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: Providing programming support to clinical studies and R&D product development; Supporting, developing and validating software using the System Life Cycle (SLC); Establishing systems for data access, reporting and analysis; Support the development of other junior programmers in the team
Requirements: You are likely to have a BSc (or equivalent) in Mathematics, Statistics or Computing. As you will be working closely with colleagues from R&D, clinical, data management and regulatory affairs, this role will be office-based long-term, reflecting our collaborative style and ways of working

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: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Duties: Develop a strong working relationship with the other members of the Technical Pricing team, Underwriters, and teams under the Chief Actuary; Developing members of the Insurance Pricing team within Technical Pricing; Lead the development and deployment of pricing models into our pricing platforms and ensure that models comply with the Technical Pricing Framework (“TPF”) and Pricing Policy; Analyse external and internal data to build and validate technical pricing models; Be the primary support to underwriters in actuarial & technical issues, including case pricing, renewal monitoring, Expected Loss Cost calculations and business planning, challenging where appropriate; Support the business and underwriters on other actuarial related matters such as reserving and Internal Model parameterisation
Requirements: Experience in Insurance Actuarial employment, having completed a number of cycles and so have a clear understanding of what good and great practice looks like; Have a real skill and affinity for working with numbers, being in a role involving statistical analysis, or working towards an actuarial or similar qualification; Excellent communication skills (both oral and written) including capacity to manage dialogue with senior stakeholders in the business

Duties: Support the current suite of ML-based signal generation systems; Assist the ML team in adopting best practices in MLOps, cloud infrastructure and model observability; Develop and test software improvements for production-critical investment systems; Collaborate with various teams to deploy changes to production; Provide support for systems in production; Assist researchers in utilising these platforms and related code for their research
Requirements: Strong programming skills in Python (candidates with strong skills in another language who are looking to switch to Python will also be considered); Minimum of 2 years of professional software development experience; Proven ability to engineer high-quality software following best practices; Proficiency with Git and version control systems

Duties: Producing high quality regular investment performance analysis and reports; Assisting with the review and implementation of investment options; Using mathematical models to project and compare investment outcomes for different investment strategies; Using mathematical models to project maximum losses; Assisting in the delivery of other non regular reporting and investment consultancy services to clients; Representing BWCI professionally and effectively with clients and investment managers; Checking work of other team members; Providing input into investment related projects and processes including development of mathematical models
Requirements: Maths at A Level (A - B Grade) is essential, English minimum C grade at GCSE; Maths or science based degree is desirable; Good knowledge of Microsoft Office, specifically Word and Excel; If suitable progress is made the successful candidate will be supported through Institute and Faculty of Actuaries exams; Previous experience in a financial services office environment will be an advantage to applicants; Knowledge and experience of visual basic or similar would be advantagous

Duties: Contribute to the calculation and review of regulatory capital requirements according to standard formula requirements, including maintenance and validation of models in coordination with local, P&C and Group stakeholders; Participate in solvency studies with reporting to management and relevant committees; Assist the team’s management in the performance and documentation of ORSA processes, managing the related risk analyses and reporting; As a member of SCOR’s Risk Coverage team in London, support relevant risk management activities including monitoring of exposures against risk appetite and limits, risk identification, qualitative and quantitative risk assessment and related dashboards. Contribute to the development of probabilistic and deterministic scenarios in coordination with other Risk Management teams and other transverse functions
Requirements: BSc or higher in Mathematics, Actuarial Science, Economics or related field; Qualification in a globally recognized actuarial and/or equivalent risk management organization

Duties: Supporting the Director, L&H Reserving Innovation to provide technical expertise and direction to aid the optimization, simplification and transformation of SCOR's L&H reserving processes; Contribute to the IFRS17/Solvency II alignment work, ensuring proposals support local teams to deliver cashflows, AoCs, sensitivities, and analytics, as efficiently as possible; Together with L&H Pricing, support the assessment of the Pricing/Reserving feedback loop, identify gaps and opportunities. Support reserving activity to deliver on optimization and transformation of the key processes and ways of working across the two functions
Requirements: Qualified Actuary (FIA, FSA or equivalent)

Duties: Support Submission of Operational/Regulatory returns and advance automation; Analyse data and identify data quality issues against key monitoring criteria; Support the onboarding of new Programs, through due diligence and underwriting support, particularly where new data attributes exist to either extend or create new analytical dashboards; Support the renewal process through due diligence, underwriting support and data capture and analytics; Gather data requirements and model them into standardised presentation views and/or dashboards (if standardised)
Requirements: Economics, Maths, Statistics or Engineering degree, or equivalence

Duties: Assist in the production and analysis of the quarterly valuation and reporting for the UK sourced business, including calculating our valuation results on PROPHET and ensuring consistency between PROPHET results and central reporting system; Assist in preparation of reports to Management explaining quarterly results and how results compared against expected; Assist with other tasks within team as required, for example, the setting up of new treaties on PROPHET (protection and longevity); Assist with the development and maintenance of our PROPHET model
Requirements: Bachelor’s degree, or equivalence; Member of UK actuarial profession (or equivalent); if not already a member, then there is a requirement to become a member on joining the team

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: The Clinical Trials Research Unit within the Leeds Institute of Clinical Trials Research (LICTR) is an international leader in the field of clinical trials. The Unit is one of the largest in the UK and conducts national and international randomised and early phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this
Requirements: Experienced medical statistician

Duties: We are looking to appoint a Senior Researcher in Biostatistics in Statistical Machine Learning and Deep Generative Modelling to join the Oxford-Novartis Collaboration in AI Medicine team at Nuffield Department of Medicine
Requirements: It is essential that you hold a PhD/DPhil in Statistics, Statistical Machine Learning, deep generative modelling, or similar subject with post-qualification research experience and the ability to develop research projects. You will have a strong publication record in peer-reviewed journals and conferences, and the experience developing conditional diffusion model, flow matching or similar topics. You will also have experience in high-throughput data analysis, integration and interpretation (e.g. high-throughput sequencing, proteomics, array-based technologies, etc.), preferably in human diseases

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: You will develop novel probabilistic statistical machine learning methods to build causal predictive models available in the one-of-a-kind Novartis-Oxford MS (NO.MS) dataset as part of Oxford; Novartis Collaboration for AI in Medicine. The NO.MS is the largest and the most comprehensive dataset on multiple sclerosis (MS), a collection of data on over 40, 000 individuals measured longitudinally, some over a decade
Requirements: It is essential that you hold a PhD/DPhil in Statistics, Statistical Machine Biostatistics, Statistical Genetics or similar subject with post-qualification research experience and the ability to develop research projects with a strong publication record in peer-reviewed journals and conferences. You will have good understanding and potential to implement statistical techniques used in clinical studies/genomic research, and experience in high-throughput data analysis, integration and interpretation (e.g. high-throughput sequencing, proteomics, array-based technologies, etc.), preferably in human diseases

Duties: You will be responsible for testing hypotheses and analysing data from various public and confidential sources, reviewing and refining working hypotheses. You will build a modelling framework for vaccine trial simulations, and develop and adopt statistical analysis methods, simulation methods, and computer code for use in the project. You will be performing analyses, including the active management of programs on high-performance clusters. You will be tasked with collaborating in the preparation of scientific reports and journal articles and presenting papers and posters at project workshops and international conferences. You will also be responsible for actively managing collaboration with colleagues working on the projects, both within the Pathogen Dynamics group at Oxford and more broadly
Requirements: To be successful in this role, you will hold a PhD/DPhil (or close to completion) in applied mathematics, statistics, theoretical physics, quantitative biology, or another relevant and related subject along with sufficient specialist knowledge in infectious disease modelling, epidemiology, or simulation science to work within established research programs. You will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. You will be able to independently plan and manage a research project, including a research budget as well as have the ability to work on a collaborative project with multiple investigators

Duties: As a Medical Statistician you will contribute to a wide range of tasks across the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing scientific publications. You will provide statistical advice to staff working in relevant projects, and to assist others in their work where appropriate, as well as regularly contribute to scientific research articles at an international level for peer reviewed journals
Requirements: You must have a Master’s degree in medical statistics or a closely related field involving substantial training in statistics, or a good first degree with a substantial statistics component. You will have proven experience, ability, and practical success in statistics, as well as proficiency in the use of statistical programming languages. The ability to draft sections of manuscripts for publication and present statistical results at conferences is essential. A PhD (or equivalent) in a relevant scientific subject (or near completion) is desirable

Duties: Checking and analysing data received from insurance clients; Assisting in the preparation of data and calculations for standard actuarial valuations and consultancy services for our life and general insurance clients including; General insurance/captive reserving; Solvency II calculations; Actuarial aspects of IFRS 17 accounts; Calculating, checking and analysing financial reports
Requirements: Minimum A Grade A Level for Maths (or equivalent); Applications also welcome from graduates

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

Duties: To support the Head of Pricing, wider team, senior management and underwriting teams in pricing and profitability reviews. This role will also assist in developing the company’s pricing capabilities by taking part to the pricing transformation
Requirements: Nearly/newly qualified of the Institute of Actuaries (or equivalent experience); Pricing experience: building and calibrating pricing tools, individual account case pricings; General Insurance background, London market experience esp. Financial Lines preferred

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: Modelling and causal inference analysis of routinely collected health data from real world populations; Writing programs, managing and analysing large routinely healthcare datasets with duties including preparation of protocols and reports; Providing advice and support to other members of the team on related projects; Presenting at research seminars; Responsibility for your own workload to ensure deadlines are met; proactively addressing current problems, identifying solutions and implementing improved processes as required
Requirements: An experienced post-doctoral researcher/statistician/epidemiologist; PhD or other relevant research experience; A positive team player who pro-actively supports activities and is confident to progress and chase information as and when required using their own initiative

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
Requirements: Preferably 2-5 years of insurance or reinsurance experience in exposure/catastrophe modelling, actuarial or quantitative areas such as capital modelling, pricing and/or reserving; Digital Competencies: Experience in using standard business software a must. Competence in a language/tool supporting numerical programming also desired (e.g. Python, R, MAtlab); Personal Competencies: Actuary working towards full qualification or a person with an advanced degree in a closely related field where strong quantitative skills are required

Duties: Provide thought leadership within SCOR on L&H actuarial and finance topics; Provide expertise on new developments in reserving methods and regulations; covering all reserving bases (Solvency II, IFRS17, and providing support to local L&H reserving teams on local GAAP/capital as required); Develop insightful and novel approaches to complex and interesting global reserving topics; Supporting the Head of L&H GRC, ensure consistency of approach across local reserving teams; Provide actuarial support on key Finance and L&H projects as required; Day-to-day management of the global actuarial audit
Requirements: Qualified Actuary (FIA, FSA or equivalent), with significant PQE (12+ years, as a guideline); Deep knowledge of either IFRS17 or Solvency II standards, and significant experience interpreting and implementing these, gained in a Life & Health (re)insurance or consultancy context; Knowledge of local reserving or capital standards/frameworks; e.g. USGAAP or RBC/ICS in APAC; would be advantageous but not required