latest trends and technologies in machine learning and medical device design, suggesting improvements and innovative solutions. Background: Master’s or Ph.D. in Computer Science, Mathematics, or a related field. Proven experience in leading or managing machine learning and AI projects, particularly in regulated environments. Strong skills in data analysis, deep more »
signal generation, or worked directly on systematic trading strategy development. Ideally, you should hold, or be working towards Master's Degrees or PhDs in Maths, Computer Science, Electrical Engineering, Physics, or Statistics. VISA Sponsorship is available. If you have any questions, please do feel free to reach me directly on more »
Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering subject from a leading university. Excellent opportunity with a high-performing trading team rewarding package on offer with high more »
Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on experience with Bert, Bard more »
family as we continue to build integrated solutions for our clients Skills and Attributes Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Minimum 2 years of relevant Life Insurance actuarial experience for Consultant and at least 5 for Senior Consultant and more »
and programming skills. Working knowledge of Python and/or C++. Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field more »
research, and optimise trading strategies. Requirements: The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering. Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc. more »
machine learning and financial research. Present research findings to team members and contribute to strategy development. Requirements: PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a financial more »
engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree in a relevant industry; Computer Science, Maths, AI, or similar, at least 2 years industry experience working in a small engineering team where you have gained valuable experience or collaboration and communication. more »
propose enhancements driven by product data. Utilize database queries to analyze performance indicators, evaluate experiments, and more. Ideal Candidate Profile: Bachelor's degree in Mathematics, Physics/Science, or Computer Science. Demonstrated experience leveraging data as a Product Owner in fast-paced Agile environments. Bonus points for familiarity with Artificial more »
DevelopmentLibrary creatingImplementation development, which includes data interfaces, workflows and bespoke reportsImplementation Consultants must have: 2:1 or First Class Undergraduate degree in Comp Sci, Maths, Finance, or other technical disciplineBS and/or MS/PhD in Computer Science (or other STEM major with relevant experience)Strong software analysis, design more »
Experience/Formal Education) Graduated in the last 12 months The successful candidate is likely to be educated to degree level in Computer Science, Mathematics, Physics, Engineering, or similar highly quantitative discipline. Expected to or have achieved a minimum 2.1 UK bachelors degree (or equivalent) Some business knowledge from a more »
API’s.Bonus:Familiarity with DevOps practices, including containerisation and CI/CD processesExperience working with predictive models using pandas dataframes.A strong numerate background, i.e. maths, physics, computer science, engineering, or similar.The salaryWe expect to pay from 60,000 - 80,000 for this role. But, we’re open-minded, so definitely more »
diverse Data Science team, in which you will take full ownership of your work Qualifications: PhD or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US more »
structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just writing more »
nice to have):Experience with CI/CDFamiliarity with Linux platformsExperience with Fixed income analytics pricing & risk analyticsExperience with Docker/KubernetesExperience with financial mathematics and statistics. Experience in the financial industry more »
JavaScript, Angular, Typescript) SOLID development practices ADO.Net experience ASP.Net (Web API & Web Services) SQL Server/SQL A relevant degree on Computer Science or Mathematics Desirable: Experience of the financial sector (Investment banking) Experience of front office trading systems &/or middleware TDD/DDD CI/CD Agile experience more »
and sustainability regulation and compliance. An experience of data mapping and consolidating. Experience at working across multiple geographies. Ideally a degree in Sustainability, Engineering, Mathematics, Computer Science, Statistics or related discipline Key Competencies Excellent stakeholder management and communication skills Detailed, precise and quality focused Team player A self-starter who more »
modelling methodologies and processes. Come from a statistical/mathematical background and hold a Bachelor's degree or higher in a relevant field (e.g., Mathematics, Statistics, Computer Science). It would be great if you also: Previously worked in an actuarial team specifically engineering data solutions for pricing Have previously more »
Risk Team weekly and ongoing Risk meetings and discussions. EDUCATION, SKILLS &EXPERIENCE REQUIRED: Degree level education, preferably in Business/Finance/Banking/Mathematics/Statistics/Engineering or with appropriate working experience. Proven experience in a specific commodity; Gas, Power, LNG, Emissions in a risk or front office more »
modeling, systems) Strong communication skills Proactive in the promotion of new ideas Essential · Top educational background, Master/Ph.D. in a quantitative subject (e.g. Maths, Physics, Computer Science) Location: NYC + Paris + London + Singapore + Japan + Abu Dhabi + China + Swizerland Salary: Competitive + Bonus and more »
Redash or Log Level Data Access.Collaborate and help foster, coach and develop commercial analytics team members.Here's What You Need:Bachelor’s degree in Mathematics, Economics, Finance or a similar quantitative discipline combined with a minimum of 8 years of experience performing the responsibilities outlined above, or an equivalent combination more »
is looking for a graduate software engineer to develop cutting-edge, high throughput systems across a variety of python greenfield projects. Requirements · Degree: Financial Mathematics, Mathematics, Computer Science, Physics, etc. · Keen desire to become a software engineer · Experience using Python · Eager to learn more »
ranks: Assistant Professor, Associate Professor, Full Professor and Senior Professor. Areas of study include, but are not limited to: Natural Sciences: Theoretical and Applied Mathematics, Statistics and Data Sciences, Physics, Chemistry and Life Sciences. Engineering sciences: mechanics and aerospace technology, robotics, mechanical engineering, new materials, chemical and energy technology, biomedical more »
mandatory): DB experience - Nice-to-have (non-mandatory): React/Angular or similar web development framework Skills & Qualifications - Top academic background, strong degree in mathematics/physics/computer science from a leading academic institution - Outstanding implementation skills in an Object Orientated programming language (backed up by significant programming experience more »
