data-driven decision-making across the ICE exchanges organization Knowledge and Experience Strong quantitative and analytical background -- bachelor’s degree in finance, mathematics, engineering, physics, applied statistics, data science, or similar numerate discipline (master’s degree preferred) Extensive experience as a quantitative analyst or in data science/analytics with 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 writing production code more »
translate their ambitions and goals into analytical challenges. Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Advanced coding skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills with more »
on product 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 »
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 Desirable traits more »
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 option more »
a key member involved with researching and implementing the required technologies to achieve this goal. You will also have the opportunity to develop our physics system and our internal animation tooling. You will be collaborating closely with our animators, artists, quality assurance and match AI engineers. You will be an more »
in C#/C++/Python. You will ideally hold a PhD or Masters degree in a numerate subject such as Mathematics, Financial Mathematics, Physics, Engineering with 3-5 years experience as a Quantitative Developer/Analyst. Strong mathematical skills required for this role. Please apply for immediate interview more »
Computer Science or Physics. A PhD would be beneficial. Skills required: Ideally a MSc or PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports more »
Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract more »
Qualifications: A strong academic background with a minimum of an Honours degree, Masters or PhD (or equivalent) in a quantitative subject such as Mathematics, Physics, Operational Research, Economics, or Finance. Demonstrated proficiency in coding languages such as R, SQL, C++, Python, or equivalent, with experience in handling large datasets and more »
professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working more »
Development and implementation of models used for pricing and risk management Essential · Top educational background, Masters/Ph.D. in a quantitative subject (e.g. Maths, Physics, Computer Science) Location: NYC + Paris + London + Singapore + Japan + Abu Dhabi + China + Swizerland Salary: £ competitive + Bonus and great more »
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 end Exposure to or an interest in more »
Personal Attributes: Candidates must have a strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university. Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value more »
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 python more »
within the team Requirements Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »
sources. Develop quantitative models across a broad range of applications and portfolio construction. Key Requirements include: PhD in a highly quantitative field (maths, stats, physics, computer science, etc.). C++ library experience or strong skills in Python/Java/C#. Strong knowledge of probability, statistics, and machine learning. more »
portfolio managers and risk managers. Experience: Essential: 3+ years’ experience within the financial sector Master’s degree or above in a quantitative subject (e.g., Physics, Mathematics, Engineering, Computer Science) A passion for financial markets and a willingness to engage in and learn interest rate modelling. Strong Python hands-on programming more »
translate their ambitions and goals into analytical challenges. Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong coding skills with SQL, working with large and complex data sets to extract insights and identify trends Exposure to cloud-based more »
is the right place for you. What you would ideally have 🖥️: Degree from top UK universities in a relevant field (e.g. Computer Science, Maths, Physics, Engineering) 3+ years of professional experience Strong Python programming and AWS experience Experience in the full process from deploying models to production to monitoring and more »
is the right place for you. What you would ideally have: Degree from top UK universities in a relevant field (e.g. Computer Science, Maths, Physics, Engineering) 3+ years of professional experience Strong Python programming and AWS experience Experience in the full process from deploying models to production to monitoring and more »
solutions for automated trading in the cryptocurrency markets. Who are we looking for? Someone who... A PhD or Masters degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. Experience writing code to analyse large sets of data. Previous experience electronic trading specifically within Crypto/ more »
skills and understand both Front and Back End development. We are looking for candidates with a 1st or 2:1 degree in mathematics, statistics, physics, computer science or similar from a Russell Group University with around 1-2 years work experience. If you have any experience of working within Trading more »
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 research, within more »
