1 to 25 of 90 Numerate Degree Jobs in London

Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on large data volumes More ❯

of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability More ❯

the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability More ❯

and train stakeholders. Identify and reach out to relevant domain experts and stakeholders to maximize impact. Experience and qualifications: PhD, Masters, or Bachelors (preferably in Mathematics or Scientific degree). 7+ years of work experience OR 4+ years in a comparable data analytics role. Experience delivering data-driven insights and recommendations through multiple projects. Advanced experience using R More ❯

workflow orchestration tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a related field What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best-in-class More ❯

and enhance the eco-system around the library, including communication with other departments and groups within the firm Promote C++ coding and design best practices Requirements Bachelor's degree in Maths, Computer Science, or other relevant discipline (higher qualification is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C+/ More ❯

Operations to ensure credit strategy aligns with customer experience, operational capabilities, and commercial goals. Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring know-how of credit risk analytics, scorecard development, and data-driven strategy design. Technically Proficient: You have strong hands-on coding More ❯

SQL and Python. Experience with KYC and AML regulatory requirements. Experience with fraud prevention tools such as CIFAS, Onfido, Experian, GBG. Certifications like CFE or CAMS are preferred. Degree in Mathematics, Statistics, Engineering, Computer Science, Finance, or related fields is advantageous. Benefits. Income Protection, Share Options, 5% cashback on in-app purchases, and WFH setup allowance. Private Medical More ❯

and applying them to current projects. Contribute to a culture of peer review, knowledge sharing, and continuous improvement. Experience and Qualifications: Education & Experience : Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field. 1-2+ years of experience in data analytics or a comparable role. Proven track record of delivering data-driven More ❯

future of iwoca's German credit strategy - helping small businesses thrive while scaling a fast-growing portfolio in a data-first environment. Requirements Strong analytical background with a degree in Mathematics, Physics, Engineering, or a similar quantitative field (or equivalent experience). 3 to 5 years' experience in credit risk and lending strategy, ideally in consumer or SME More ❯

feedback on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing More ❯

Familiarity with data analytics and machine learning processes An understanding of complex data systems, including event-sourced data models A strong numerical or technical background, ideally with a degree in maths, physics, computer science, engineering, or a related field Front-end development experience The salary We expect to pay from £100,000 - £160,000 for this role. But More ❯

compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Experience and qualifications: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze More ❯

the data/BI space - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

and their associated ways of working. • Work independently and have accountability for multiple concurrent projects while delivering accurate and appropriate findings Requirements of the Role KEY SKILLS REQUIRED • Degree in statistics, econometrics, computer science, data science, economics, or in a quantitative domain. • Experience in data analysis with a strong business mindset, working with and interpreting large datasets. • Experience More ❯

disciplines. Experience with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded More ❯

to IFRS9/IRB/Scoring/Forecasting models Prior work in model development or validation is highly desirable Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £110,000 base salary Hybrid work model Private medical care 25 days holiday HOW TO APPLY Please register your interest by More ❯

Python skills (5+ years) for tooling and integration. Deep understanding of standard pricing models in investment banking. Experience with test-driven development and CI/CD pipelines . Degree in Mathematical Finance, Mathematics, Physics, Computer Science, or related field from a top-tier university. Desirable Skills Knowledge of: Equity and Equity Derivatives instruments Risk measures: VaR, ES, P More ❯

of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related; 4 years of significant experience minimum (post graduation) in data science or related; As a plus: track record of experience in More ❯

smart contract teams to optimize vault mechanics and trading systems Improve and maintain internal research infrastructure in Python and optionally in C++ Qualifications Required Bachelor's or higher degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field Advanced proficiency in Python for data analysis, research, and prototyping Strong foundation in probability theory, statistics, and More ❯

visualisations Data Analyst Ideal Candidate: • 2-3 years' experience as a Data Analyst or Business Intelligence Analyst, ideally within financial or professional services • Bachelor's or Master's degree in Mathematics, Engineering, Data Science, Computer Science, or a related field (preferred) • Strong numerical, accounting, and financial interpretation skills • Advanced Excel skills essential; knowledge of MS Access, VBA, and More ❯

schedule exercises in someone's week), and comfortable with quantitative methods and approaches to solving problems - gained through various experiences or studies (e.g., Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience) Testing modelling focused software to ensure quality and maintainability A pragmatic mindset, with excellent communication and collaboration skills Analytical and detail-oriented, with a commitment More ❯

production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

ideal) Clear experience building and consuming RESTful APIs Comfortable operating in small, high-performing, agile squads Bonus Points For: A strong numerical or technical background, underpinned by a degree in Maths, Physics, Computer Science, Engineering This is a high-impact opportunity to shape a major revenue channel at one of Europe's leading fintech innovators - with the freedom More ❯

technical solutions. Bonus: Experience with design software, such as Figma. Understanding of DevOps practices, including containerisation and CI/CD. A strong numerical or technical background, with a degree in maths, physics, computer science, engineering, or relevant industry experience. The salary We expect to pay from £70,000 - £80,000 for this role. But, we're open-minded More ❯