns Automation and CI/CD: Hands-on experience with test automation frameworks and CI/CD practices, specifically using Azure DevOps and TestPlans for deployment and testing workflows Communication Skills: English proficiency at minimum B2 level for effective collaboration with international teams and stakeholders Analytical Mindset: Strong problem-solving abilities with attention to detail and capacity to work with large, complex datasets What We Offer Contract Flexibility: B2B contract employment structure providing professional autonomy Exceptional Culture: Join a workplace built on friendship and trust, with over 92% employee satisfaction and 100% team support ratings Technology Access: Work with the latest IT technologies and cutting-edge data platforms in a rapidly evolving field Growth Opportunities: Career advancement within an established international company with diverse project exposure Comprehensive Training: Regular skill development through "Secure Thursdays," "Science Fridays," and external conference participation Vibrant Community: Engaging company events including seasonal parties, AllHands meetings, "Talk to Your Boss" sessions, Local Wednesdays, and team breakfasts Recognition Programs: "summ-it heroes" recognition system and Kudos rewards celebrating outstanding contributions Referral Benefits: Employee referral program encouraging team growth Health and Wellness: Comprehensive benefits package including medical care, MultiSport card access, and group insurance coverage Join our innovative team where your expertise
Aalto University
About the Role Aalto University's Department of Information and Communications Engineering seeks an outstanding Postdoctoral Researcher in Statistical Signal Processing to join the Structured and Stochastic Modeling Group, led by Prof. Filip Elvander. This position offers an exceptional opportunity to conduct cutting-edge research at the intersection of statistical signal processing, applied mathematics, and emerging 6G wireless technologies. The research focuses on modeling complex modern radio environments where diverse devices and agents share available spectrum. This work is crucial for understanding spatio-temporal radio characteristics and lies at the heart of integrated sensing and communications (ISAC), expected to be a core component of next-generation wireless systems. Key Research Focus The project centers on optimal transport for inverse problems applied to radio spectrum analysis. Optimal transport theory, which addresses mathematical problems of comparing and interpolating distributions of mass, has gained significant attention in applied mathematics and machine learning due to its flexibility, mathematical elegance, and state-of-the-art results across numerous applications. As part of a larger consortium with industrial partners, you'll collaborate with world-class researchers spanning estimation and optimization theory to hardware design, contributing to both foundational theoretical advances and industry-relevant applications. Primary Responsibilities Develop mathematical models for describing complex radio environments and multi-agent spectrum sharing scenarios Design and implement algorithms for estimating location and spectral characteristics of signal sources using antenna array measurements Apply optimal mass transport theory and convex modeling techniques to solve inverse problems in signal processing Conduct research in cognitive and adaptive spectrum use, contributing to the development of future wireless systems Investigate passive-sensing applications for target and signal source localization Collaborate with interdisciplinary team members across applied mathematics, signal processing, and communications engineering Publish high-quality research findings in peer-reviewed journals and present at international conferences Contribute to grant applications and research proposals for continued funding Provide guidance and mentorship to doctoral researchers within the group Participate in academic conferences, workshops, and collaborative meetings with consortium partners Engage in knowledge transfer activities with industrial partners Required Qualifications PhD degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or closely related field Strong publication record demonstrating research excellence and impact Excellent English proficiency in both written and spoken communication Advanced programming skills in Matlab and Python, with experience in implementing complex algorithms Deep understanding of statistical signal processing, estimation theory, and optimization methods Knowledge of applied mathematics including convex optimization, probability theory, and statistical modeling Experience with inverse problems and computational mathematics approaches Familiarity with array signal processing and antenna array technologies Preferred Qualifications Background in optimal transport theory or related mathematical frameworks Experience with machine learning applications in signal processing Knowledge of information theory and wireless communications systems Previous exposure to multi-disciplinary research environments Experience mentoring graduate students or early-career researchers Track record of collaboration with industry partners Personal Attributes Curious mindset with passion for fundamental research and theoretical exploration Strong appetite for working with advanced mathematical theory and methods Interest in multi-disciplinary research spanning mathematics, engineering, and communications Collaborative spirit and ability to work effectively in international, diverse teams Leadership potential for guiding and inspiring doctoral researchers Adaptability to work in dynamic research environments with evolving objectives What We Offer The Department of Information and Communications Engineering provides a world-class research environment with strong international collaborations and cutting-edge facilities. You'll join a diverse, multicultural workplace that actively promotes inclusivity and welcomes qualified candidates from all backgrounds. Research Environment Benefits: Access to expertise from world-leading researchers across the consortium Collaborative community of doctoral and postdoctoral researchers State-of-the-art research facilities and computational resources Opportunities for international conference presentations and networking Strong industry connections through consortium partnerships Professional Development: Excellent learning and development opportunities Mentorship and career guidance from established faculty Exposure to both theoretical foundations and practical applications Opportunities to develop grant writing and project management skills University Benefits: Competitive compensation according to Finnish university salary system Comprehensive occupational health care services Commuter ticket benefits and transportation support Access to Unisport recreational and fitness facilities Supportive work-life balance policies Position Details This is a **two-
Marimekko
About the Role Join Marimekko, a renowned Finnish lifestyle design company, as we transform our business operations through artificial intelligence. This is not a traditional machine learning role – our focus is on building AI into business workflows and products that drive real impact across our global retail operations. Marimekko has been an icon of original prints and colors since 1951, with a product portfolio spanning high-quality clothing, bags, accessories, and home décor items. With over 170 stores globally and an online presence serving 39 countries, we're at the point where AI needs to become integral to how our company operates across Northern Europe, Asia-Pacific, and North America. Key Responsibilities AI Integration & Business Workflow Development Build AI capabilities directly into real business workflows rather than creating isolated use cases Transform AI from experimental technology into scalable, operational capabilities Develop AI-powered solutions across pricing and promotions, assortment and demand forecasting, customer insights and personalization, and retail operations Move beyond traditional dashboards to deliver actionable AI outputs that drive business decisions Technical Implementation & Infrastructure Design and implement LLM-based solutions including copilots and intelligent assistants Build robust data pipelines specifically for AI use cases Establish evaluation, monitoring, and feedback loops for AI systems Work closely with existing data platform infrastructure including Fivetran and Snowflake Develop APIs and integrations that support AI-powered business processes Rapid Prototyping & Strategic Scaling Prototype AI solutions quickly using modern APIs and LLM technologies Make strategic decisions about which solutions should be productionized and scaled Balance development speed with system robustness based on business impact Experiment with emerging AI technologies and evaluate their potential for business application Cross-Functional Collaboration Partner with teams across retail, e-commerce, and operations to identify AI opportunities Help business teams actually implement and use AI solutions effectively Translate business requirements into technical AI solutions Provide guidance on AI best practices and implementation strategies Requirements Technical Expertise Strong hands-on experience with APIs and data pipeline development Proficiency with modern AI stack including LLMs, embeddings, and vector databases Experience building end-to-end AI solutions, not just developing models Understanding of data architecture and integration patterns Familiarity with cloud platforms and scalable system design Business-Focused Mindset Ability to question whether something should be built, not just how to build it Focus on measurable business impact over technical elegance Comfortable working with ambiguity and evolving strategic direction Experience translating business needs into technical requirements Understanding of retail, e-commerce, or consumer goods industry dynamics preferred Professional Qualities Strong problem-solving skills and analytical thinking Excellent communication skills for cross-functional collaboration Self-directed work style with ability to manage multiple priorities Adaptability to work in a fast-paced, international business environment Passion for innovation and emerging technologies What We Offer Company Culture & Values Work with an iconic Finnish brand recognized globally for design excellence Join a company culture founded on equality, inclusion, and diversity Opportunity to be yourself in an environment that values fairness and collaboration Work in an exciting international business environment across multiple markets Professional Development Unique opportunity to shape AI strategy at a leading lifestyle design company Exposure to diverse business functions across retail, e-commerce, and operations Collaborate with talented teams across our global organization Contribute to the digital transformation of an established, successful brand Marimekko values a diverse workforce and encourages applications from all qualified candidates regardless of background. We believe in finding joy in our work while using common sense and working together toward shared goals. Join us in revolutionizing how AI powers the future of retail and lifestyle design.