Duties: Understand and be able to challenge business requirements; Lead software development efforts using different Agile approaches; Manage service evolutions, for both feature and corrective maintenance and organise support activities; Ensure overall quality & efficiency of service delivered, from build to run phases; Assist the Cat Systems Solution Owner in building the team in collaboration with the different Squads and Chapters
Requirements: Several years of experience as a team manager or similar responsibilities; Proven track record in team and project management as part of an international environment; Knowledge of the Reinsurance business and/or the financial services industry is a benefit; Strong IT background with good understanding of: DevOps, APIs, microservice architecture etc; Excellent level in English

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns
Requirements: Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch); Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems; Experience in using/designing open-source machine learning lifecycle management systems: TFX

Duties: Work closely with underwriters and other members of the Actuarial pricing team to price delegated authority risks for multiple lines of business; Participate in portfolio monitoring and analyses, to help assess the profitability of business that has already been written; Support and drive effiicency within the data manipulation process to help streamline the pricing workflow within the team; Assist with Treaty pricing during busy periods; Contribute to global actuarial projects as required, to drive gains across the whole SCOR global enterprise
Requirements: University degree in mathematics, economics or related field or equivalent; The ideal candidate will have gained some actuarial work experience in insurance/reinsurance or mathematical modelling

Duties: Provide pricing support to actuaries and underwriters in accordance with pricing guidelines; Ensure data is handled accurately in a timely and consistent manner; Participate in portfolio monitoring and analyses; Active team member in class of business studies; Provide input to projects and global actuarial projects as required; Support development and testing of pricing tools
Requirements: University degree in mathematics, economics or related field or equivalent; The ideal candidate will have gained some actuarial work experience in insurance/reinsurance or mathematical modelling

Duties: Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence; Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU); Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate; Leading a team from a technical perspective to develop ML best practices and influence engineering culture; Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Requirements: Masters degree or PhD in Computer Science or a related technical field; Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field; Experience with developing machine learning models at scale from inception to business impact; Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

Duties: Here you find a list of all institutions (universities and companies) with direct links to their jobs site. This is to our knowledge the most comprehensive global list you will find. Additionally, you will find many jobs that are currently not advertised at www.acad.jobs or elsewise. This is useful, if you definitely want to work in a particular country
Requirements: If you are working in an institution that wants to be listed and if you are in charge, please contact us. Please contact us if a link is broken

Duties: Analyse underwriting performance to identify areas for improvement and profitability enhancement; Help optimize reinsurance purchasing; Support pricing and underwriting teams with data-driven insights for risk selection; Help with new business initiatives
Requirements: Actuarial background is and advantage, but not a must; Strong numeric skills; Experience in insurance and underwriting; Ability to interact with stakeholders both locally in London and globally in a multicultural environment; Good team player, ability to develop network, internally and externally

Duties: Perform Portfolio roll-up using third-party catastrophe models with high accuracy and in a timely manner; Assist with processing of pre/post bind analyses and maintenance of a reliable and accurate exposure dataset; Perform the relevant checks and resolve queries to ensure the accuracy and quality of the portfolio; Working closely with the outsourcing provider in formatting exposure schedules and performing data quality reviews; Should be able to identify the movements between the portfolios and able to justify them with sensible commentaries; Conduct a thorough analysis of exposure data across multiple lines of business, regions, and products; Liaise with internal and external data teams to ensure all modelled policies are captured, that the data is up to date, and data interpretations are accurate; Assist in developing a more robust view of the models and components through analysis of catastrophe modelling data and back testing
Requirements: Experience in using RMS and/or AIR modelling software; Good communication skills and experience working with underwriters and clients; Practical work/programming experience in MS Excel, VBA, R, Python, etc; At least 2 years of experience in the London CAT modelling Industry; Experience in Lloyd’s/London market with a particular focus on Property, Fine Art, Specie, and Terrorism is an added advantage

Duties: In conjunction with SCOR’s central Operational Risk team, assist the team in analyzing, assessing and monitoring the risk control environment and processes, to meet internal (control systems, …) and external (regulatory…) requirements for the entities supported by the London P&C Risk Management team as well as other SCOR entities. Develop associated documentation, building dashboards and management information using data analytics; Assist the team’s management in partnering the business in effective design of key controls to mitigate critical risks, as well as challenge the evidencing and operational effectiveness as well as risk owners’ self-assessments, to ensure operational effectiveness of the control environment and promote risk culture in cross-functional areas.Assist relevant business areas/risk owners in the development of key risk indicators to identify and evaluate operational risks and monitor exposures against appetite
Requirements: Bachelors degree or higher in Risk Management, Business Administration. Economics, or related field, or equivalent qualifications; Previous hands-on working experience in insurance or related field (ideally within Property & Casualty commercial lines (re)insurance, particularly the London Market/Lloyd’s). Knowledge of risk management regulatory principles (including, internal control systems, standards and practices of operational risk management)

Duties: Support transaction management as part of internal processes; Assist and perform the structuring and pricing of Financial Solutions according to SCOR’s pricing methodology; Perform data analysis for transactions to understand the underlying risks; Prepare marketing materials and analysis for local underwriters and client meetings; Conduct credit analysis and solvency analysis on target clients; Follow change in regulation (Solvency 2, IFRS 17); Perform and review Solvency II benchmarks analysis and present to local underwriters
Requirements: Masters degree or equivalent in Actuary, Insurance, and/or Finance; The candidate should have some knowledge of insurance products, insurance regulation (e.g., Solvency II) and/or accounting standards (IFRS) and/or capital/risk management; The candidate should be self-motivated, self-starter, have the ability to work as part of a team, have good communication skills; The ideal candidate will have the ability to adapt to a fast-paced work environment; Proficiency and experience in data analytics tool such as Power BI and Tableau will be a plus

Duties: Collaborate with P&C SBS & Syndicate business unit management, the SBS Chief Underwriting Officer, and underwriters, as well as with the SBS related operations (pricing & modelling, technical accounting, claims, etc.), to understand their strategic goals and identify opportunities for leveraging data to steer the portfolio and drive business outcomes, with a focus on risk selection and portfolio diversification; Act as a liaison between the DAO team and senior business stakeholders and sponsors, ensuring alignment and understanding of data-related initiatives
Requirements: Bachelor's or Master's degree in Business, Data Science, or a related field

Duties: Here you will find companies/institutions offering quantitative consulting (Mathematics, Statistics, Actuarial consulting, Data Mining, Econometrics, Operations Research, Bioinformatics & more). Please contact these companies directly
Requirements: Currently, we list the following companies: acad.jobs AG, AICOS Technologies AG, Alma | Life, Health and Pension AG, Actuarial and Risk Consulting Stoll GmbH, AT Analytics AG, Basycon Unternehmensberatung GmbH, Consult AG Statistical Services, Institut für Datenanalyse und Prozessdesign (Zürcher Hochschule für Angewandte Wissenschaften), Intuitive Collaboration AG, Keller Experten AG, Kellex AG, Libera AG, Systemorph AG

Duties: As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk”, SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society
Requirements: We crawl all higher jobs at CeMM automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Be responsible for ensuring the quality and timeliness of the delivery of insurance consultancy services. (Clients comprise a wide range including life insurance, life reinsurance, general insurance, captive other projects. Clients are based in Guernsey, Jersey, Malta, Gibraltar and the UK.); Representing the firm professionally and effectively with clients and to maintain a high standard whether by phone, in writing or in person; Being responsible for the review of checked work and to provide checking of (particularly more complex or new) work of other team members in the Insurance Actuarial department; Providing input into insurance related projects and processes including product development and process improvement; Being responsible for the development and maintenance of computer models used within the Insurance Actuarial department; Assisting in the training of the team
Requirements: The successful candidate must be a Fellow of the Institute or Faculty of Actuaries (or equivalent qualification outside the UK) with ideally 2-3 years experience; The successful candidate must be proficient in computer use including effective use of Word and Excel, Powerpoint. Knowledge of PROPHET and/or a statistical programming language such as R or Python would be an advantage

Department: School of Mathematics, Statistics & Physics
Duration: 18m       
Workload: 100%
Duties: The Statistics and Data Science group in the School of Mathematics, Statistics & Physics carries out world-class research in modern statistics and data science, with strengths in applied statistics and machine learning, applied probability, computational statistics and sports statistics. We are seeking to appoint a research associate/assistant in statistics to the Engineering & Physical Sciences Research Council (EPSRC) funded project SaFEGen: A Statistical Framework for efficient Evidence Generation in diagnostics. The aim of SaFEGen is to reduce the time to market of diagnostics by developing integrated statistical methods for the design and analysis of diagnostic studies at all development stages. The project is a collaboration between the School of Mathematics, Statistics & Physics, the Biostatistics Research group in the Faculty of Medical Sciences and the NIHR HealthTech Research Centre (HRC) in Diagnostic and Technology Evaluation. The successful candidate will work...
Requirements: Research Associate: Awarded PhD in Statistics or a closely related discipline; Research Assistant: Working towards or submitted PhD in Statistics or a closely related discipline

Duties: Use Actuarial techniques to analyse a client’s portfolio(s) to provide quantitative and qualitative understanding of the loss exposure and inherent volatility; Assist both reinsurance placements and pitching for new business; Assist with the expansion the Lockton Re analytical toolkit; working with the wider team across the company to provide thought leadership on existing and new methodologies; Build and maintain relationships both internally and externally with clients and markets; Proactively support other senior actuaries and invest in the technical and professional development of analysts across the team
Requirements: FIA preferable; Excellent knowledge of actuarial techniques and methodologies, ideally relating directly to Casualty-specific reinsurance; Ability to clearly communicate methodologies, outputs and limitations internally and externally, to both technical and non-technical audiences

Duties: Responsible for developing and maintaining SMA’s managed syndicate’s Lloyd’s approved, Solvency II compliant, internal model including parameterisation, calculation and regulatory reporting of SCRs/ECA, performing first line validation and maintaining model policies and documentation. Communication and explanation of capital results to key stakeholders including underwriters, senior management and the Board; Work closely with the Pricing and Modelling, Reserving, Planning & Strategy and Retrocession teams on supporting business planning and technical provisions processes, monitoring of LCM 5 metrics and formulating outwards reinsurance strategies; Work closely with the Risk and Internal Audit teams and external validators to ensure the internal model is appropriately validated
Requirements: Qualified actuary with relevant Lloyd’s capital experience; Extensive capital modelling experience preferably within the Lloyd’s market; Detailed knowledge of capital modelling tools and platforms eg. Tyche an advantage; Detailed knowledge of economic scenario generators eg. Moody’s ESG an advantage

Duties: Support the global cat model evaluation of new vendor models/model updates; Undertake mini research projects to address areas of vendor model uncertainty and limitations and help deepen our understanding of natural perils modelled. Provide quick effective solutions to models and data issues; Support studies on the impact of climate change on SCOR's view of risk; Assist with the global natural and non-natural event response analysis and reporting; Supporting the analysis and reporting of global natural and non-natural catastrophic events, to support clients, internal analytics and reporting
Requirements: Strong educational track record, or equivalence; Excel, SQL, Tableau, PowerBI Python or other programming language skills an advantage

Duties: You will be responsible for advancing Aviva's model validation standards and mentorship, staying up-to date with industry developments. By fostering a culture of continuous improvement and innovation, you will contribute to the CoE’s success and navigate internal and external changes. With the rapid development of AI, you will collaborate with the Generative AI Risk Lead and Model Governance team to ensure Aviva’s model risk management framework keep pace with AI adoption. This involves shaping and evolving Aviva’s risks and controls framework and ensuring the Model Risk and Independent Validation Business Standard and associated guidance align with Aviva’s business aspirations
Requirements: Strong technical knowledge of Solvency II, GI capital modelling as well as wider financial models as desirable (e.g. pricing, projections, stress testing, etc); Strong communication skills, both verbal and written to enable constructive second line challenge; Inspiring and nurturing leadership skills to bring the best out of the team; Strong stakeholder management skills and experience with the ability to influence outcomes; Familiarity with Data Analytics and Artificial Intelligence models including Generative AI will be advantageous

Department: Department of Computer Science
Duration: 2 y       
Workload: 100%
Duties: The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics-focused applications. Familiarity with robotics concepts such as SLAM, sensor fusion, visual odometry and hardware integration is highly desirable. The candidate will be expected to contribute to experimental design, evaluation using benchmark datasets, and the development of reproducible and scalable solutions. A flexible and creative approach to problem-solving is essential, as projects may span a ra...
Requirements: A good first degree in Computer Science, Machine Learning, Maths and Statistics, Robotics or a related subject. A PhD (or an MSc with extensive research experience) in Computer Science, Machine Learning, Maths and Statistics or a related subject

Department: Department of Population Health
Duration: 3 y       
Workload: 100%
Duties: The post-holder will work in the recently established Mortality and Inequalities Research Group and work closely with Associate Professor José Manuel Aburto and the Population Studies Group at LSHTM. The post-holder’s primary role will be to provide support for computational research projects and data infrastructure carried out in the research group
Requirements: The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational Social Science, Demographic Science or a related field. Candidates should be able to analyse detailed and complex qualitative and/or quantitative data from a variety of sources and generate original ideas by building on existing concepts. The post-holder will aid with the design, development, and maintenance of the research group’s computing infrastructure for data and code, establishing and documenting workflows for open science, and online dashboards. The post-holder will have a postgraduate degree, ideally a doctoral degree, in demography, statistics, epidemiology or a relevant topic and proven experience of strong programming skills in R, Python, or other open-source programming language

Duties: Report to and support the Head of Cyber (based in Paris) for strategy, planning, internal projects, client’s management, renewal and new business, portfolio management & reporting; Coordinate and drive the underwriting activities related to his/her assigned portfolio and contribute to SCOR’s profitable growth in collaboration with the Cyber community (based in Paris London, US, Hong-Kong and China). The scope is worldwide, with a focus on Europe; Serve SCOR’s clients; Frequently visit and meet with clients and brokers to build relationships and establish SCOR’s position, convey SCOR’s vision and mission; Review cedants’ strategy, business plan and needs, and develop client engagement plans to provide services to cedants in coordination with Client Managers
Requirements: University or similar education; Insurance/Reinsurance qualifications for Cyber desirable; Actuarial or cybersecurity background is a plus; 5 to 10 years’ experience in cyber (re)insurance

Duties: Support GRC Financial and Actuarial Analysis Lead with the robust forward planning of L&H reserving impacts across all bases (IFRS4, IFRS17, SII, local GAAP) and metrics (earnings, capital, liquidity); Work closely with local reserving teams to proactively to identify any upcoming model, assumption, or volume change impacts, that will affect the cashflow projections or reserves; Support the landing process to ensure SCOR leadership has full appreciation of forward-looking picture across all bases and key metrics, including optionality and risks; Analyse and deliver insights and commentary on reserving & actuarial drivers of performance, providing value adding insight on movements in IFRS and SII results, experience emergence, and recommendations for management actions
Requirements: Qualified Actuary (FIA, FSA or equivalent), with 5+ years PQE; Significant experience in reserving/reporting (IFRS or Solvency II), gained in a Life & Health (re)insurance context; Experience leading projects, workstreams and/or teams, and collaborating with senior stakeholders

Duties: Assist with the implementation of actions for Data Privacy and Protection compliance; Define the internal operational standards for information management and contribute to implementing data privacy and protection standards such as data classification; Define the operational standards and rules of the organization to effectively manage information, including records retention and disposal, information sharing, and disclosures of information; Conduct data flow mapping/analysis for personal data; Coordinate the Data Protection Impact Assessment (DPIA) completion across the organization and provide support where required
Requirements: A Bachelor's degree in Information Management, Computer Science, Data Science, or a related field; A Master's degree in a relevant field is preferred; Professional certifications in information governance, information management, or data privacy are highly desirable; Equivalent experience in Information Governance or Information Management roles may be considered in lieu of formal education

Duties: Our researchers have a challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques; published in recent conferences or developed entirely in-house; as textbook methods won’t beat the competition. ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. It has long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people
Requirements: Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle; Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference; Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models