1 to 25 of 36 Applied Mathematics Jobs in London

an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have … cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is More ❯

closely with the quantitative analytics and software development teams to implement and test new methodologies and features. What We're Looking For: Undergraduate or graduate degree in quantitative discipline (Mathematics, Applied Mathematics, Statistics, Physics, Engineering) 3 years work experience in Financial services, Financial Technology or Bank with demonstrable experience in derivatives or quantitative finance Background or … experience in computer science and knowledge of Python and Java an asset Background or experience in capital markets an asset Background or experience with financial mathematics, pricing theory, etc. an asset Eager to learn new concepts and technologies to resolve complex issues Teamwork, thriving in an agile environment working collaboratively and providing daily feedback to your team About S More ❯

frameworks and regulatory requirements (GDPR, SOX). • Previous experience in insurance, financial services, or large-scale digital transformation. Qualifications • Degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related discipline (Master’s preferred). • Has worked with oneAdvanced desirable. InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities More ❯

the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience More ❯

the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience More ❯

plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience More ❯

plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯

investment teams, shaping firm-wide research direction. Contribute to the intellectual culture of the team and mentor junior researchers. Ideal Candidate Profile: PhD in Computer Science, Applied Mathematics, Statistics, Physics, Engineering, or another quantitative field (postdoctoral or publication experience advantageous). Deep expertise in machine learning (supervised, unsupervised, and reinforcement learning) and statistical modelling . Strong understanding More ❯

and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks) Requirements :- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background Expert in C++ Advanced programming skills in Python Strong Linux-based development Knowledge of machine learning and statistical techniques and More ❯

client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯

client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of More ❯

client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of More ❯

client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of More ❯

client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of More ❯

platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Actively monitor the latest developments in applied AI to identify, propose, and implement novel AI-powered solutions Proactively engage with teams across the business to promote understanding and adoption of AI tools and capabilities Key Competencies … following software development best practices Demonstrable enthusiasm for AI engineering and Machine Learning Strong academic record to include a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills with the ability to … processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Experience with our tooling stack: Linux/UNIX, Git, Jira, Slack Inclusion, Work-Life Balance and Benefits at Man Group More ❯

pipelines for large-scale test data processing. As the successful Systems Optimisation Engineer, you should have achieved a Degree in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field. Additional Information: Candidates MUST be eligible to work and live in the UK. Copies of Visa and Passport will be requested. Salary/Benefits: In addition … of Benefits including Hybrid and Flexible Working, Stock Options, 25 days holiday, and relocation assistance. Skills: . Optimisation, Algorithm, Optical Networks, Software, Hardware, Test, Computer Science, Electronic Engineering, Applied Mathematics. To Apply Direct: Please send CV to Iona Mulligan More ❯

role, requiring you onsite 3 days a week. Experience of the Systems Optimisation Engineer will include: BSc or MSc in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field Proficiency in software development for test automation, e.g. Python, C++, or C# Understanding of hardware test systems and instrumentation, e.g. oscilloscopes, BERTs, burst-mode testers Experience More ❯