Department: Rückversicherung
Workload: 80-100%
Duties: Lead the development, maintenance and improvement of pricing methodologies and tools required for Life reinsurance pricing; Development of pricing bases for target markets and product lines; Detailed pricing of proportional and non-proportional reinsurance solutions, including experience analyses, developing assumptions and modelling of cash flows; Documentation of analysed data, analysis, assumptions, and conclusions in pricing reports; Ensuring all pricing is performed in line with underwriting - and pricing guidelines; Review performance of the in-force portfolio against pricing expectations and recommend corrective actions as required
Minimum Requirements: Qualified Life Actuary (FIA/SAV or equivalent), with 5 years experience pricing Life reinsurance and developing pricing tools; Experience with multiple IT tools such as Excel and R; Good understanding of key industry issue and trends; Strong analytical skills, with hands-on Data Analytics experience being a big advantage; Fluent in English, and preferably proficient in either French or Spanish

                              

Duration: 2 y       
Workload: 29 h/week
Duties: The successful applicant will be part of a team performing rigorous probabilistic and analytic work on spatial random systems as models for chemical, physical and engineering processes
Minimum Requirements: The applicant must at a minimum hold a master’s degree in mathematics or related field with high emphasis on probability. Knowledge in statistical physics, percolation or stochastic geometry will be helpful

                              

Duration: 3 y       
Workload: 100%
Duties: Work as a PhD candidate in BAM-project MI1-19-024: Development of an ontology for the field “non-destructive testing (NDT) in civil engineering” for semantic data integration of measurement data. The aim is to formalize relevant information in NDT in civil engineering with an ontology in order to systematically prepare measurement data for later use
Minimum Requirements: – University degree (e.g. computer science, mathematics and civil engineering or comparable) – Knowledge of Semantic Web Technologies and Web APIs – Knowledge of databases (SQL, RDF stores, etc.) – Programming knowledge in Python, Java, Java Script, C, (maybe Matlab) – Knowledge of machine learning and natural language processing is helpful – Basic knowledge of signal analysis and evaluation is helpful – Basic knowledge of civil engineering is helpful – Very good language skills of spoken and written English

                              

Workload: 80-100%
Duties: Entwickeln und Operationalisieren mathematischer und statistischer Modelle zur Detektion von Versicherungsmissbrauch im Unternehmensgeschäft (UG); Analytisches Unterstützen des UG-Bereichscontrollings betreffend Nachweis der Wirksamkeit von Schadenminderungsinstrumenten; Entwickeln weiterer Möglichkeiten zur Erkennung manipulierter Forderungsbelege resp. von Versicherungsmissbrauch
Minimum Requirements: Höhere Ausbildung (FH/Uni/ETH) mit quantitativer Ausrichtung (Mathematik, Statistik, Wirtschaftsinformatik); Berufserfahrung in der Parametrierung von Syrius; sowie vertiefte Kenntnisse der Datenarchitektur; Hohe Eigeninitiative und zielgerichtete, strukturierte Arbeitstechnik; Fähigkeit Analysen und Prognosen mit dem nötigen Pragmatismus zielgruppengerecht aufzubereiten und zu vertreten

                              

Workload: 100%
Duties: Act as subject matter expert in terms of Product Risk Rating (PRR) methodologies as well as MSCI Risk Metrics and MSCI Barra One risk models; Further develop the Bank’s current PRR methodology and support product risk governance decisions; Initiate and drive risk model enhancements and re-calibration to keep up with industry developments; Act as second level support in case of questions or problems regarding rating of instruments; Define risk calculation methodology for new product types; Review model and model parameters (e.g. stress tests factors and calibration, multi-asset risk factors etc.); Check data quality for newly added instruments and assign proxies if required; Analyse results using statistical techniques and data analytics to locate issues and apply corrective measures; Ensure regular independent validation of the product risk ratings and their underlying components; Provide Bank-wide training on all PRR methodology related topics; Develop and implement databases, data ...
Minimum Requirements: Master degree in Mathematics, Quantitative Finance, Economics or Statistics; Solid background and knowledge in investment risk management and quantitative finance topics; 2+ year experience in market risk/investment risk; Profound understanding of risk topics (market/credit/liquidity risk), risk assessment of linear vs. non-linear products, or direct vs. collective instruments, risk factor models; Profound IT knowledge with emphasis on database development skills (MS Office, hands-on experience with MS Access/VBA, SQL); Data science know-how and experience with software applications such as R would be a plus; Fluency in spoken and written German and English is a must

                              

Department: Mathematics and Statistics
Duties: The Chair provides leadership to the Department on a day-to-day basis. In addition, the Chair must be able to 1) work with faculty and students from multiple disciplines; 2) attract and retain top-tier faculty; 3) maintain and enhance existing undergraduate and graduate degree programs; 4) cooperate with other departments to enhance student success; 5) advance the commitment of the Department to research in the mathematical sciences, teaching excellence, and community-based scholarship and outreach; 6) pursue external funding opportunities; and 7) support and promote diversity in the university community
Minimum Requirements: This tenured position at the Full Professor level is open to candidates who have 1) a PhD in Mathematics, Applied Mathematics, Statistics, or a related field; 2) a distinguished record of teaching and scholarly research; 3) demonstrated success in attracting external funding; 4) the leadership and interpersonal skills necessary to lead a vibrant, diverse department committed to teaching and research excellence; 5) ability to work with faculty and administrators across the university; and 6) strong commitment to promoting diversity in the work environment. Previous successful chair or significant administrative experience is preferred

                              

Department: Institute of Mathematics and Scientific Computing
Duties: The project addresses a broad spectrum in optimal control of PDEs and focusses on some of the most pressing topics: High dimensional Hamilton Jacobi Bellman equations arising in feedback control, non-smooth, and possibly non-convex optimal control and related computational techniques. The use of optimal control techniques in data science applications can be another focus point for the future collaborator’s research
Minimum Requirements: Doctoral degree in a mathematical branch of study. Solid knowledge in applied mathematics, including PDEs, with specialization in either computational or analytical techniques. Experience in the numerical treatment of high-dimensional partial differential equations is especially welcome. Alternatively, specialization in optimal control, calculus of variations, or optimization is highly appreciated

                              

Duration: 3 y
Duties: Provide statistical consulting on biological data analysis for EMBL researchers conducting cutting-edge molecular biology research; Advise and help researchers with their experimental design, data analysis and interpretation of results; Provide training (2-5 days courses) in the area of computational statistics and data science in biology; Collaborate and interact with other scientists at EMBL and partner networks (Elixir, de.NBI) in an international, interdisciplinary, and highly collaborative work environment; The consultancy engagements typically range all the way from brief high-level methodological advice to in-depth collaborations and solving novel statistical challenges emerging from new research data, methods and technologies
Minimum Requirements: A PhD or equivalent qualification in a quantitative science (statistics, mathematics, computer science, physics, bioinformatics) with solid theoretical foundations in probability and applied statistics; Programming skills in R; Strong interest in computational statistics; Motivation to teach and provide advice; Good communication skills in written and spoken English and ability to interact with other scientists in interdisciplinary teams; Basic experience in analysis of high-throughput biological data (genomics, transcriptomics, epigenetics, proteomics, etc.); An interest in cutting-edge molecular biology and its data-generating technologies

                              

Duties: As a European contribution to the Human Cell Atlas, the EU has selected a project coordinated by CeMM that will establish an initial “Organoid Cell Atlas” with comprehensive single-cell sequencing and single-cell imaging of human organoids, large-scale computational analysis, and case studies on the biomedical relevance of this community resource (including CRISPR single-cell sequencing and high-content drug screening). The advertised position provides excellent opportunities for pursuing and publishing high-impact research, while also involving important project management tasks in the context of an international consortium
Minimum Requirements: PhD in molecular biology, stem cell research, genomics, or biomedicine (wet-lab based) or in bioinformatics and computational genomics. Initial postdoctoral experience and relevant publications in organoid research and/or single-cell technologies are a plus, as is initial experience in consortium research, international collaborations, and scientific project management

                              

Duration: 5 y
Duties: You will lead a research group to pursue highly ambitious and original research goals. You will be embedded in the multidisciplinary and collaborative environment of EMBL, which provides many opportunities for interaction with other research groups. In general, EMBL appoints group leaders early in their career and provides a very supportive environment for your first independent position in order to achieve your research goals
Minimum Requirements: The successful candidate should have a concise research plan with clearly outlined highly original and ambitious research goals. A PhD degree in natural sciences is required, with an interest in the wider field of Cell Biology and Biophysics. Applicants with a degree in (bio)informatics/mathematics, engineering, chemistry, physics and a keen interest in cell biological applications of their discipline are especially encouraged to apply

                              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

                              

Department: Institute for Global Health - Lancet Countdown: Tracking Progress on Health and Climate Change
Workload: 100%
Duties: We are looking to appoint a motivated health researcher with a keen interest in the links between human wellbeing and global environmental change, to join the next phase of the Lancet Countdown: Tracking Progress on Health and Climate Change, an independent, international and multi-disciplinary research collaboration based out of the Institute for Global Health, University College London. responsible for supporting the Lancet Countdown's second working group, focussed on health adaptation, planning and resilience
Minimum Requirements: A PhD or equivalent experience in quantitative analysis and methods, related to public health, climate change, environmental sciences, or any other relevant field; Experience including: providing quantitative analytical support and expertise across the broad array of sector methodologies; managing and maintaining large databases to support the development of indicators or metrics; experience of working in a academic environment, including the development and drafting of academic research papers. Experience of working in multidisciplinary teams

                              

Department: Department of Mathematics
Duration: 3+ y       
Workload: 100%
Duties: The department has internationally recognised research groups in pure and applied analysis; fluid mechanics; mathematical physics; geometry and topology; algebra, number theory and combinatorics; mathematical modelling in biology, finance, industry and society. Applications are invited for a full-time Research Fellow position to work in the area of nonlinear partial differential equations, with emphasis on the Euler equations, problems with moving boundaries, and nonlinear wave equations
Minimum Requirements: Candidates should either have a PhD or equivalent qualification in mathematics or applied mathematics, or should be finalising their PhD or waiting for their viva date; some expertise and research experience in at least one of the following topics: equations of fluid dynamics (the key example are the compressible or incompressible Euler equations), PDEs with free boundaries, nonlinear wave equations, general relativity or nonlinear stability/instability analysis of solutions to PDEs coming from mathematical physics

                              

Department: School of Management
Duration: 1+y       
Workload: part-time
Duties: We are seeking a Research Assistant with a strong quantitative background in statistics to support UCL School of Management faculty on a variety of research projects. The Research Assistant will work with several professors on different stages of research projects, including literature reviews, study design, data collection, data cleaning, and data analysis. The type of empirical data will vary from longitudinal survey data to experimental data
Minimum Requirements: The ideal candidate will have familiarity with advanced statistical techniques, as well as experience using Stata software. Previous coursework or experience in the social sciences (e.g., economics, management, sociology, psychology, epidemiology, or statistics) is preferred; The faculty have an additional need for skills in web-based programming (e.g. website design and development, experience with wordpress plug-ins, Qualtrics HTML). We are interested in hearing from applicants who have both statistical and web programming skills, as well as candidates who have only one of these skill-sets, in which case more than one research assistant may be hired

                              

Duties: Als Einsteiger arbeiten Sie sofort in einem Projektteam mit erfahrenen Kollegen. Sie entwickeln Konzepte und Lösungen für komplexe Problemstellungen und wirken an deren Umsetzung mit. Die Bandbreite der Projekte ist gross: Vom Aufbau neuer Geschäftsfelder über Risikomanagement bis hin zu IT-Grossprojekten
Minimum Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik oder Informatik (Master oder Promotion); Gute IT-Kenntnisse und Beherrschen einer Programmiersprache; Klares analytisches Denkvermögen; Sichere Präsentations- und Kommunikationsfähigkeit; Spass an stets neuen Aufgaben und Herausforderungen

                              

Department: Clinical Epidemiology and Biostatistics
Workload: 100%
Duties: Surgical safety and effectiveness in orthopedics: Swiss-wide multicenter evaluation and prediction of core outcomes in arthroscopic rotator cuff reconstruction; Initiation and coordination of Swiss multicenter cohort; Project monitoring and communication with multiple project sites and partners; Systematic review of prognostic studies in rotator cuff repair – risk factor mapping; Development of statistical models for the prediction of key project outcomes; Education in epidemiology and quantitative methods
Minimum Requirements: Master thesis in clinical epidemiology or related fields in quantitative medicine; Data management and analysis programming skills (e.g. using R or Stata); Excellent project management and communication skills; Proficiency in the English language, proficiency in French is a plus; Medical education and/or experience in the field of orthopedics is a plus

                              

Workload: 80-100%
Duties: Anforderungsanalysen und Erarbeitung von nachhaltigen und kundenorientierten Umsetzungskonzepten; Parametrierung im Bereich der Bestandes- und Leistungsprozesse (Basis-Parametrierungen, Regelwerke, Workflows, usw.), inkl. empfängergerechter Kommunikation und Dokumentation; End-to-End-Verantwortung für die eigenen Parametrierungen von der Umsetzung über das Testing bis zur Einführung; Analysieren und Beheben von Fehlern mittels Parametrierung sowie Dokumentation von Software-Fehlern/Anforderungen an den Softwarehersteller; Beratung und Unterstützung der Fachbereiche und Mitarbeitenden im Kundenservice (2nd/3rd Level Support); Mitarbeit in strategischen SYRIUS-Projekten und Kleinvorhaben
Minimum Requirements: Technisches Studium/Fachhochschule (z.B. Informatik, Wirtschaftsinformatik, Mathematik, Physik) und/oder kaufmännische oder technische Berufslehre mit hoher Affinität für Datenmodelle und Business Analyse; Ausgesprochene Analysefähigkeit sowie konzeptionelles, vernetztes und ganzheitliches Denkvermögen; Pragmatische, zielorientierte und präzise Arbeitsweise; Eigeninitiative, Selbständigkeit und viel Selbstverantwortung; Parametrierungserfahrung, mit SYRIUS von Vorteil; Krankenversicherungswissen von Vorteil, oder grosses Interesse, sich selbständig in den Fachbereich Krankenversicherung einzuarbeiten

                              

Duration: 2+ y       
Workload: 100%
Duties: Managing and supervising the administrative work in the IMU Secretariat; Administrative support of the IMU Secretary General and other IMU bodies; Preparation of and reporting on Executive Meetings and General Assemblies
Minimum Requirements: Advanced university degree (in business administration, science, or humanities); Qualified administrative, organizational, and communicative skills; Fluency in oral and written English and German; Experience in management and supervision of projects; Preferably experience related to international project management; Desirable background in public budget law and rules for non-profit organizations; Sound skills in office software, preferably knowledge of database management

                              

Duties: Management consulting for our clients, handling strategic and operational tasks; Preparation of functional and technical concepts and implementation planning; Responsibility for subject area content within the project; Coaching of team members
Minimum Requirements: First class Master’s degree in engineering or natural sciences from a prestigious university; Minimum 2 years of project experience in the insurance industry (all business lines), either directly or via consulting work; Affinity for IT and interest for complex IT systems (e.g. insurance core systems, integration platforms); Strong communication skills in French and English, German is an asset; Excellent analytical and conceptual skills; High capacity for teamwork and social competences; Do you approach your duties with commitment and enjoyment and are you convinced that better results can be achieved with teamwork than when working alone? Are you proactive and willing to go that extra mile for your clients? Are you motivated to not only conceive solutions, but also implement them? As a flexible, target-oriented person, you will quickly take on corporate responsibility with us. Do you appreciate the spirit of a growing international company with Swiss roots and a strong corporate cult...

                              

Duties: Beratung vom Management unserer Kunden in der Bewältigung strategischer und operativer Aufgaben im Produktmanagement und Pricing bei Versicherer Erarbeitung von Produktkonzepten Erarbeitung von Pricing-Modellen und aktuarielle Tätigkeiten Führung von Projekten oder Teilprojekten Beitrag zur nationalen und internationalen Wachstumsstrategie von Synpulse im Produktmanagment
Minimum Requirements: Sehr guter Bachelor- oder Masterabschluss einer renommierten Universität oder Fachhochschule Weiterbildung im Bereich Versicherungen von Vorteil 3‒10 Jahre Berufserfahrung bei einer Versicherung oder Beratung mit Fokus Produktmanagment im Nichtleben, Leben oder Krankenversicherung Kombiniertes, gutes Verständnis von IT und Business ​Kommunikativ stark in Deutsch und Englisch Spezifische Erfahrung im Projektmanagement Strukturierte, zielorientiere Arbeitsweise Führungserfahrung

                              

Duties: Das Entwickeln, Ausbauen, Optimieren von Autorisierungsregeln und dem täglichen Monitoring - Routinen zur Betrugsbekämpfung gehören zu Ihrem spannenden Aufgabengebiet; Um Betrugstrends, Änderungen im Markt, Kundenverhalten oder in der Zusammensetzung der Portfolien frühzeitig zu erkennen und entsprechend proaktiv zu reagieren, verwenden Sie statistische Fraud-Vorhersagemodelle; Akkurat definieren und optimieren Sie basierend auf Ihren Analysen Autorisierungsregeln und überwachen aufmerksam die definierten Routinen zur Betrugsbekämpfung; Sympathisch und überzeugend stellen Sie sicher, dass die definierten Routinen nachhaltig Anwendung finden und stehen motiviert als kompetente Ansprechperson zur Verfügung; Sowohl in Deutsch als auch in Englisch interagieren Sie sympathisch mit den unterschiedlichsten Mitarbeitenden innerhalb des Unternehmens und erklären diesen logisch, präzise und einfach die Betrugsrichtlinien und Autorisierungsregeln; Als FachspezialistIn unterstützen Sie...
Minimum Requirements: Hervorrangende statistische sowie mathe­matische Kenntnisse zeichnen Sie aus und Sie sind mit den relevanten wirtschaft­lichen Faktoren bestens vertraut; Als geübte/r MS-Office- und Statistikprogramm (z.B. STATA) ExpertIn setzen Sie Ihre ausgeprägte Affinität für Datenanalysen in die Praxis um; Idealerweise bringen Sie bereits 2-3 Jahre Berufserfahrung in einer vergleichbaren Position im Finanzdienstleistungsumfeld mit, bei welcher Sie Ihr betriebs- oder volkswirtschaftliches Studium (ETH, Universität, Fachhochschule o.ä.) mit Vertiefung in Mathematik/Statistik bedeutend unterstützte

                              

Duties: Unterstützung in der Beratung unserer Kunden bei der Bewältigung strategischer oder operativer Aufgaben; Unterstützung bei der Erarbeitung von Fachkonzepten und derer Umsetzung; Übernahme inhaltlicher Verantwortung in einem Themenbereich auf dem Projekt
Minimum Requirements: Sehr guter Masterabschluss einer renommierten Universität; Affinität zur IT; Kommunikativ stark in Deutsch und Englisch; Sehr gute analytische und konzeptionelle Fähigkeiten; Hohe Teamfähigkeit und Sozialkompetenz; Erste praktische Erfahrungen in der Finanzindustrie

                              

Workload: 100%
Duties: Mit dieser Position bietet SMA für talentierte und ambitionierte MathematikerInnen bzw. NaturwissenschaftlerInnen die Möglichkeit in die professionelle Software-Entwicklung einzusteigen. Die Stelle ist ausdrücklich für EinsteigerInnen gedacht: D.h. es wird kein Informatik-Studium oder Berufserfahrung in der Software-Entwicklung vorausgesetzt, jedoch ein mathematisch-naturwissenschaftlicher Abschluss, erste Programmiererfahrung und eine hohe Motivation und Lernbereitschaft. Die Stelle bietet die Möglichkeit mindestens ein halbes Jahr im Rahmen eines Einstiegs-Programms Erfahrung in der Software-Entwicklung zu sammeln. Danach beginnt die schrittweise und begleitete Integration in die eigentliche Produktentwicklung. Ihre Aufgaben: Durch Mentor begleitete Entwicklung einer mehrmonatigen Einstiegs-Arbeit, Durch Mentor unterstütztes Selbststudium in Software-Engineering-Themen, Aktive Teilnahme am Entwicklungsprozess, Schrittweise Mitarbeit im Entwicklungs-Team, welches für die Kernpr...
Minimum Requirements: Mathematisch-naturwissenschaftlicher Hochschulabschluss; Grosses Interesse für die Software-Entwicklung; von der Spezifikation bis zur Umsetzung; Qualitätsbewusst und kreativ; Ambitioniert, ausdauernd und gute Auffassungsgabe; Teamfähig

                              

Department: School of Mathematics and Statistics
Duties: undergraduate and postgraduate teaching in statistics and data science. They will promote learning among students with a wide range of mathematical backgrounds. They will undertake supervision of postgraduate research students on both theoretical and applied topics, including students in the workplace seeking to advance their qualifications seek external research funding
Minimum Requirements: dynamic academic with a strong record of research in one or more branches of statistics and data science to provide academic leadership

                              

Department: The Bartlett School of Environment, Energy and Resources - UCL Energy Institute
Duration: 2+y       
Workload: 100%
Duties: The UCL Energy Institute (part of the BSEER School) delivers world-leading learning, research and policy support on the challenges of climate change and energy security; To build, critique and apply system dynamics energy models, andother approaches that can be used in socio-technical energy transitions(STET) modelling
Minimum Requirements: A PhD in a quantitative discipline in behavioural science, economics, business studies, engineering, or another quantitative field of the social or physical sciences