City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯
contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯
a clear salary progression path) Requirements for Senior Software Developer Strong commercial experience working in a senior software engineering capacity using PHP, Laravel & MySQL Degree educated in Computer Science, Maths, Physics, Engineering or closely related subject Ability to quickly pick up new technologies Strong attention-to-detail Great communication skills - this team is highly collaborative so they are looking to More ❯
delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex software projects Experience of mentoring and managing software teams Experience of leading the design More ❯
Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated More ❯
haywards heath, south east england, United Kingdom
Gerrard White
Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated More ❯
exchange options franchise through new business initiatives with global impact. Qualifications Excellent academic record with a Bachelor's, Master's, or Ph.D. in a quantitative or engineering field (e.g., mathematics, finance, physics, computer science, engineering). Strong analytical and programming skills. 1-3 years of experience in quantitative financial modeling; experience with foreign exchange derivatives preferred. Creative problem-solving skills More ❯
Hounslow, England, United Kingdom Hybrid / WFH Options
Datatech Analytics
experience in an analytical role using SQL. Data visualisation skills using Tableau/PowerBI/Excel is also essential, any consulting or modelling experience is desirable. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics, Data Science etc. You should have a strong enthusiasm for problem solving and a passion for data. You will be expected to provide analytical expertise, seek More ❯
tools Your Skills & Expertise 3-5 years experience working as a Business Analyst or equivalent role ideally for a B2B software product You have a degree in Computer Science, Mathematics, or any stem subject You have demonstrated experience working on investor reporting platforms, client portals, or performance dashboards You have strong analytical skills, preferably with demonstrable experience in financial modeling More ❯
approval lifecycle. Support day-to-day analytics needs and participate in the continuous improvement of the platform. Qualifications: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field. Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry. Strong experience in pricing More ❯
researchers.The following qualities would all prove an advantage:Intelligence - a successful candidate will probably have or be expecting a II-1 or I degree in a technical subject (eg Maths, Natural Science, Engineering, Computer Science).Good working knowledge of programming in a Windows or UNIX environment, and knowledge of C or C++.Ability to function well in a small team, requiring More ❯
computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the More ❯
design proving plans and conducting design proving testingand subsequent data analysis S kills and qualifications required from the following: Degree qualified in a technical subject such as Physics, Electronics, Mathematics, Mechanical or Aerospace Engineering. Essential Skills Design and development of control algorithms for digital control systems. Experienced user of the MATLAB/Simulink toolset and Embedded Coder for the generation More ❯
computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the More ❯
inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in anomaly More ❯
reconstruction) - Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics) BASIC QUALIFICATIONS - PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - Experience in More ❯
Participate in our escalation rotation (business hours only) as part of a global follow-the-sun support model. You'll Need to Have A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Commercial experience and proficiency in Python or C++ Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product More ❯
computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the More ❯
and traded risks. Analyze and resolve issues in existing models. Proven experience as a Quantitative Analyst with expertise in financial model development. A degree in Mathematical Finance , Science , or Mathematics from a top-tier university. In-depth knowledge of industry-standard pricing models such as Black-Scholes , Bachelier , local and stochastic volatility models, and the HJM framework . Strong programming More ❯
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: - PhD degree in Computer Science, Statistics, Mathematics, OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI More ❯
. Keywords- Site Reliability Engineer/SRE/DevOps/Software Engineering/Software Development/Engineering/Physics/Astrophysics/Python/Computer science/Cloud/Mathematics/AWS/Azure/GCP/nodeJS/SQL/noSQL/ansible/HAProxy/linux/UNIX/Amazon web services/Azure/GCP/Kubernetes More ❯
business perspective Experience building products that make use of a breadth of different on-chain data A Bachelor’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics); MBA or Master’s degree in a technical field is a plus Knowledge of financial markets, cryptocurrencies, and blockchain Fluency in English Characteristics of a successful Product Manager: Vision: Build More ❯
Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark More ❯
generate verified models that inform concept development and assessment. Experience in a related field is valued greatly! Essential: Degree level or equivalent in a Science or Engineering discipline (e.g. Maths, Physics or Engineering). Knowledge of model and simulations techniques to real-world scenarios. Experience in the development of models and tools in order to provide evidence data (MATLAB, Python More ❯
Berkshire, England, United Kingdom Hybrid / WFH Options
AWE PLC
for? We currently have roles available in the following disciplines and are interested in hearing from candidates with experience in one or more of the following: A degree in Mathematics, Computer Science, or other numerate discipline. A knowledge of complex materials processes and/or experience in applying numerical modelling codes/tools to investigate these. Experience of working in More ❯