Duties: The Assistant Professor of Finance is a tenure-track, full-time, 10-month academic position. The position is responsible for a 12-hour per semester teaching load in finance and related areas at both the undergraduate and graduate levels. A productive program of research and scholarly publication is expected and supported by a reduction in teaching load. Active involvement in service functions is also expected
Requirements: An earned doctorate in Finance or related field from an accredited institution by August 1, 2024; Experience teaching at the University level

Duties: Raiffeisen Oberösterreich hat sich dem Anspruch höchster Kund: innenorientierung verschrieben. Unsere Mitarbeiter: innen sorgen für Nachhaltigkeit und Nähe bei der Beratung und Begleitung in allen finanziellen Angelegenheiten. Sie erstellen gemeinsam mit ihren Kund: innen passende Lösungen für alle Lebensabschnitte und -situationen
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Duties: ein Job auch für Aktuar*innen, die sich nach ersten Erfahrungen in anderen Bereichen weiterentwickeln möchten - Vorerfahrung im Bereich Produktmathematik ist willkommen, aber nicht erforderlich; eine vielfältige Tätigkeit an der Schnittstelle zwischen Versicherungsmathematik und IT; Zusammenarbeit mit erfahrenen Kolleg*innen; eine interessante Mischung aus wiederkehrenden Aufgaben, neuen Themen und Projektarbeit; ein aufgeschlossenes Team aus unterschiedlichen Persönlichkeiten, die sich gegenseitig unterstützen; die Möglichkeit, in Projekten produktmathematische Themen zu koordinieren und Verantwortung dafür zu übernehmen
Requirements: ein mindestens gut abgeschlossenes Studium (Bachelor oder Master) mit mathematischem Schwerpunkt, z.B. in Mathematik, Wirtschaftsmathematik, Versicherungsmathematik oder Physik; mindestens 3 Jahre Berufserfahrung als Aktuar*in in einer Lebensversicherung - ideal (aber nicht notwendig) wären Vorerfahrungen in der Produktentwicklung, der Bestandsverwaltung oder Migration

Duties: Bei uns startest Du in einem jungen, dynamischen Team mit spannenden versicherungsmathematischen Projekten in das Berufsleben; Vielfältige Aufgabengebiete, auch in den Bereichen Data Science und Analytics, bieten Dir Abwechslung und helfen beim Aufbau einer breitgefächerten Berufserfahrung; Wir fördern gern Deine Weiterbildung, z.B. zum Aktuar (DAV); Du knüpfst Kontakte bei namhaften Kunden, lernst verschiedenste Unternehmen und Orte in ganz Deutschland kennen; Unsere flache Hierarchie, kurze Entscheidungswege, attraktive Vertragsgestaltung und flexible Arbeitsplätze bieten Dir eine entwicklungsfähige Perspektive
Requirements: Den Hochschulabschluss in Mathematik hast Du (bald) in der Tasche; Versicherungsmathematik interessiert Dich brennend. (Lebens-)versicherungsmathematisches Wissen hast Du Dir vielleicht schon angeeignet. Auch für Analytics und IT kannst Du Dich begeistern; Programmierkenntnisse in APL, Python, R, C#, Visual Basic oder C stehen auf Deiner Haben-Seite; Teamfähigkeit und analytisches Denken zeichnen Dich besonders aus. Eine selbständige, sorgfältige und strukturierte Arbeitsweise ist für Dich selbstverständlich; Du bist kommunikationsstark, arbeitest kundenorientiert und freust Dich auf deutschlandweite Projekte

Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Workload: 100%
Duties: Conduct valuations (e.g., companies, intangible assets) and financial analyses, market research, capital market and cost of capital analyses; Develop complex, integrated financial models; Participate in engagements such as fairness opinions, pricing analysis for M&A transactions, valuations for accounting and tax planning purposes, or arbitrations; Value complex financial instruments (e.g. options, derivatives, complex debt instruments, structured products); Work together with large international corporations as well as mid-market firms, often in an international environment; Actively interact with clients and cooperate closely with other KPMG experts, like our due diligence or restructuring team or with our accounting, tax and legal experts; Assist in proposal work and marketing initiatives
Requirements: Master's degree with a major in Finance or Accounting; First professional experience in corporate finance within an international environment is a plus; Proficiency with MS Excel is a prerequisite, proficiency with Tableau, Alteryx or Python coding is a plus; Strong analytical and modelling skills, sound knowledge of financial analysis and traditional valuation methods (e.g., DCF, multiples) and attention to detail; Knowledge of security valuation methods (e.g., options, derivatives), as well as modelling techniques such as Monte-Carlo simulations or lattice models, is a plus; Entrepreneurial mindset and ability to set priorities in a complex and demanding environment; Excellent written and verbal communication skills in German and English; knowledge of any other language is a plus

Workload: 60-100%
Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Duties: Ongoing management of participating business in accordance with various scheme documents where applicable, and in compliance with applicable Participating Insurance Policy, Operating Guidelines, as well as local regulations; Regular determination of asset shares and policy illustration for inforce participating business; Lead the implementation and change management in response to the regulatory changes on participating fund management and RBC regime; Engage in the consultation process of regulatory changes on behalf of the Company
Requirements: Qualified actuary FSA, FCIA, FIA, FIAA or equivalent; At least 12 years of working experience in the life insurance sector; Relevant experience in participating fund management, product management and regulatory reporting; Technically solid with relevant experience in participating fund management, product management and regulatory reporting

Duties: Quantitative Researchers (QRs) specialize in a variety of areas, including but not limited to: using sophisticated data analysis skills to build predictive models, driving construction of a complex multi asset portfolio by utilizing large scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS
Requirements: Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related field; Proven ability to conduct innovative and impactful research focused on solving real-world problems; Strong mathematical and statistical modeling skills (e.g., time-series and cross-sectional analysis); Proficiency in coding (C++ or Python preferred); Demonstrated passion for financial markets and driven to analyze and model drivers of price formation and risk

Duties: Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible; Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants’ development environment. Rapid response and ongoing improvements to these systems are a key responsibility
Requirements: 4+ years of full software development life-cycle experience*; Demonstrable proficiency with C++; Experience designing effective APIs; Knowledge of Python or other scripting languages

Duties: Checking calculations for actuarial valuations or other actuarial consultancy advice; Checking/drafting reports to communicate results to clients; Assisting junior members of staff and allocating workflows; Supporting managers and partners
Requirements: Three years’ experience in pensions consultancy; Making good progress through the actuarial exams

Duties: Die Bandbreite der Projekte ist gross: Vom Aufbau neuer Geschäftsfelder über Risikomanagement bis hin zum Projektmanagement grosser IT-Projekte; Als Einsteiger arbeiten Sie von Beginn an in einem Projektteam mit erfahrenen Kollegen. Sie entwickeln Konzepte und Lösungen für komplexe Problemstellungen und wirken an deren Umsetzung mit; Sie erarbeiten bei unseren Kunden Lösungen für anspruchsvolle analytische Fragestellungen; meist mit betriebswirtschaftlichem, finanzmathematischem und/oder IT-Hintergrund
Requirements: Sehr gut abgeschlossenes Studium (Diplom, Master oder Promotion) in Physik, Mathematik, Informatik oder einem anderen naturwissenschaftlichen Studiengang; Klares analytisches Denkvermögen; Gute IT-Kenntnisse und Beherrschen einer Programmiersprache; Sehr gute Deutschkenntnisse (mindestens C1-Level)

Workload: 60-100%
Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Workload: 80-100%
Duties: Konzeptionelle Arbeiten zur Einbettung des Managements naturbezogener Finanzrisiken in die Bankenaufsicht und Beantwortung regulatorischer Fragestellungen; Entwicklung von Instrumenten zur Überwachung des Risikoprofils von Banken hinsichtlich natur-bezogener Finanzrisiken, beispielsweise Gestaltung und Durchführung von Datenerhebungen, Risikobeurteilungen, Benchmark-Analysen und Szenarioanalysen; Auswertung von Informationen von Banken zu naturbezogenen Finanzrisiken (beispielsweise Of-fenlegungen), sowie Durchführung von Aufsichtsgesprächen und Vor-Ort-Kontrollen bei Banken; Mitarbeit bei geschäftsbereichsübergreifenden Projektarbeiten im Bereich naturbezogener Finanz-risiken innerhalb der FINMA; Vertretung der FINMA im Austausch mit nationalen und internationalen Behörden zum Umgang mit naturbezogenen Finanzrisiken
Requirements: Hochschul- oder Fachhochschulabschluss, vorzugsweise in naturwissenschaftlicher Richtung; Berufserfahrung im Risikomanagement bei Banken, vorzugsweise im institutsweiten Risikomanagement oder Kreditrisikomanagement, mit praktischen Kenntnissen im Bereich Natur-/Umwelt- oder Klimarisiken; Erfahrungen im Projekt- und Stakeholdermanagement; Sehr gute Fähigkeiten, komplexe Zusammenhänge zu verstehen und adressatengerecht schriftlich und mündlich zu kommunizieren; Eigeninitiative, Selbstständiges Arbeiten, Organisationstalent und Teamfähigkeit; Deutsch- oder Französischkenntnisse (C2) sowie gute Kenntnisse der jeweils anderen Sprache (B2) und sehr gute Englischkenntnisse (C1)

Duties: Drive agile best practices to foster a culture of technical excellence, focus on value, and prioritization; Play a leadership role (Technical Lead) in the design, development, testing and delivery of PolySystems modeling capabilities to support domestic Individual Life, Retirement, and Long Term Care businesses, as well as international businesses reinsured to Bermuda; Help define and implement PolySystems best practices across the suite of supported models and businesses; Design and lead testing of solutions and be able to communicate those solutions to a range of audiences; Serve as the lead for conversion of actuarial models to PolySystems by providing recommendations for modeling options, validation of the converted model to ensure accuracy, building end-to-end automation, and explaining the differences to stakeholders and assisting them by providing information they need to perform user acceptance testing
Requirements: 7+ years actuarial experience is required, with at least 3 of those years focused on actuarial modeling. Fellow of the Society of Actuaries designation (FSA) is preferred; Strong quantitative modeling and analytical skills; ability to understand and explain complex quantitative concepts and end-to-end models/systems; Strong verbal and written communication skills; able to explain technical concepts to non-technical audiences

Duties: Opportunities available in: Product Development & Pricing; Valuation & Financial Reporting; Capital Management & Reinsurance; Business Planning; Asset Liability Management
Requirements: Year 2; 4 student in Actuarial Studies, or other quantitative subjects such as Statistics, Data Science, Risk Management, etc; Some progress in SOA Actuarial examination or equivalent but not required; Proficient in Microsoft Word, Excel, PowerPoint, Access, FoxPro; Programming skills and knowledge to GGY AXIS will be an advantage

Duties: Reporting to Manager, Pricing Actuarial this position is responsible to assist the team for product development process for all stage process including maintain the illustration
Requirements: 0 to 2 years pricing exposure

Duties: Support of analysis and assessment of life and health reinsurance portfolios for the purposes of risk management, experience study, planning and quotation using advanced analytic techniques; Internal and external research relating to pricing, products, underwriting, claims, and other areas related to life insurance; Understanding data and applying modern analytical techniques to the data; Implementing practical changes based on research and analytics in various areas of business; Supporting large research projects and surveys; Presentations and training measures for clients; Marketing activities, including giving presentations at conferences and writing articles; This is not only a South African role and responsibilities includes supporting business and clients in Australia, United Kingdom and Canada. It also means working with colleagues from the United States, Germany, and other countries
Requirements: We are looking for top applicants that are qualified Actuaries. Applicants with experience in applying statistical and machine learning techniques in financial services or related business to solve problems in practical and implementable ways will be preferred. Experience with researching and assessing the business relevant impact of external trends is also important

Duties: Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code; Back test and implement trading models and signals in a live trading environment; Use unconventional data sources to drive innovation; Conduct research and statistical analysis to build and refine monetization systems for trading signals
Requirements: Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field; Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP); Prior experience working in a data driven research environment

Duties: KPMG is one of the leading providers of professional services in Switzerland with a strong global network and a well-established regional presence in both Switzerland and Liechtenstein. Known for actionable insights that lead to new opportunities and better outcomes, we serve clients from a variety of industries
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Duties: As one of only eleven Universities of Excellence in Germany, we are the only university with as many as six Clusters of Excellence. Recent decades have seen us produce more winners of the Nobel Prize and Fields Medal than any other German university. The University of Bonn has a 200-year history of combining excellent research in a range of disciplines with research-led teaching
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Bonn automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The salary survey was carried out from April until the end of May 2022 for all members of the Swiss Actuarial Association (SAA). The salary survey was conducted online and was based on the salary and bonus information from 2021
Requirements: The main goal of this salary survey was to examine the salary development on the Swiss market for actuaries since 2015 and if there is a salary gender gap. The survey was coordinated by the SAA Women's Group with the support of the University of Lausanne

Duration: 6 m
Duties: As part of our Deals Analytics team, you are using a broad range of state-of-the-art tools and techniques to generate insights from large data sets and help our clients make more informed M&A decisions; Working on financial and commercial due diligence projects with private equity and corporate clients across all sectors, leveraging company, alternative and market data to derive insights on a company's competitive positioning and performance; Process, analyze, and visualize complex data sets in order to design, develop and implement business intelligence (BI) tools for our clients, allowing them to monitor business performance and identify value creation opportunities; Participate in internal and client meetings and prepare written reports, summarizing findings in a concise, articulate manner; Support various upskilling initiatives (for instance around the use of Generative AI), enhancing our broader Deals team's digital capabilities, and assist in developing tools to drive automat...
Requirements: Current or completed studies in business administration, data science/analytics, economics, statistics, or information science, with a strong interest in solving quantitative and analytical challenges; First practical experience from internships or previous positions in high performing teams, preferably in data analytics, consulting, Big 4 and/or private equity. Ideally, you have worked in a dynamic, collaborative environment under time sensitive deadlines; Initial experience in leveraging data and business intelligence software to turn data into actionable insights on company performance. Strong understanding of and interest in financial statements, M&A transactions, and financial modelling; Strong familiarity and practical experience with data extraction/transformation, analytics, and visualization approaches as well as a high degree of data fluency; Proven skills in Excel, Alteryx and PowerBI. Knowledge and experience with basic programming is preferred but not required (e.g. Py...

Workload: 60-100%
Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Workload: 60-100%
Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial