19 Permanent Applied Mathematics Jobs in London

professional profiles. Commitment to safeguarding team information and adhering to business sensitivity Qualifications: Master degree or PhD in Computer Science or Applied Mathematics or Physics. Mathematics level bachelor equivalent. Over 2 years of quantitative development experience or equivalent experience Extensive experience writing production code (design, code more »

Portfolio Managers with Intraday holding periods to their team Job Responsibilities: Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative … mainstream quant programming languages, such as Python and C++ Masters or PhD degree in a relevant subject such as Computer Science, Applied Mathematics, Statistics, or a related field more »

risk managers, analysts, and other stakeholders to understand business requirements and priorities. Qualifications: Master’s degree in Computer Science, Information Technology, Applied Mathematics, or a related field; advanced degree preferred. Over 10 years of experience in software development with a focus on IT projects in the commodity more »

prop trading Proficient programming skills in C++ or a similar object-oriented language is essential Masters degree or a PhD in applied mathematics, stats/financial engineering, computer science, physics Adept at solving complex problems Detail oriented Self-starter who can take ownership of projects from beginning more »

years of relevant work experience in a team-focused environment A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) Strong object-oriented design and programming skills and experience in OO languages (Java) Experience or interest in more »

experienced Systematic Portfolio Managers who employ High Frequency Strategies Job Responsibilities: Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative … mainstream quant programming languages, such as Python and C++ Masters or PhD degree in a relevant subject such as Computer Science, Applied Mathematics, Statistics, or a related field more »

Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL Qlik experience more »

improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing more »

trading. Start: ASAP Duration: 6 or 12 months Key Requirements: Post graduate degree in a technical field (ie Engineering, Statistics, Physics, Applied Mathematics etc). Proficiency in an analytical programming language such as python, R or MATLAB to be used daily for research and analysis. Strong interest more »

and further efficiencies for a key Version 1 customer. Qualifications A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) Strong object-oriented design and programming skills and experience in OO languages (Python and/or Java more »

derivatives. Design and maintain tools for back-testing complex trading strategies. Desirable Candidates: Master's degree or PhD in Computer Science, Applied Mathematics, or Physics, or equivalent level of education in Mathematics. More than 2 years of experience in quantitative development or similar field. Extensive background in more »

features or alphas. Conduct comprehensive statistical analyses to ensure robustness. Key Experience Required: Masters or PhD in quantitative subjects such as Applied Mathematics, Computer Science, Statistics from a top-ranked university 4+ years experience working in a systematic environment working as a quantitative researcher with a focus more »

market, achieving a Sharpe Ratio of 1.5 or higher from inception to date. Masters or PhD in quantitative subjects such as Applied Mathematics, Computer Science, Statistics from a top-ranked university Strong experience in either C++ or Python programming languages. Market leading compensation and benefits on offer more »

distributed systems such as Spark Experience supporting and working with cross-functional teams in a dynamic environment. Degree/MSc in Applied Mathematics, Computer Science or equivalent Experience in the energy industry from the supply or trading side is desired but not required Skills required: Natural curiosity more »

features to continuously improve customer satisfaction. Lead Hardware IOT Product manager Responsibilities Qualifications Bachelor's or Master's degree in Computer Science, Physics, Applied Maths, Engineering, or related technical field. Proven track record of 5+ years in technical product management roles, preferably in hardware or IoT industries. Preferably more »

financial derivative module Knowledge on financial instruments such as Bonds, Interest Rate Swaps, Equity options, FX options, Swaptions, etc. Understanding of applied mathematics in derivative products valuation and strong analytical skills Organisational skills with ambition to see projects and deliverables through to completion. Ability to perform investigation more »

in London! 12 months contract Key Qualifications: • Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline. • 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting. • Programming skills in SQL more »

management, etc.) Preferred Technical Skillset Strong research and programming skills Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university Fluent in C++ or Python Demonstrate strong abstract reasoning and independent problem-solving more »

at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm. As a Applied AI/ML Senior Associate, you are an individual contributor who should be able to apply quantitative, data science and analytical skills to complex … the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques more »