1 to 25 of 96 Permanent Numerate Degree Jobs in the UK

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and work alongside world class engineers, and data scientists. Act as subject matter expert for our digital advertising. What We Are Looking For Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field. Min 4 years of experience as a Data more »

the freedom to explore ideas and contribute to creating cutting-edge simulations, algorithms, and machine learning-based solutions. You will have: A recent degree in Mathematical Sciences, Computer Science, Physics or a related field. Some practical experience from internships, university projects, or similar research activities. Skills in scientific more »

of quantitative models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as more »

years postgraduate experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work more »

Contribute to a culture of innovation, striving for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python more »

team creativity. Proven ability to coach and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive more »

to join their Analytics/Data Science team. The ideal candidate must have some programming experience (e.g Python, SAS, R etc) and have a numerate degree (e.g. Mathematics, Statistics, Operational Research, Economics, Physics etc). (No sponsorship available and must be able to work 3 days per more »

regulatory guidelines. Work closely with technology teams to integrate risk models into our proprietary systems and platforms. Qualifications: Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. MExperience as a Quantitative Risk Developer or similar role in the asset management more »

Stay updated on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with more »

to 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 more »

experience in analytical roles, showcasing proficiency in generating thorough analyses and insights. Proficient in SQL and competent in visualisation tools such as Tableau. Strong numerate degree from a Russel group university. Excellent written and verbal communication skills. While beneficial, prior experience in fin-tech is not mandatory. more »

Knowledge and Experience Strong quantitative and analytical background -- bachelor’s degree in finance, mathematics, engineering, physics, applied statistics, data science, or similar numerate discipline (master’s degree preferred) Extensive experience as a quantitative analyst or in data science/analytics with significant exposure to financial more »

knowledge and experience using Python Excellent communication skills and experience working closely with stakeholders Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £55,000 base salary Discretionary bonus Private health insurance Pension contribution scheme Cycle to work scheme more »

data visualisation SKILLS AND EXPERIENCE Experience in SQL is a must Experience in Excel Experience in commercial and financial analytics is a plus Strong numerate degree HOW TO APPLY Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page. more »

pricing datasets used in the rate reviews and pricing projects. Produce reports outlining findings and communicating key results to stakeholder Requirements: Numerical based degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS more »

HTA decision-making Mentoring junior colleagues Contributing to internal training initiatives, process improvement and business development Your profile: A passion for statistics University degree in Statistics/Biostatistics or equivalent knowledge/expertise with proven industrial experience Knowledge of HTA-related statistical methods, including ITC, NMA, and complex more »

working effectively together with others across varying areas of expertise to achieve the required results. Essential Skills needed to fulfil this role: Undergraduate degree in numerical subject Strong knowledge of Microsoft Office tools Significant experience accessing and analysing data using SQL and Python Significant experience using commonly used more »

day to day oversight of the production of risk reports and analytics covering all exposures and drivers of risk and PnL Requirements: A Degree in Mathematics, Physics, Statistics, Engineering or an equivalent in other science disciplines 4-10 years experience working within a Market Risk or Investment Risk more »