26 to 50 of 388 Permanent Mathematics Jobs in London

backend team in deploying to AWS Apply signal processing techniques to reduce noise and improve algorithm performance Required Skills Degree in Computer Science, Engineering, Mathematics or equivalent experience Master’s in Data Science or other computational science 5+ years of Python programming experience with focus on data manipulation and analysis more »

approaches to understanding the data and analytics across the differing asset classes Ideal candidates will have: · Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field · 2- 5 years of experience in software development within a hedge fund, investment bank or other financial institution · Strong programming skills more »

Stay up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and more »

process automation 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) Previous more »

practical work experience, preparing you for a rewarding career in the field of data science and consulting. Your profile: BBB at A Level including Maths or L4 Data Analyst Apprenticeship at Distinction or Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such more »

cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems more »

and review reports What do you need to succeed? Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. Experience/knowledge of option pricing techniques including normal and log-normal more »

industry. Strong academic background with a 2:1 degree (or equivalent) or higher in a relevant technical field such as computer science, software engineering, mathematics, or physics. Strong mathematical, analytical, and problem-solving skills. Good communication skills for effective collaboration with software engineers, artists, animators, QA, and production staff. Self more »

data projects. Strong proficiency in Python, SQL, Scala. Experience in at least one cloud platform (preferably GCP). BSc/MSc in computer science, maths, physics or STEM subject. Basic knowledge of statistics and machine learning. Experience with Spark, Apache services, ETL tools, Data visualization and dashboards. Experience with streamed more »

the team. Experience: Cloud development and architecture experience A team player with excellent communication skills Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) Applied programming skills - Python, Rust, C++ or other major languages. Hybrid working model from their office in central London. Paying more »

Scientist, based 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 and more »

on algorithmic 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 in more »

services or 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 to more »

and reports. Support regional stakeholders with ad-hoc data analysis and data insights. You’ll Need to Have: Degree in a quantitative discipline (e.g. Mathematics, statistics, economics, data science) or marketing Proven experience in a similar role or equivalent (Data/Insight/Research) Strong analytical skills and experience of 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 5+ years more »

academic research to keep the team updated with the latest quantitative techniques and theories. Requirements: Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Evidence of exemplary accomplishments either in academia or industry A minimum of 3 years of experience in quantitative more »

trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python, C++). Exceptional analytical and problem-solving abilities, with a keen eye for detail. Direct experience in the development more »

various asset-class quant analytics libraries and working closely with the trading business and IT. Your expertise You Have • a numerate degree (computer science, mathematics, physics, engineering or similar) • good algorithmic and general programming skills • some front office experience or knowledge of financial markets (derivatives would be great) • ideally some more »

Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven experience more »

in crypto markets Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in Python and understanding of Git more »

and review reports What do you need to succeed? • Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. • Experience in Model Validation and Model life-cycle management. • Experience/knowledge more »

analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »

/Looker/etc) to uncover key insights across channels and create self-service dashboards. EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate more »

and strategies. Qualifications: Experience in systematic equities trading, preferably statistical arbitrage strategies. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. A track record of successful alpha generation with a shape>2. Strong coding skills in languages such as more »

implement new trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest more »