1 to 25 of 49 Mathematics Jobs in Slough

when necessary, and stay updated on industry developments in digital asset derivatives. Skills and Qualifications Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science. Experience: 10+ years in quantitative research, with at least 5 years in a leadership role within financial services, preferably in derivatives trading or market More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms More ❯

with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your More ❯

Pre market – checking that all required data and processes are ready. During market – sporadically monitoring behaviour and performance of strategies. Qualifications Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills Programming proficiency with at least one major programming or scripting language (Python, C++, and More ❯

or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on More ❯

predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods More ❯

and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and More ❯

Location: London, UK 4、Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model More ❯

positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and More ❯

Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling More ❯

criteria, including market research and data analysis/modelling We are looking for: 2 to 5 years' experience in a data role Degree-educated or equivalent, preferably in statistics, mathematics, or computer science Analytical skills – data, numeracy/modelling and quantitative analysis Organised and motivated with deep attention to detail SQL, basic skills are a must Proficiency in Amazon QuickSight More ❯

will lead key projects, drive innovation, and mentor junior team members. Core Responsibilities: Collaborate with trading and research teams to evaluate and enhance existing algorithms. Apply expertise in systems, mathematics, and trading to identify opportunities for improving the trading platform. Rapidly research, test, and prototype new algorithmic ideas (Python preferred). Drive the implementation of high-quality research into production More ❯

London, SW1Y 6QY 4、Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics,Marketingor related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is More ❯

thrive in fast-paced environments, balance detail with big picture thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/ More ❯

opportunities. Work closely with developers and traders to deploy models into production. Continuously optimise models for performance and robustness once live. Requirements: Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, or a related field. PhD is a plus. Extensive experience in quantitative trading, preferably within a high-frequency or intraday trading environment. Proven track record of successful More ❯

market data across many markets. Run simulations and model market for both liquid and illiquid assets. Improve and maintain supporting infrastructure in Python and C++. Qualifications : Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus but not expected or required. Required Skills : Advanced Python coding skills. Experience and advanced knowledge More ❯

understanding of ML algorithms Clear communicator across technical and non-technical teams Knowledge of data drift and model monitoring Excellent data visualisation—ideas that land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master’s in Data Science or related field What’s More ❯

modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or similar More ❯

functional and technical specifications aimed at our development team Test and validation of new developments Ensure the highest software quality is provided for our clients Requirements: MS degree in Mathematics, Engineering, Computer Science or other related fields Results-oriented, analytical approach with strong entrepreneurial problem-solving skills Experience and understanding an object-oriented programming code (C#) – the ability to read More ❯

skills Attention to detail Organisation skills Customer care skills Problem solving skills Presentation skills Administrative skills Analytical skills Logical Team working Initiative Patience Qualifications English GCSE, grade 4 (Essential) Maths GCSE, grade 4 (Essential) About the Employer PMBS HOLDING LIMITED MBSE is one of the world’s premier lighting rental resources. We are extremely proud to support Cinematographers, Gaffers and More ❯

initiatives, taking an active and independent role in having a positive impact on people, the environment and our planet. Candidate Profile BSc/MA in Science, Technology, Engineering or Mathematics (STEM) field 5-8 Years consultancy experience, with a focus in the Life Sciences transformation Expertise of the life sciences product lifecycle, with a focus on Commercialisation Experience of enterprise More ❯

monitor investment-related data effectively Conduct in-depth analysis of financial data to support investment decisions and risk management strategies You'll need Master’s degree or PhD in Mathematics, Statistics, or a related quantitative field Experience working with data on granular loan portfolios (e.g., consumer lending, SME lending, mortgage loans, trade receivables) Familiarity with asset-backed finance, structured finance More ❯