and review reports What do you need to succeed? • Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. • Experience in Model Validation and Model life-cycle management. • Experience/knowledge more »
of Windows and Active DirectoryPersonal AttributesStrong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading universityStrong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and more »
data accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you more »
existing project team on Drupal administration. All other duties as assigned or directed FOUNDATION FOR SUCCESS ( Basic Qualifications ) Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field. Experience may be substituted in lieu of degree. Master's or Doctorate degree may substitute for required experience 8+ years more »
a regular basis, serving as a technical communication expert for machine learning related technologies developed at Spacetime.Qualifications:Masters or PhD degree in computer science, mathematics, statistics, or other fields related to machine learning5+ years of work experience, with at least 2 years working in the wireless communication and/or more »
based models with a focus on retail driven customer analytics Managing one other Data Scientist REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks more »
end-to-end delivery cycle YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks more »
in line with business requirements YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Proven experience in software engineering and machine learning with a focus on APIs Extensive experience in Python, SQL and a cloud more »
systems and developing a reporting suite to support the business in implementing a global, data-led strategy. Essential A relevant statistics, computer science or mathematics degree or equivalent Knowledge of InterAction or CRM database structures Advanced knowledge of Excel (pivot tables) Knowledge of SQL, R, Python or other data analytical more »
analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
Nottingham, England, United Kingdom Hybrid / WFH Options
Harnham
retail driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks more »
Leicester, England, United Kingdom Hybrid / WFH Options
Harnham
retail driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks more »
implement new trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest more »
and strategies. Qualifications: Experience in systematic equities trading, preferably statistical arbitrage strategies. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. A track record of successful alpha generation with a shape>2. Strong coding skills in languages such as more »
activity from various types of sources and create database models for these to be easily accessible. Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Statistics, Computer Science, Physics, or related quantitative field. Strong background in quantitative research. Experience with Risk. Proficiency in programming languages such as Python. Experience working more »
Oxford, Oxfordshire, South East Hybrid / WFH Options
IC Resources
Proficiency in Python for web development. • Experience with any cloud technologies (AWS/Azure/GCP). • Bachelors or higher in Computer Science, Physics, Mathematics, or related field.If you are looking for additional information or would like to have an exploratory chat, please apply now or contact Paula Kastrouni. We more »
Providing proof of concepts, proving value and creating scale up solutions more robust. Lead REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in stakeholder management with effective communication skills. Technical capability of LLMS and NLP with proven experience . BENEFITS: Cash Allowance more »
candidates with a strong track record will be given an allocation of risk to manage. Requirements: Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering. Prior experience in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm. Strong programming more »
Cambridge, England, United Kingdom Hybrid / WFH Options
Oho Group Ltd
making a difference to patients’ lives. What you would ideally have 🖥️: Degree from top UK universities in a relevant field (e.g. Computer Science, Physics, Maths, Biology, STEM) Strong technical proficiency in Python, Data Cleaning, Data Wrangling, Designing and Implementing data science pipelines Experience with SQL (preferably PostgreSQL), AWS, git, data more »
skills University degree in Computer Science, or equivalent experience “NICE TO HAVE” SKILLS AND EXPERIENCE: Experience with debugging and profiling Rendering techniques and associated mathematics Mali or other GPU architectures Game engines Mobile software and developer landscape Agile Scrum process Android or Linux internals Machine learning/AI Rust IN more »
managers and risk managers. Experience: Essential: 3+ years’ experience within the financial sector Master’s degree or above in a quantitative subject (e.g., Physics, Mathematics, Engineering, Computer Science) A passion for financial markets and a willingness to engage in and learn interest rate modelling. Strong Python hands-on programming skills more »
by investment analysts and portfolio managers to effectively support and optimize their potential for generating superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative more »
Cardiff, Grangetown Community, South Glamorgan, United Kingdom
IntaPeople
of large datasets, producing results and presenting these to business partners with the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative Methods (or equivalent experience). Good understanding of statistical methods applied to data analysis. Strong experience with R, Python, SAS, SPSS (or more »
