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.
Universität Wien
About the Role The University of Vienna's Faculty of Psychology is seeking a dedicated University Assistant Predoctoral to join our dynamic Cognitive Psychology research group within the Department of Cognition, Emotion, and Methods in Psychology. This is an exceptional opportunity to pursue doctoral research in an internationally recognized academic environment while contributing to cutting-edge investigations in human perception, attention, and related cognitive processes. As part of our vibrant academic community of nearly 11,000 individuals, you'll join a faculty that serves approximately 3,500 psychology students across Bachelor's, Master's, and PhD programs. Our department is committed to providing comprehensive support and supervision to ensure your successful completion of a PhD thesis through innovative research methodologies. Key Responsibilities Research & Doctoral Studies: Conduct independent research in visual attention, perception, eye-tracking, and related cognitive domains to advance your doctoral dissertation Design, program, and execute behavioral experiments with human participants using state-of-the-art laboratory equipment and online platforms Collect and analyze complex datasets, including electroencephalographic (EEG) and eye-tracking data Develop experimental paradigms as web applications for remote data collection Prepare and submit research findings to ISI-listed, peer-reviewed journals for publication Complete a cumulative dissertation based on at least three manuscripts, with one accepted for publication prior to thesis submission Finalize dissertation agreement within 12-18 months of appointment Enroll in the Vienna Doctoral School in Cognition, Behavior and Neuroscience (VDS CoBeNe) Teaching & Academic Service: Independently conduct undergraduate and graduate courses within collective bargaining agreement provisions Supervise student research projects and provide academic mentorship Contribute to curriculum development and pedagogical innovation Utilize e-learning platforms and modern teaching methodologies Administrative Duties: Support departmental research initiatives and collaborative projects Participate in faculty meetings, committees, and academic governance Assist with grant applications and research project management Contribute to laboratory maintenance and equipment calibration Requirements Essential Qualifications: Completed Master's degree or Diploma in Psychology, Biology, Computer Science, or Linguistics Demonstrated computational expertise in multiple programming languages and analytical tools Strong proficiency in Python (numpy, pandas, scikit-learn, PyTorch), R (Tidyverse), or Julia Experience with statistical analysis software and research methodologies Academic writing experience and familiarity with scientific publication processes Fluency in both English and German (C1 level English required) Excellent interpersonal and communication skills Technical Skills: Proficiency in JavaScript/HTML/CSS, Docker, GNU/Linux, SQL, JASP, and LaTeX Experience with neuroimaging analysis tools (Nipype/Nilearn, FSL, SPM, Freesurfer) Knowledge of Microsoft Office suite and academic software platforms Ability to develop and deploy web-based experimental applications Desirable Qualifications: Previous experience with EEG recording and analysis Eye-tracking methodology expertise Background in perception, memory, or language research Didactic experience and e-learning competencies Demonstrated problem-solving abilities and autonomous working style Interest in emerging interdisciplinary research fields What We Offer Professional Development: Comprehensive supervision and mentorship for doctoral studies Access to over 600 internal training courses and coaching programs Opportunity to work with cutting-edge research equipment and methodologies International collaborative research opportunities Career guidance and academic networking support Work Environment: Flexible, family-friendly working arrangements including remote/hybrid options Part-time work opportunities upon agreement Inspiring international academic atmosphere Healthy and fair working environment promoting work-life balance Modern facilities in central Vienna with excellent public transportation access Employment Terms: 30-hour weekly position with competitive compensation 3-year initial contract (Predoc Contract Model 1: initially 1.5 years, automatically extended to 3 years if not terminated within first 12 months) Possibility of extension to maximum 4 years based on satisfactory progress Comprehensive benefits package and professional development support Equal Opportunity Commitment: The University of Vienna champions diversity, equal opportunities, and the advancement of women in academia. We particularly encourage applications from qualified women candidates and are committed to anti-discriminatory employment practices.
Toyota Material Handling Europe
About the Role Toyota Material Handling Europe is strengthening our Enterprise Architecture (EA) team with a strategic architect who will play a pivotal role in shaping the AI and Data landscape across our European operations. As a key member of our EA team, you will contribute to the full Enterprise Architecture model while focusing on direction, principles, and guardrails that support scalable, harmonized, and business-aligned development. This is a strategic EA position where you will drive alignment, support architectural and investment decisions, and guide our AI program, Data team, Solution Architecture, and business stakeholders by providing structure, direction, and decision support. You will work in close collaboration with established AI, Data, and Security capabilities, connecting perspectives and shaping a coherent architecture rather than implementing technical solutions directly. Key Responsibilities Contribute to and shape enterprise-level AI and Data architecture principles, target states, and reference patterns Drive direction for Information and Data architecture, including data domains, information structure, interoperability, and ownership models Ensure alignment between business needs, AI initiatives, data platforms, and the overall EA model Translate business requirements and transformation objectives into actionable architectural guidance Support decision-making processes in relevant governance and investment forums Collaborate with the AI program, Data team, Solution Architects, CISO, and Legal teams to support scalable, secure, and compliant solutions Contribute to architecture governance and reviews from an AI and data perspective Support business areas in exploring and scaling data-driven and AI-enabled capabilities Help strengthen architectural understanding and ways of working across TMHE Facilitate structured dialogue between technical and business stakeholders Develop and maintain architectural documentation, standards, and best practices Provide guidance on technology selection and platform decisions related to AI and data initiatives Support the development of data governance frameworks and policies Mentor and build architectural maturity within the organization Requirements Broad experience in Enterprise Architecture or related strategic architecture roles Strong understanding of data-driven architecture with genuine interest in AI and emerging capabilities Ability to see the holistic picture and understand how processes, data, applications, and platforms interact to create business value Proven experience engaging with business stakeholders and facilitating structured dialogue Demonstrated ability to translate business needs into architectural guidance and technical direction Comfortable working in data-driven environments where AI increasingly influences business processes Excellent communication skills with ability to explain complex technical concepts clearly and pragmatically Curious, collaborative mindset with confidence to take leadership when required Interest and ability to teach, guide, and build architectural maturity across the organization Strong analytical and problem-solving capabilities Experience with architectural frameworks and methodologies Knowledge of data management principles, data governance, and information architecture Understanding of AI/ML concepts and their enterprise implications Familiarity with cloud platforms and modern technology stacks Experience working in international, multicultural environments Fluent in spoken and written English Relevant education in Computer Science, Information Systems, Engineering, or related field What We Offer At Toyota Material Handling Europe, we don't just offer jobs—we offer careers with purpose. Join over 13,500 passionate colleagues who support companies across Europe with today's and tomorrow's material handling challenges. You'll have the opportunity to work with AI and data at a strategic level in a truly international organization that creates technology keeping the world moving. We're committed to supporting your success with an attractive benefits package, including yearly bonus opportunities and flexible work arrangements that promote healthy work-life balance. With clear goals and direction from senior leadership, you'll find abundant opportunities for career growth and development within our organization. Our culture celebrates continuous learning and development, whether you're developing new skills or leading ground-breaking projects. Collaboration is at the heart of everything we do, and we foster a supportive, open environment where every voice is heard and valued. Work from our headquarters in Mjölby, Sweden, or Willebroek, Belgium, and be part of an extraordinary journey as we Move the world towards easy and sustainable solutions.
Toms Gruppen
About the Role Are you ready to kickstart your career in Financial Planning & Analytics (FP&A) and contribute to decision-making processes at an international company with strong brands and Nordic heritage? Toms is seeking an engaged and ambitious finance student to strengthen our FP&A work within the CFO Office. As a Student Assistant, you will become an integral part of the FP&A team and play a central role in supporting our financial planning and reporting processes. This position offers hands-on experience with forecasts, performance monitoring, and analyses that form the foundation for management decisions. You will work closely with the FP&A team and gain insight into how finance creates value and provides oversight in a complex business environment. Key Responsibilities Support the FP&A team in developing financial forecasts and comprehensive analyses Prepare decision-support materials and professional presentations for management Ensure structured data processing and maintain high data quality standards Contribute to optimization and streamlining of processes within financial planning and reporting Assist with monthly, quarterly, and annual reporting cycles Participate in variance analysis and performance tracking initiatives Support budget preparation and strategic planning processes Collaborate with various departments to gather and validate financial data Help maintain financial models and dashboards Contribute to process documentation and improvement initiatives Requirements Currently pursuing a relevant degree in economics, finance, or equivalent (e.g., HA, Cand.Merc., Cand.Polit.) Strong interest in financial planning and analysis Analytical mindset with enthusiasm for working with numbers and data Excellent system understanding and proficiency in Excel Structured and detail-oriented working approach with ability to take independent responsibility Strong communication skills in both Danish and English Ability to work effectively both independently and as part of a team Proactive attitude with strong problem-solving capabilities Understanding of basic financial principles and accounting concepts About Toms Since 1924, Toms has been driven by a desire to bring smiles to people all over the world. We build on a heritage of generations of proud and visionary craftsmen, whose passion continues to inspire us. At Toms, we smile when we make a difference at work, and when we build an environment where we grow and thrive. What We Offer Relevant and value-creating experience within FP&A Close mentorship and sparring with experienced finance professionals Insight into management reporting and decision-making processes Flexible working hours that can be adapted to your studies Informal yet ambitious work environment focused on both professional and personal development Opportunity to gain practical experience in a well-established international company Exposure to various aspects of financial management in a complex business Professional development opportunities and potential for career advancement Collaborative team environment with experienced finance professionals Join our team and gain valuable experience that will strengthen your foundation for a successful career in finance while contributing to a company that embraces differences, lives passions, and takes responsibility for people and communities worldwide. Toms promotes equality and encourages all qualified persons to apply regardless of age, gender, sexuality, religion, ethnic origin, or disability.
LISER
About the Role The Luxembourg Institute of Socio-Economic Research (LISER) is seeking a Research Associate (Post-doctoral, f/m) to join their Urban Development and Mobility department for a groundbreaking 24-month research project. This full-time position offers an exceptional opportunity to contribute to cutting-edge interdisciplinary research examining the intersection of housing and migration patterns over more than a century. You will be instrumental in the FNR-funded P(R)OP2 project – Property Data Meets Population Data in Past and Present: Migration and Property Relations in the Long Run (1910-2024) – a collaborative initiative between the C2DH at the University of Luxembourg and LISER. This innovative project challenges conventional assumptions about migrant integration by examining how housing availability and access shape integration outcomes rather than focusing solely on individual choices or cultural factors. Key Responsibilities Conduct comprehensive analyses of migrant integration and segregation patterns through housing in Dudelange spanning 1910 to 2024 Work with rich historical and contemporary datasets including land registry archives, population censuses, migrant arrival records, and administrative population registers Develop and implement quantitative and qualitative research methodologies with strong spatial analysis components Produce high-quality research outputs aligned with the department's scientific objectives and policy-relevant goals Collaborate with historians and social scientists from diverse disciplinary backgrounds including geography, economics, sociology, and urban planning Contribute to academic publications, policy briefs, and research dissemination activities Present findings at national and international conferences and academic meetings Participate in departmental research activities and contribute to grant proposal development Support the department's mission of understanding urban dynamics and cross-border integration Engage in knowledge transfer activities to maximize societal impact of research findings Requirements Essential Qualifications: Ph.D. (completed or near completion) in housing studies, geography, urban history, sociology, or other relevant social sciences Demonstrated research experience in housing studies, migration studies, or urban history Strong track record of research outputs with demonstrable social impact Excellent written and oral communication skills in English Proven ability to work with complex datasets and apply appropriate analytical methods Experience with spatial analysis techniques and methodologies Strong collaborative skills and ability to work in interdisciplinary teams Preferred Qualifications: Proficiency in French or German Experience with historical data analysis and archival research Knowledge of Luxembourg's social and urban development context Familiarity with policy-relevant research and knowledge transfer activities Previous experience in international research environments What We Offer Research Environment: Dynamic, stimulating, and international research environment with approximately 200 employees Access to world-class research facilities at the Belval campus, home to the University of Luxembourg and leading research institutes Collaborative opportunities with the Luxembourg Income Study (LIS), Luxembourg Institute of Health (LIH), and Luxembourg Institute of Science and Technology (LIST) Membership in a department recognized for excellence in urban development and mobility research Professional Development: Comprehensive career support and development opportunities including specialized trainings and seminars Financial support for participation in international meetings and conferences Mentorship and guidance from leading researchers in the field Opportunities to develop competitive funding proposals with tailored institutional support Access to cutting-edge research infrastructure and analytical tools Work-Life Balance: Flexible working hours and teleworking possibilities 32.5 days of annual leave for full-time contracts Competitive remuneration package according to Collective Bargaining Agreement Additional benefits including meal vouchers and bonus payments LISER particularly encourages applications from female researchers and maintains a strong commitment to equal opportunity employment. Join our internationally recognized institute focused on scientific excellence and societal impact, contributing to sustainable and inclusive society through multidisciplinary research.