Duties: Lead Model Validation activities for the IMM model suite, including prioritization of the Book of Work for the team; Conduct independent testing to assess model accuracy and robustness under different scenarios and market conditions, including, where appropriate the evaluation of developer documentation and testing; Assess, quantify and communicate to stakeholders model risks due to model limitations and compensating controls; Develop and apply high-quality validation standards by conducting independent testing to assess model accuracy and robustness under different market conditions; Highlight risks and limitations of models and communicate findings to stakeholders, senior management, and governance committees
Requirements: Masters or Ph.D. degree (or equivalent) in Finance, Mathematics, Physics, or a related quantitative field; The ideal candidate has strong experience with counterparty credit risk modelling framework gained at a financial institution, including experience facing regulatory requests; The ability to effectively communicate with a wide range of stakeholders (incl. senior management and internal/external auditors), both written and verbally

Duties: Lead end-to-end data science Enterprise Excellence projects, from problem formulation to model deployment to address Citi Line of Business challenges and opportunities; Collaborate closely with cross-functional teams, including technology, re-engineering, product management, and business stakeholders, to define project requirements and deliverables; Apply advanced statistical and machine learning techniques to analyze large, complex datasets and extract actionable insights; Apply mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights; Develop predictive models, algorithms, and data-driven solutions to optimize business process, improve product performance, and drive strategic decision-making; Design and conduct experiments, tests, and casual inference analysis to evaluate the effectiveness of interventions and initiatives
Requirements: Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics, or related field; 6 to 8 years of relevant experience, with 4+ years of professional experience in data science, with strong foundation in statistical analysis, machine learning, and data visualization; Proficiency in programing languages such as Python, R, or Scala, and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, or spark; Solid understanding of experimental design, hypothesis testing, and casual inference methods; Experience with SQL and relational databases for data manipulation and querying; Proficiency with data mining, mathematics, and statistical analysis

Duties: Development, enhancement and maintenance of market risk capital forecasting models under stress scenarios to ensure ongoing appropriateness and adaptations to new regulations (e.g. FRTB); Contribution to key regulatory deliverables and programs (e.g. FRTB) as well as analysis and interpretation of key regulatory requirements; Perform ongoing monitoring and evaluation of market risk capital forecasting models, review existing models to ensure they remain fit for purpose and make improvements where necessary; Collaborate closely with the model validation team to understand validation findings and remediate any identified issues
Requirements: MSc or equivalent in a quantitative subject (such as quantitative finance, statistics/mathematics, sciences or engineering); Deep understanding of quantitative risk including good knowledge of financial products and their risk representation; Demonstrable experience in delivering enhancements to risk models; Excellent mathematical, analytical, problem solving and troubleshooting skills

Duties: The Director, Quantitative Model Validator position will report directly to the Head of Model Validation for AI/ML and manages a team of quantitative model validators to test and evaluate the conceptual soundness of models and assess limitations and suitability for use. Subject matter authority in the key model risk area of Artificial Intelligence/Machine Learning and other related modeling areas
Requirements: Has a proven track record with a minimum of eight years of experience with Masters (or six years with PhD) in model risk management in banking or insurance; Has a master’s degree in science, data science, math, statistics, or related area; Previous people leadership experience and shown ability to mentor and develop people; Confirmed ability to apply both strategic and analytic techniques to provide business solutions and recommendations; Ability to work independently with high initiative and comfortable working optimally in a collaborative team environment

Duties: Prepare and validate data, and then build and validate a scoring model using logistic regression or alternative quantitative/machine learning methods; Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs; Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary; Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive ...
Requirements: 3+ Years of relevant experience in strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques; Experience in creating and assessing Statistical Models; Highly-skilled and good working knowledge of Python/SAS & MS Office Suite; Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls; Team working experience (demonstrated team player ability required)

Duties: Partner with Product and Engineering teams through analyses, reporting, modelling, and generate valuable insights to aid in decision making; Conduct quantitative analyses on partner, advertiser, and customer behaviour to help Product Managers and Engineering refine their product strategy; Provide product managers and engineering teams with recommendations that help them achieve business outcomes through by unearthing actionable insights across our product suite; Create and maintain dashboards and reports to baseline and monitor Product usage and company-wide metrics; Define measurement frameworks and analyze key metrics and to inform decision-making and measure success
Requirements: 6+ years of experience in Analytics or Data Science; Deep SQL skills and proficiency in working with big data and ETL management; Autonomous, detail-oriented, and comfortable with breaking down ambiguous problems into quantitative solutions; Passion for extracting actionable insights that move the business forward; Good business acumen and communication skills (written and verbal). Proficient in being able to distil complex findings and analyses into simple outputs, and engage with senior leadership; Experience with visualization tools such as Tableau

Duties: Support market risk analytics projects in multiple areas, including FRTB (Fundamental Review of the Trading Book, the next generation of market risk regulatory framework) CCAR (Comprehensive Review of the Trading Book), and LIBOR transition; Develop market risk models critical for quantifying the market risk exposures of Citi’s trading book and calculating regulatory capital; Collaborate with other teams include Risk IT to implement new models, resolve production issues and enhance existing implementation; Calibrate model parameters, perform variance analysis to explain the changes in model output due to parameter updates; Perform ongoing analysis of models, including backtesting and profit attribution analysis (PAA); On a regular basis, engage market risk managers and the businesses on analytics-related matters; Develop and maintain technical documentation
Requirements: Master’s Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with 6+ years of Quantitative experience; Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a PhD, a second Master’s degree, CPA or CFA; Strong technical skills, proficiency in a computational language such as Python or R is required; familiarity with SQL and UNIX is a plus; Experience with analyzing large and complex data sets; Good verbal and written communication skills

Duties: Review, test, challenge and build independent benchmarks for statistical models used in stress testing and risk management; Interact with a diverse group of global stakeholders from various areas of the Firm; Produce written model review reports; Conduct real-time analyses of model performance in response to market events; Participate in the model control and model risk management processes of the Firm
Requirements: At least a Bachelor’s degree in Economics, Mathematical Finance, Mathematics, Physics, Engineering, Statistics or a related quantitative field (Master’s or Ph.D. is an advantage); Genuine and broad interest in financial markets, data and modelling; internal drive to spot, challenge and fix potential gaps and inconsistencies in statistical models using quantitative methods; Logical thinking, good business sense and judgment; Strong interpersonal and communication skills; Experience or strong interest in programming in a high-level language such as R or Python

Duties: The School of the Arts and Media is seeking a Lecturer Level B in Journalism and Communication to contribute to teaching and research in our media programs
Requirements: A PhD in journalism and communication or a related discipline; A background in journalism or related media industries; A record of proactively keeping up to date with discipline knowledge and developments in the field of journalism and communication

Duties: You will be expected to conduct original, rigorous, and internationally significant research in development economics, and to help build our already strong community of doctoral and post-doctoral researchers. Core teaching will contribute to BSc and MSc programmes in International Development with Economics, as well as quantitative methods across a wider range of programmes, including the MSc in Public Policy
Requirements: Our ideal candidate will have a doctoral qualification or equivalent in Economics with a clear focus on Development Economics, and a single or joint undergraduate degree in Economics. You will also have some teaching experience and demonstrated capacity to publish internationally recognised work. While open to applicants with diverse interests and expertise you will need to demonstrate a willingness and capacity to thrive within a strongly interdisciplinary community, and a commitment to research and teaching that is relevant to contemporary global challenges

Department: Engineering; Computer Engineering
Duration: 72 m
Duties: The Industry 5.0 paradigm prioritizes worker well-being, leveraging new technologies to enhance industrial productivity. The interdisciplinary goal of the project is to design an industrial ecosystem with a primary focus on worker well-being, enabling the integration of operators with automation, using Digital Twins to digitize and optimize production, and intelligently orchestrate the work environment
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: Effectively teach and facilitate learning on a range of subjects/modules within the subject area on undergraduate, postgraduate, professional and post-experience programmes. Ensure that knowledge from research and scholarly activities informs and enhances learning and teaching, as well as extending it to appropriate external activities such as knowledge transfer activities. Ensure that module/programme design and delivery comply with the quality standards and regulations of the University
Requirements: PhD or equivalence accepted in a relevant subject area, for example by publication or through appropriate professional achievement or willingness to work towards within an agreed timeframe

Workload: 50%
Duties: Inform students and PhD candidates about language courses offering, schedules and registration process; Keep the course management system up to date; Handle registrations to courses and execute related administrative tasks; Update and monitor dedicated pages on the Moodle platform; Support the internal and external staff (adjunct teachers) during the full courses life cycle; Organize and supervise online language placement tests; Follow up on purchase orders, invoices, expense declarations and other similar financial tasks; Support internal and external communication, including keeping the webpages up to date; Support the organization of events and meetings
Requirements: University degree preferably in the field of humanities and/or social sciences; Good command of French, English and German; Ability to handle organizational tasks effectively, with willingness to learn and grow; Proficiency in essential MS Office tools, with a willingness to expand expertise; Collaborative skills with an openness to diverse perspectives and environments

Workload: 100%
Duties: Design and deliver strategies and solutions to improve processes, systems, and organizational set-up of HR functions to meet business objectives; Produce and propose solutions to improve the organization of various HR teams; Support HR organizations in improving the efficiency and quality of their shared services, the strategic partnership of their HRBPs and the innovation of the CoEs; Drive the streamlining and simplification of HR processes (including hire-to-retire and all talent related processes); Support clients in reviewing their HR technology landscape and providing insights on market leading solutions across the HR value chain; Collaborate and steer cross-functional projects, working together to deliver broader value to your clients; Support building KPMG's relationship to new and existing clients; Deliver proposals for the acquisition of new engagements with national and international clients; Participate in thought leadership papers and go to market activities
Requirements: Master degree in Business Administration, Human Resources or similar; 5-6 years of professional experience in a HR Transformation, HR Operations or HR Generalist position and experience within a Management Consulting firm. Experience within Consulting is must; Deep understanding of HR Transformation projects, including reorganizations within the HR function, HR Process optimization, HCM implementation projects, implementation of a HR shared service center or similar; Strong capabilities in MS Office applications (Excel, PowerPoint) and knowledge of HCM systems (SAP, Workday etc.); Excellent written and verbal communication skills in English and German are necessary, French a plus; Able to deliver high-quality services under tight deadlines; very good communication and analytical skills

Workload: 40%
Duties: Erstelle und gestalte Inhalte (Text, Bild, Video) für Newsletter, Präsentationen und Social Media Marketing Aktivitäten (organisch und paid), in Deutsch und Englisch; Koordiniere die Marketingleistungen unserer Hochschulpartnern während des akademischen Semesters, inklusive Reporting und Controlling, um den Erfolg der Massnahmen sicherzustellen und weiterzuentwickeln; Unterstütze das Digital Marketing wie auch das Campus Marketing Team bei diversen Employer Branding Projekten; Entwickle Designentwürfe und Konzepte für kleinere Projekte (bspw. Give-Aways); Arbeite mit Lieferanten, Agenturen sowie anderen Fachbereichen bei KPMG zusammen
Requirements: Aktuell im Bachelor- oder Masterstudium in Multimedia Productions, Kommunikation, Marketing, Wirtschaftswissenschaften oder vergleichbar; Erste Berufserfahrung im Erstellen von multimedialen Inhalten von Vorteil; Du hast Spass am Texten in Deutsch und Englisch und ein Auge für gutes Design; Du bist Social Media affin und weisst, was guten Social-Media-Content ausmacht; Anwenderkenntnisse in Grafik- und Bildbearbeitungsprogrammen (insbesondere Adobe Photoshop)

Workload: 80-100%
Duties: Finalisiere Revisionsstellenberichte in dem du sie formatierst wie auch auf ihre Rechtschreibung prüfst; Erstelle und formatiere Word Dokumente aller Art, wie zum Beispiel Auftragsbestätigungen und Annahmeerklärungen; Erstelle Kundenrechnungen; Unterstütze das Audit Team beim Erstellen von Kundenevaluationen; Überarbeite PowerPoint Präsentationen gemäss neuestem Template und stelle sicher, dass die Inhalte konsistent sind
Requirements: Abgeschlossene kaufmännische Ausbildung EFZ (Profil E oder M); 1-4 Jahre Berufserfahrung in einer ähnlichen Position; Ausgezeichnete Deutsch- und sehr gute Englischkenntnisse (mind. B2-Niveau); IT-Affinität, gute MS Office Kenntnisse; Sehr exakte, detailorientierte und pflichtbewusste Arbeitsweise; Kommunikationsfreudige, willensstarke und ausdauernde Persönlichkeit; Belastbarkeit, Flexibilität, Engagement und Teamfähigkeit runden dein Profil ab

Duties: Defining the metrics for tracking the health of our marketplace, and build tracking to monitor this; Proactive analysis and modeling to identify opportunities to further develop the marketplace, including innovating and building cutting-edge auction mechanics/pricing; Partnering closely with R&D and Sales stakeholders to develop the strategy for growing the marketplace, including the product roadmap and Sales programs to drive growth; Conducting deep dives on marketplace impact to support high impact launches and Sales growth
Requirements: Bachelor's degree in Statistics, Econometrics, Applied Math, or related fields; Strong academic or professional experience with the latest auction theory; Strong knowledge of Python 3 and SQL; Entrepreneurial ownership and a deep desire to push the status quo; Strong and clear communication skills; Experience working with scaled marketplace and auction-driven businesses; Strong analytical/modeling experience tied to business outcomes

Duties: Lead and execute data-driven projects to drive insights and innovation in biotech research and development; Utilize cutting-edge ML/AI techniques to identify, implement, and advance state-of-the-art models, contributing to the enhancement of core platform capabilities and the acceleration of CRISPR-based drug innovation; Design and develop predictive/generative models and algorithms to support CRISPR-based drug discovery and gene editing medicine initiatives; Engage in collaboration with scientists, biologists, and curators to engineer ML features, enabling the interpretation of ML results within the context of the field; Drive the development and implementation of data strategies based on best practices, ensuring the security, accessibility, and interpretability of Scribe's proprietary data
Requirements: PhD in Computer Science, Data Science, Applied Mathematics, Statistics, Computation Biology or equivalent engineering fields; Demonstrated expertise with machine learning technologies and a proven track record of implementing deep learning architectures, either in industry or academia, for a minimum of 3 years; Proficiency in utilizing various tools and frameworks for machine learning and data science, such as PyTorch, Scikit-Learn, Tensorflow, Keras, AWS SageMaker, and others; Hands-on experience in ML/AI-based protein modeling, including familiarity with AlphaFold2, RoseTTAFold, ESM2, and similar technologies

Duties: With the continued growth of our market access, health economics and healthcare value demonstration teams we are looking to add to our team with the addition of a talented Senior Health Economist. You will have a genuine passion for understanding and communicating the value of healthcare through economic modelling and data analysis. This position will act as a Technical Lead for assigned health economics and other projects; mentor junior health economists; contribute to the growth and development of PROVE’s health economic solutions
Requirements: Post graduate qualification in Health Economics, epidemiology, statistics or medical sciences; In-depth understanding of the perspectives and evidence needs of a variety of stakeholders; Ability to demonstrate strategic insights; Experience in reviewing project deliverables

Department: Assurance
Workload: 100%
Duties: You will support the engagement manager with the planning, execution and completion of group and local audits in a variety of non-financial services industries; You will draft audit reports and recommendations; You will review content for mandatory ESG disclosures including country-specific reports and advise on areas for improvement; You will gain in-depth knowledge of a broad range of clients; You will coordinate a network of international teams on your engagements; You will join an active, diversified team in a rapidly developing sector
Requirements: You have a bachelor's or master's degree or a diploma in economics; You are in possession, or about to be, of a certified public accountant's diploma or other similar diploma (DEC, ACCA, etc.); You have recently worked 3-5 years with a public accounting firm and have extensive experience within IFRS; You have high motivation and passion for sustainability, climate change topics, and related regulations; You are fluent in English; You are innovative and you enjoy teamwork and contact with clients; You have excellent analytical and summarizing skills

Department: Advisory
Workload: 100%
Duties: A career within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage
Requirements: As a Director, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution

Workload: 80-100%
Duties: Perform IT audit, assurance and regulatory mandates for a multinational client portfolio of banking, asset management and insurance clients; Analyze risks and IT processes in a heterogeneous client environment to provide recommendations and improvement points in our clients'processes; Work in close collaboration with international and multidisciplinary account teams; Participate and contribute to the Swiss and international Financial Services KPMG network and build a personal external network in the Swiss Financial Services market; Support and further develop Financial Services audit, regulatory and assurance solutions by continuously seeking and driving improvement and innovation; Work as an independent team member and be a mentor for junior staff
Requirements: Degree level education (e.g. business informatics, business administration or likewise); At least 2-3 years of professional experience in the field of IT Audit, business processes and design/review of risk and control procedures; Experience with Financial Services and/or Corporate clients (preferably with Big4 history); Know-how with FS regulatory work would be an asset; Willingness and ability to travel domestically and abroad occasionally; Excellent social and communication skills; Independent working style and positive attitude; Fluent in both German or English is a mandatory requirement

Duties: Erstelle Steuererklärungen für nationale und internationale Unternehmen; Prüfe Steuerrechnungen und Steuerveranlagungen; Erstelle Deklarationen der Verrechnungssteuer und Stempelabgaben; Unterstütze bei der Berechnung von Steuerrückstellungen im Rahmen der Erstellung der Jahresrechnung
Requirements: Kaufmännische Grundausbildung; 1-3 Jahre Berufserfahrung in einem vergleichbaren Umfeld von Vorteil, vorzugsweise bei einer Treuhandgesellschaft; Motivierte, teamorientierte, pflichtbewusste und zuverlässige Persönlichkeit mit einem ausgeprägten Zahlenflair; Gute MS Office Kenntnisse, IT-Affinität ist ein Plus; Verantwortungsvolle und selbstständige Arbeitsweise; Ausgezeichnete Deutschkenntnisse und sehr gute Englischkenntnisse, Französisch- und Italienischkenntnisse von Vorteil

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 6+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Experienced in team management and people management; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset

Workload: 100%
Duties: Capacitate teachers, advisory teachers, officers, inspectors, principals on inclusive education practices; Support in setting up tutoring groups for learning support; Support the implementation of visual and hearing screenings; Design continuous professional development programmes on inclusive education
Requirements: Knowledge and understanding of inclusive education (degree or working experience); Training of trainers’ skills or adult education; Good command of written and spoken English; Monitoring and evaluation skills; Strong leadership; Residence in Switzerland or Germany