1 to 25 of 56 Permanent 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 ❯

and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. Strong analytical and innovative thinking skills, with 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 ❯

defining metrics to guide the research cycle Contribute to multi-asset portfolio construction Requirements: Minimum 2 years’ experience working on quantitative trading systems Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or related discipline Proven quantitative and analytical skills with exceptional attention to detail Proficiency in Java, Kotlin, Python, or similar languages Strong knowledge of statistics and/or 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 ❯

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 ❯

LLMs, machine learning, and AI, and contributing fresh ideas to R&D discussions. What We’re Looking For: A recently completed Master’s degree in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline. A related Master’s thesis or personal project relevant to the legal space - for example, developing a machine learning model to automatically extract key More ❯

preferred). • Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication and presentation abilities, with proficiency in conveying intricate technical concepts to stakeholders without More ❯

and reconciliation processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics, Economics, Statistics, or related field 8+ years of professional experience Strong Proficiency in SQL, MS Office Suite, particularly Word, Excel, and PowerPoint Ability to work independently and collaboratively within a More ❯

for alpha potential Follow, digest, analyze and improve upon the latest academic research Desirable Candidates 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline. Programming in any of the following: Python, C++, or R. Demonstrated ability to learn and apply new methodologies to alpha 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 ❯

well-documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial More ❯

systems. Handle, normalise, and analyse large financial datasets. Conduct performance attribution, portfolio simulations, and risk analysis. Candidate Requirements Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Proven experience in quantitative research or trading within hedge funds, proprietary trading, or multi-asset funds. Strong programming proficiency in Python and Java . 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 ❯

solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working 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 ❯

cards. Excel and SQL are second nature. Analytical, commercially sharp, and clear in communication. Essentials 3+ years in valuations, credit, or finance Advanced Excel and strong SQL Degree in Maths, Stats, Finance, or similar Skilled in vintage data and financial modelling Comfortable in fast-moving settings Bonus Experience grounding assumptions statistically Exposure to Python model migration Understanding of forecast integration More ❯

scripting (SQL, Java, Python) Knowledge of ITIL (Incident, Problem, Change Management) and SDLC/agile practices Exposure to messaging systems, middleware, and Java application servers Degree in Computer Science, Mathematics, or related field preferred If you or anyone you know is interested in this position - APPLY BELOW or reach out to matthew.dobreecarey@caspianone.co.uk More ❯

with business goals. Data storytelling: Design and maintain dashboards and visualisations that translate data into actionable insights for business stakeholders. 🎓 Requirements: Bachelor’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in More ❯

with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth environments More ❯

offering the opportunity to work across multiple departments and contribute directly to business-critical processes. About You We are looking for a recent graduate with: A degree in Economics, Mathematics, Statistics or a related discipline Excellent analytical skills with strong attention to detail High IT literacy, particularly with Excel; the ability to quickly learn new systems Strong organisational skills and 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 ❯

for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results 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 ❯

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 ❯

skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices Experience working with More ❯