176 to 200 of 301 Numerate Degree Jobs in London

global travel opportunities Working within a well-established data science team, almost 200 consultants The opportunity to work with cutting-edge software and programs The Candidate A numerical degree with a minimum 2:1 grade or equivalent from a reputable university Over 18 months years of experience in operational research, customer analytics, BI analytics, data science Excellent experience More ❯

in C# or Python Proficiency with a modern JS front-end framework (React, Vue.js, Angular) Experience with cloud architecture (Azure, AWS, or GCP) Deep knowledge of relational databases Degree in Maths, Engineering, Computer Science, or related field Proven experience building scalable systems/applications in startups or greenfield projects within larger organizations Strong problem-solving skills and autonomy More ❯

also create define.xml files, develop and maintain macros, and perform data integrity checks, while ensuring proper documentation and compliance with SOPs. What you will need: A Bachelor’s degree in Statistics, Biostatistics or Computer Sciences + Masters or PH.D in Statistics is essential. 6 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R More ❯

with data knowledge and existing processes. What experience you need: We are looking for a candidate with a strong analytical aptitude and a proactive approach: A relevant numerical degree, achieving a 2:1 or higher. Proven experience in programming languages such as Python, SQL, and SAS, ideally applied within a credit risk environment. An innovative mindset, coupled with More ❯

program, validate and maintain mapped database Program edit checks for external data Coordinate communication and issues with Data Management regarding database specifications and data transfers Qualifications Bachelor's Degree in Statistics, Maths, Health Informatics, Data Analytics, Computer Science, or Life Sciences field SAS knowledge preferred; programming experience required with R or Python Experience with CDISC SDTM conversion would More ❯

office processes. ‘Big data’ analysis experience preferred. Methodologies: Agile. Machine Learning skills preferred. Systems: Charles River Development, S&P EDM (formerly CADIS), EAGLE Scientific, Mathematical or Computer Science degree or equivalent. Supervisory responsibilities: No Potential for growth: Regular training Continuing education courses You will be expected to understand the regulatory obligations of the firm, and abide by the More ❯

re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply. What we’re looking for: Numerical degree and strong mathematical/logical capabilities Critical and analytical approach to structuring and solving problems Effective communication to technical and non-technical audiences Exposure to coding languages such as More ❯

experience or previous experience in an analytical role Excellent problem solving skills Familiarity with SQL and Python Radar experience is optional Numerical skills and an attention to detail A numerate degree in Mathematics, Statistics or related subjects Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts More ❯

production environment Strong computer programming and system design skills Contribute to the team's research and trading tools library Experience in portfolio construction is a plus Background Advanced degree in Math, Statistics, Physics, Engineering, or Computer Science (Master's or Ph.D.) 1-3 years of experience as a quantitative researcher or trader in systematic trading Experience in systematic More ❯

Investment banks Front Office trading team Key Requirements: Strong commercial experience developing in Front Office trading environments BSc Computer Science 2:1 or above or related mathematics based degree Excellent communication and stakeholder management Passion for development and finance Full unrestricted right to work in the UK - visa sponsorship will not be provided Please apply via the link More ❯

Investment banks Front Office trading team Key Requirements: Strong commercial experience developing in Front Office trading environments BSc Computer Science 2:1 or above or related mathematics based degree Excellent communication and stakeholder management Passion for development and finance Full unrestricted right to work in the UK - visa sponsorship will not be provided Please apply via the link More ❯

essential Extensive programming experience in Python, R or C++ Team player with the ability to establish and maintain effective working relationships with colleagues Excellent academic record with a degree in Mathematics, Engineering, Computer Science, Physics or Quantitative field from a leading university Mason Blake acts as an employment agency for permanent recruitment and employment business for the supply More ❯

remote teams and effectively leveraging them in execution, while owning client presentation, project management, and expectation setting. Open to travel as needed. Education Qualification - Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a … small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility. #J-18808-Ljbffr More ❯

studies, white papers and thought leadership content Support pitches and strategic projects with data-led storytelling and bespoke analysis 🧠 Must haves:- A Mathematics, Informatics, Statistics or Computer Science degree or equivalent with several years experience and advanced health data and analytic skills. Skilled user of Tableau, SQL, ETL, Python and other data tools Confidence in undertaking a full More ❯

related projects Mentor intern and work in collaboration with other members of the team Geographical area Europe, United Kingdom City London MSc in finance, economics, maths, engineering, or other numerate degree Experience Experience in capital markets: risk department (preferably market risk), or trading Strong knowledge of derivatives products Robust understanding of market risk. Counterparty risk desirable Attention More ❯

ECL modeling , risk systems, and financial data flow. Familiarity with tools such as SAS , Python , or R . Excellent documentation, stakeholder communication, and solution design skills. Preferred Qualifications: Degree in Mathematics, Statistics , or a related quantitative field. PRINCE2 Practitioner or ICAEW ACA certification is a plus. Seniority Level: Senior/Consultant Seniority level Mid-Senior level Employment type More ❯

models using your own ideas To work closely with expert traders and developers to improve your models Requirements What we're looking for: A 1st class mathematics-based degree from a top university or a 2:1 from Oxbridge A solid understanding of the fundamentals of statistical prediction and probability theory including, for example, an in-depth knowledge More ❯

pricing quant or other relevant pricing quant Good knowledge of Credit Products e.g. Loan, Risky Bond, CDS, TRS and Bond Option, etc. Background in numerical and mathematical methods Degree in Mathematics, Physics, Engineering, Financial Mathematics or Computer Science, plus related Master's or PhD Coding knowledge in C++ is a mandatory requirement About Standard Chartered We're an More ❯

Office locations are available in London/Reading, Bristol, Cardiff, Exeter, Nottingham, Manchester, and Edinburgh. What We Will Be Looking For You To Demonstrate... Doctorate or Master’s degree in Mathematics, Engineering, Earth Science, or Physics-related fields. Proven experience in numerical subsurface flow modeling for hydrogeological and reservoir engineering applications. Experience with scripting languages such as Python More ❯

and evaluate intuitive models that directly contribute to decision-making processes, all while collaborating with a highly talented and creative team. Key Requirements for the Role: Education: A degree in Mathematics or a related field. A PhD is desirable but not essential. Experience: Proficiency in Excel and VBA (experience with other languages such as C++, Python, etc., is More ❯

data issues, to minimise customer complaints; maximise return on investment and ensure campaign outputs are compliant with all appropriate policies. About You Requirements Experience & Skills Minimum Bachelor's degree preferably qualified in a Science, Technology, Engineering & Mathematics based degree. Extensive marketing data industry experience gained within B2B financial services, business information or events organisations. Proven experience of creating More ❯

example using Pandas). Desirable but not essential: Experience using cloud platforms such as GIT, SageMaker or Data Bricks. KNOWLEDGE: What You know Academic Qualifications: Degree in numerate/statistical subject, or equivalent experience in a related field. Technical Qualifications: No formal required however qualifications around Python, R, SQL, Statistics, Data Visualisation are desirable. We've accomplished More ❯

explain complex modelling in a clear and simple manner with proven client presentation skills Knowledge of R or similar packages preferred Econometrics/Economics/Mathematics (with Econometrics) degree with 2.1 or higher Experience of selling projects to clients is a bonus Key differentiating factors of Measure.Monks: Work with diverse clients from the largest FTSE 100 companies to More ❯

of colleagues on key policy and methodology development Conduct project work and run thematic or ad-hoc market research on relevant risk topics Knowledge and Experience Master's Degree in Mathematical Finance or equivalent degree Attention to detail and strong problem-solving skills with the ability to balance trade-offs Prior experience in risk management as More ❯

key • Works well under pressure and is able to multi task • Some travel involved in this role (maximum 5% of time on annual basis) Additional Information Education: Technical degree preferred (engineering, computer science, stats or related degree) #LI-POST Inclusiveness At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers More ❯