Duties: Providing thought leadership and Axis expertise on all model development, refinement, and implementation, including assumption changes, new functionality, and compliance with regulations, actuarial standards & guidelines, and industry best practices; Developing and maintain required functionality within our Moody’s Axis models to be used for a variety of purposes, including Valuation, Financial Reporting, Financial Planning & Analysis, SII, Cash Flow Testing, and others as needed; Providing actuarial modeling support and Axis expertise during functional design, model specification creation, model development, and implementation stages. Coordinate across key stakeholders such as model stewards within Model Development, Model Governance and users from Finance, Valuation and Pricing to ensure the functionality, validation and production meets time lines and budget
Requirements: BS/BA Math/Statistics; FSA, Society of Actuaries; Strong Career ASA will be considered; Axis Model Development experience required; 8+ years of life insurance/actuarial experience; Term and Universal Life experience strongly preferred; Annuities, Whole Life or Pension Risk Transfer (PRT) experience is a plus; Experience in multiple accounting methods (IFRS, STAT, Tax, Solvency II) preferred

Duties: This position is primarily responsible for large account pricing for National Property, including providing pricing advice/insights directly to field underwriters, underwriting leadership, and Home Office leadership. Other responsibilities include occupancy studies to enhance pricing guidance to underwriters, segmentation monitoring and enhancements, key contributor towards Property Benchmark Tool enhancements, and other profitability related analysis as needed
Requirements: Bachelor’s Degree required; Minimum of 4 years of experience performing quantitative analysis required; 7+ years of quantitative analysis experience; Strong understanding of insurance products and industry; Demonstrated ability in actuarial and quantitative analysis and statistical concepts; Management experience

Duties: The Senior Biomedical Informatician will develop and evaluate dementia phenotypes from the EHR, apply and improve genetic and clinical risk scores that predict dementia phenotypes, assess risk score performance among different ancestries, and merge and harmonize datasets from multiple sources. In this role, you will use analytical techniques from genetics, biomedical informatics, computer science and statistics. These datasets include hundreds of thousands to millions of individuals. Your analyses will be performed via local high performance clusters and cloud computing
Requirements: PhD in biomedical informatics, medical informatics, computational biology, genetics, computer science, statistics or related field; General working knowledge of neuroscience, machine learning, and statistics theories and principles; Previous research experience in electronic health records and/or human genetics; Experience with programming languages including R, SAS, Bash, SQL, Perl and/or Python; Experience running analyses on high performance computing clusters; Knowledge of Linux/Unix operating system, shell scripting, and source-code versioning systems such as GitHub

Duties: The Department of Mathematics and Statistics at North Carolina A&T State University invites applications for a 9-month, tenure-track assistant or associate professor position in Analysis. The Department encourages persons from all areas of analysis to apply but is particularly interested in applicants with research interests and expertise in one or more of the areas of real analysis, complex analysis, functional analysis, harmonic analysis, topological data analysis, or applied analysis. Potential application areas of interest include, but are not limited to, signal and image processing, graph theory, materials science, photonics, complex or computational fluids
Requirements: Applicants must have a Ph.D. in Mathematical Sciences by the anticipated date of appointment, experience and track record indicating excellent potential to conduct research and advise students, and ability to teach undergraduate and graduate courses in the Department. Preference given to those whose research expertise and interests lie in one or more of the areas of real analysis, complex analysis, functional analysis, harmonic analysis topological data analysis, or applied analysis. Potential application areas of interest include, but are not limited to, signal and image processing, graph theory, materials science, photonics, complex or computational fluids. Postdoctoral research experience or equivalent academic experience, strong applied analysis, computer programming and data visualization skills are desirable. University teaching experience is a plus

Duties: MassMutual is seeking an accomplished Actuary to join the company’s Pension Risk Transfer team. In addition to support pricing, analysis, and underwriting of possible cases, this role will assist with RFP response, product development, and contract reviews. Effective collaboration and communication is needed to also support maintaining relationships with our intermediaries and working with internal operations and corporate functions
Requirements: Bachelors degree or higher; ASA or FSA designation; Minimum 6 years of actuarial experience; Demonstrates initiative and sense of urgency; takes ownership and is results-orientated; Ability to effectively manage and deliver on multiple concurrent deliverables; Disciplined approach to strategic initiatives, business projects and day-to-day activities; Ability to analyze and comprehend complex information, as well as convey complex materials to non-technical audiences

Duties: We are seeking a Statistician to provide statistical support for clinical trials. The qualified individual will consult on clinical trial design, write statistical sections of clinical trial protocols, Statistical Analysis Plans, and other statistical documents, and review data analysis output
Requirements: A PhD in Statistics or Biostatistics, some experience preferred; Experience in the preparation of statistical documents for clinical trials, such as Statistical Analysis Plans; 3-5 years of statistical consulting experience, particularly for clinical trials; Excellent oral and written communication skills; Ability to work both independently and in a team environment; Proficiency with Microsoft Word; Excellent SAS® programming skills

Duties: Responsible for rate indication development & improvement, including trending and adjusting premiums, losses and expenses, using appropriate statistical model and actuarial techniques; Identify, interpret and validate assumptions to ensure high quality deliverables; Facilitate the risk review process and contribute to the At-bay’s risk committee meetings to support the pricing & underwriting strategy; Identify, advise and execute pricing initiatives to achieve functional strategies (often segment specific) on matters of significance; Conduct competitive & market analysis and summarize underwriting feedbacks; Create tools and automate processes to improve the teams operational efficiency
Requirements: 3-5 years P&C pricing experience in an insurance company/tech company/Insuretech/consulting company; Strong plus if you have direct Cyber, Tech E&O, Miscellaneous Professional Liability (MPL) experience; ACAS or near ACAS or other equivalent designation preferred; Hands-on experience with Excel, SQL as must and Python as strong preferred; Experience with surplus line is a plus; Experience supporting rate filings with State Department of Insurance is a plus; Reserving experience is a plus

Workload: 100%
Duties: Our P&C Actuarial Analysts develop actuarial recommendations for leadership and implement changes to satisfy the financial objectives of the #1 Auto and Homeowners insurer in the U.S. They also develop and apply statistical modeling techniques to solve business problems, conduct research, identify solutions to actuarial problems and analyze and prepare responses to various actuarial questions/issues. Our Analysts serve as valued resources to other State Farm areas, often engaging with business partners across the organization to solve multi-faceted business problems
Requirements: Experienced Actuarial Analyst with a minimum of 3 years of experience in the field; Actuarial Science, Math, Statistics, Data Science, Computer Science, Information Management or other analytics majors preferred; Experience with data and statistical analysis in Excel, SQL, SAS, R, and/or Python required; Strong communication, interpersonal, organization, leadership and critical thinking skills; Successful completion of at least three Society of Actuaries or Casualty Actuarial Society exams required. ACAS designation preferred

Workload: 100%
Duties: Using specification documents, write statistical analysis programs using SAS or other statistical software to generate or validate analysis data sets and tables, figures, listings (TFL) for statistical reports; As validator, investigates source of discrepancies in data and/or program code; reviews completed TFL for accuracy, including textual material (titles, headings, footnotes, etc.); Write and maintain accurate program documentation and generate TFL shells from existing macro or other sources; Develop analysis data set and TFL specifications; Write analysis programs in SAS or other software; Design and generate TFL shells and analysis data set specifications, using protocol, statistical analysis plan, or other study materials; Carry out intermediate to advanced statistical analysis, and assess validity of analysis assumptions; Help draft statistical sections of study reports
Requirements: Masters’ degree (or international equivalent) in statistics, biostatistics, bioinformatics or similar curriculum, PhD preferred; Typically requires 5 - 8 years’ work experience in statistical analysis of research studies; Demonstrated proficiency in functions required of a lead statistician, including interpersonal and communication skills necessary for effective interactions with study teams; Demonstrated skills in multiple statistical areas and/or therapeutic indications; Excellent interpersonal communication skills, verbal and written English; Experience in statistical aspects of study design

Duties: As a fellow you will join our faculty in the Department of Biostatistics in providing statistical support and developing innovative statistical methods for research projects at the cutting edge of biomedical research
Requirements: A Ph.D. in statistics, biostatistics, or closely related field is required. Appointment is for two years. Applicants must have a strong computational background and demonstrate excellent written and verbal communication skills

Duties: Clinical data cleaning, standardizing and harmonizing within a cloud -based work environment; Proficiency in data standards such as OMOP; Database management using SQL; Able to program in R and/or Python, and/or SAS in IDEs like RStudio, SASStudio, and Jupyter notebooks. Able to share code via GitHub and/or BitBucket, and build tutorials with AHA collaborators/clients; Conducts basic statistical analysis with oversight from the senior statistical analyst; GEE or random effects models for longitudinal or multilevel analysis, time series, and handling and imputing missing data. Develops summary reports that include interpretation of findings; Assists in preparing statistical analysis plans for ongoing scientific investigations and presentations
Requirements: Bachelors degree in Data Science, Bioinformatics, Biostatistics, or related area; One (1) - Two (2) years of professional work experience in data science and statistical analysis in the health care field which includes cleaning, standardizing, harmonizing and writing code (R, Python) to analyze clinical analytic datasets in cloud-based work environments; Proficiency with database management (SQL); Proficiency with data documentation and data dictionaries

Duties: In a pricing or reserving capacity, performs at or above the level of a Senior Actuarial Analyst; Advises, consults and collaborates as requested with Underwriting, Product Development, Claims, Marketing and Finance management on any actuarial matter, including pricing or loss reserving; Applies actuarial concepts to create and maintain analyses/models of appropriate complexity and cost; Develop end-to-end pricing of new products, including pricing research and competitive analysis, assisting with rate filings, and supporting the implementation of rates into IT systems; Provides technical leadership for complex actuarial and financial reporting projects; Performs special assignments independently within the department, or across the Company as requested
Requirements: Bachelor’s degree with a strong quantitative background such as a Major in Mathematics, Statistics, Science, Actuarial, Computing, Finance, Business Administration, or associated field is required; Six-plus years’ professional Actuarial experience in the property and casualty insurance industry; Predictive modeling experience and familiarity with modeling software such as R, Emblem etc. preferred; Associate of the Casualty Actuarial Society required; To be considered for an Actuary position, Fellowship in the Casualty Actuarial Society (FCAS) required

Duration: 2 y
Duties: As a fellow you will join our faculty in the Department of Biostatistics in providing statistical support and developing innovative statistical methods for research projects at the cutting edge of biomedical research. The department is seeking an outstanding postdoctoral fellow to engage in the development of statistical methodology and software for complex biomedical data such as longitudinal, imaging, wearable device, and genetic/genome studies with broad application in pediatric cancer and mental health
Requirements: A recent Ph.D. in statistics, biostatistics, bioinformatics, computational biology, computer science or closely related field is required. Strong background in functional data analysis, imaging data analysis, nonparametric statistics, high dimensional data modeling, statistical learning, multivariate data analysis, survival data analysis, statistical genetics, and deep learning are all considered as a plus. Applicants must have a strong computational background and demonstrate excellent written and verbal communication skills

Workload: 100%
Duties: Robust and efficient algorithms for large scale stochastic optimization problems, including approaches based on hyper heuristics; Integrated optimization machine learning frameworks for large scale problems, big data and related analytics, in particular with respect to industrial and/or value chain problems; Adaptive responses and decision-making processes under uncertainty through machine learning techniques such as reinforcement learning; Distributed Simulation in Operational Research; Multi-objective and multi-disciplinary optimisation in industrial engineering
Requirements: You hold a PhD (applied research) or MSc with thesis in one of the following domains: Computer Science with strong mathematical background, Applied Mathematics with specialisation in optimisation and probabilistic analysis, Electronics/Telecom with strong skills in mathematical modelling; Background in machine learning (both exact algorithms and metaheuristics) and combinatorial optimization; Strong coding/development skills to support the creation of prototypes or simulation-based solutions to exploit optimisation algorithms

Duties: Support the team with the deployment of standard and nonstandard AI and machine learning algorithm onto resource limited hardware; Design, build, and maintain developer environments for machine learning; Design, run, analyze, and manage simulation and provide simulation reports; Provide scouting support through literature searches, patent searches, industry/academic news searches, academic/business networking, and related activities; Keep detailed records of activities, and contribute to presentations and written reports
Requirements: Pursuing Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related AI fields; Practical experience with FPGAs, microcontrollers or related target hardware; Familiar with common machine learning tools and libraries; Demonstrated ability to plan, conduct, and manage tasks of medium scope; Strong personal computer skills including Microsoft and Linux OS; Excellent oral and written communication skills

Duties: Sie arbeiten mit an der weiteren Entwicklung der Regulierung für die deutsche, europäische und internationale Versicherungswirtschaft: Was sind gute Regeln, um komplexe Versicherungsprodukte und ihre Risiken zu bewerten? Welche Auswirkungen haben aktuelle Vorschläge; sowohl quantitativ als auch auf Anreize für das Risikomanagement?; Hierzu erarbeiten Sie mit unseren Mitgliedsunternehmen Lösungsvorschläge und gemeinsame Positionen; Diese vertreten Sie nach aussen; gegenüber nationalen aber auch europäischen oder internationalen Institutionen
Requirements: Diplom/Master in (Wirtschafts-)Mathematik oder vergleichbarer Abschluss mit quantitativem Schwerpunkt ; Kenntnisse bzgl. Finanzmathematik und Finanzregulierung von Versicherungsunternehmen, insbesondere Solvency II sind von Vorteil; Verständnis für komplexe Zusammenhänge; Sehr gute Kenntnisse in Deutsch in Englisch in Wort und Schrift; Die Stelle ist sowohl für berufserfahrene Bewerber (m/w/d) als auch für Berufseinsteiger (m/w/d) geeignet

Workload: 100%
Duties: The project goal is to develop methods for automatized selection of robust and efficient solvers for such multiphysics problems. This will involve defining solver strategies, including splitting, stabilization, preconditioning and acceleration, based on characteristics of the problem at hand. To this end, a combination of mathematical analysis and on-the-fly learning will be applied. An important project goal is to develop an open-source software
Requirements: Applicants must hold a master's degree or equivalent education in applied and computational mathematics, scientific computing or computer science. Master students can apply provided they complete their final master exam before 31 October 2022. It is a condition of employment that the master's degree has been awarded; Education at master’s level and strong expertise in scientific computing, solvers for linear and/or non-linear problems is a requirement; Excellent programming skills are a requirement; Experience with numerical methods for partial differential equations is an advantage; Experience in algorithms for parallel computing is an advantage

Duties: Assist in the preparation of Statistical Analysis Plans (including mock TFL shells) for studies under the supervision of senior statistical staff; Perform statistical analysis under the direction of senior statistical staff for simple and medium complexity studies; Conduct TFL review under the supervision of senior statistical staff; Generation of randomization schedules from provided specifications under the supervision of senior statistical staff
Requirements: Master’s degree, equivalent, or higher in Biostatistics or Mathematics or related field; Ability to program in one or more statistical software packages (SAS® preferred) used to conduct statistical analyses will be an advantage but is not mandatory; Ability to effectively communicate statistical concepts; You must be fluent in English language and either Russian or Ukrainian (both verbal and written)

Duration: 3 y
Duties: Anforderungsanalyse von DLR-Anwendungen für den Einsatz von Quantencomputern. Die Anforderungsanalyse soll ergeben, ob Quantencomputing-Technologie für einen speziellen Anwendungsbereich vielversprechend ist oder nicht. Hat Quantencomputing-Technologie für einen speziellen DLR-Anwendungsbereich Potential, soll die Anforderungsanalyse Hinweise auf die einzusetzenden Quantencomputing-Methoden geben; Forschung an geeigneten algorithmischen und Software-Methoden, um Quantencomputing in vielversprechenden DLR-Anwendungen effizient nutzen zu können. Diese erfordert die Anpassung und Weiterentwicklung bestehender Quantencomputing-Methoden für den speziellen Anwendungsbereich
Requirements: abgeschlossenes Universitätsstudium mit naturwissenschaftlichem oder ingenieurswissenschaftlichem Bezug, vorzugsweise Physik, Mathematik oder Informatik; Kenntnisse im Bereich Quantencomputing-Anwendungen; Kenntnisse in theoretischen und praktischen Methoden des Quantencomputing; Programmierkenntnisse; gute Kenntnisse von Softwaretools (Word, Excel, PowerPoint, Latex); einschlägige Erfahrung im analytischen und konzeptionellen Arbeiten

Duties: Collaborating with the X project team to apply novel approaches (RL, transformers, VAE, other state of the art methods in ML) to build an MVP; Rapidly develop prototypes to evaluate feasibility of various approaches; dispassionately assess performance and help team scope next steps; Apply, modify, and develop new algorithms and software tools as the project demands; Organize and process large volumes of data; Work cross-functionally with experts at X, from Alphabet, and academia; Report out to team on findings; Engaging with the Internship community during the program (learning Moonshot thinking, attending colloquium and tech talks) & having fun!
Requirements: Currently enrolled or already completed in a PhD program in Computer Science with a strong interest in NLP, reinforcement learning, symbolic systems, and abstraction and reasoning; A fast learner with strong coding skills in Java/Python or equivalent; Passionate about development and the future of software engineering; Ability to work in a small team/rapid prototyping environment and deal with uncertainty and fluidity

Duties: We are looking for a Postdoctoral Researcher in Computational Statistics to join our Statistics and Biodemography research group. Our group specialises in developing statistical and mathematical theory, and scalable computational methods, crossing boundaries between evolutionary ecology, social data science, and genomics. This post will be connected to a BBSRC-funded research project developing methodology for deep phenotyping based on latent stochastic processes, with applications in human health, genomics, and ageing. Our goal is to provide statistical tools that can keep up with the explosive growth in the availability of high-dimensional genomic and longitudinal data from electronic health records, cohort studies, and biobanks to improve risk prediction, the allocation of health resources, and our fundamental understanding of ageing
Requirements: The candidate will hold, or be close to completion of, a relevant PhD/DPhil and have a demonstrated high-quality publication record. There is some flexibility to shape the role around the expertise and interests of the person hired. Experience with stochastic modelling, deep learning, software engineering, high-dimensional time series, statistical genetics, or event-time analysis would be helpful, but not essential. Ability to solve problems in a collaborative environment is essential

Workload: 100%
Duties: Develop in-depth knowledge of our Rating Agency models and scorecard; Contribute to quantitative projects to develop and maintain credit rating models and scorecards (especially for structured finance); Support efforts to improve the quality of, and governance around, existing and new models; Work with managers to create documentation around credit rating models; Participate in professional training for the analytical staff; Build and maintain relationships with analytical staff and management; Act as a key point of contact to provide guidance to rating teams to ensure consistency with rating models and scorecards when appropriate; Research mathematical and Technical techniques to evaluate performance of credit rating models and scorecards
Requirements: Strong academic background, MSc or PhD in relevant areas like Mathematics, Computer Science, Physics, Financial Engineering, Mathematical Finance, Engineering; Understanding of model development including model design and implementation; Demonstrable development skills in C#. Experience in other .NET languages, C++, VBA, or Matlab is a plus; Advanced Excel knowledge; Experience in financial modeling; experience in credit risk, credit derivatives or structured finance a strong plus; Understanding of fixed income; understating of structured finance is a plus; Strong quantitative aptitude

Duties: Als Aktuar Pricing bist du zuständig für das Market Pricing; dabei setzt du neueste Technologien (wie z.B. „Machine Learning“) ein und berücksichtigst bei der Prämien-Kalkulation das Kundenverhalten für die Sparten Sach, Haftpflicht, Unfall und Rechtsschutz; Auf der Grundlage eines automatisierten Monitorings steuerst Du täglich die Profitabilität der Preise und entwickelst die Pricingverfahren laufend weiter; Aufmerksam beobachtest du stetig den Markt sowie das Verhalten unserer Mitbewerber in der Sachversicherung; Deine Kalkulations- und Analyse- Ergebnisse rund um Market Pricing, kommunizierst du adressatengerecht und berätst kompetent das Management; Du arbeitest eng mit Sales an innovativen Kampagnen und behältst dabei Volumen sowie Profitabilität gleichermassen im Blick; Darüber hinaus tauschst du dich intensiv mit weiteren Stakeholdern aus, u.a. technisches Pricing und Produktmanagement
Requirements: Du bringst ein abgeschlossenes Hochschulstudium der Mathematik oder eine vergleichbare Studienrichtung - optimalerweise mit dem Schwerpunkt Statistik und Wahrscheinlichkeitsrechnung - mit; Du hast bereits Berufserfahrung als Pricing-Aktuar in den Sparten der Sachversicherung und kannst idealerweise auch eine bereits abgeschlossene Ausbildung zum Aktuar DAV vorweisen; Ausserdem verfügst du über Programmierkenntnisse u.a. in Python mit und konntest bereits Erfahrungen mit Pricing Tools sammeln, u.a. Emblem, Radar, Radar Live; Darüber hinaus besitzt du ein ausgeprägtes Interesse und Kenntnisse an aktuellen Themen, wie Big Data und Machine Learning

Duration: 1 y       
Workload: 100%
Duties: The School of Mathematics at the University of East Anglia (UEA) wishes to appoint a Senior Research Associate (SRA), whose role will be to work within the UKRI-EPSRC-funded research programme of Professor Shaun Stevens on the local theta correspondence. The SRA will prepare and present research findings to peers, at conferences, to funders and by publication in high-quality journals. The SRA may also take on a small amount of teaching
Requirements: The Research Associate will be educated to PhD level (or equivalent) in mathematics, with strong experience in the local Langlands and/or theta correspondence for p-adic groups. As well as possessing a strong subject background, the appointee will have proven self-motivated research experience, with an ability to work independently as well as under guidance. The ability to plan one’s own research is essential, as are strong written and verbal communication skills. You must also be able to fulfil all essential elements of the person specification

Duties: Optimization of collateral and inventory under various constraints arising from regulatory, contractual, capital, etc. requirements on one hand and expected duration, internal opportunities, etc. on the other; Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books; Devise solutions for systematic book management, improving the overall stability of our collateral and its respective uses; Deliver quantitative analytics to the desks that drive decision making; Maintain adequate control functionality
Requirements: Advanced degree (Masters, PhD, or equivalent) in Math, Sciences, Engineering or Computer Science; Significant work experience in a related field; Analytical, quantitative and problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Understanding of statistics and machine learning methodologies; Software design and development skills, particularly in Python