IP opportunities for new products. Ensure that the team has a clear production testing strategy Requirements Bachelor or Masters degree (or equivalent) in Chemistry ,Physics , Electrical and/or Electronics Engineering or a related engineering discipline. Knowledge of the fundamentals of electronics design both analogue and high-speed digital as more »
analysts and portfolio managers to effectively support and optimize their potential for generating superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to more »
day oversight of the production of risk reports and analytics covering all exposures and drivers of risk and PnL Requirements: A Degree in Mathematics, Physics, Statistics, Engineering or an equivalent in other science disciplines 4-10 years experience working within a Market Risk or Investment Risk role overlooking hedge fund more »
and network support and systems administration, who has ideally attained a HE qualification in Computer Science or a technical field such as Engineering or Physics, or relevant industry experience, and has good verbal and written communication skills. Required Skills and Experience of: Linux system administration preferably on Debian/Ubuntu more »
5+ years' commercial experience in Scala Good fixed income knowledge with a background working finance Excellent communication skills STEM University degree (Computer Science, Mathematics, Physics) from a top university Desirable: Exposure to or experience working with AWS Benefits: Fully remote working Compensation for own work from home set up Competitive more »
field. Minimum of 5 years in software engineering with 3+ years in Unity, C++, and 3D rendering. Experience in Kinematics, Path Planning, Camera Calibration, Physics, Computer Vision, or Graphics. A curious and problem-solving mindset. Pay & Benefits: Competitive salary ranging from £65,000 to £85,000 based on experience. Comprehensive more »
at the cutting edge of engineering sustainability? Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With strong product-market fit, this company has doubled in size over the last four years, are more »
think outside of the box - Exceptional quantitative and analytical skills with a minimum undergraduate degree(s) in a STEM subject or quantitative field, e.g. Physics, Mathematics, Engineering, Statistics, Machine Learning or Computer Science. Also acceptable an undergraduate Economics degree if combined with a quantitative post-graduate degree in Finance - Proficiency more »
remains at the forefront of data-driven decision-making. Qualifications and Skills Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Physics, or related discipline; advanced degree preferred but not necessary. Extensive experience in data analysis and programming, with proficiency in Python and ideally Q/KDB more »
Senior Data Scientist About Builder.ai We’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and global brands more »
today’s market. Techstack .Net Core, C#, Java, AWS, Docker, Terraform, Datadog, Elasticsearch, PostgreSQL Ideal experience BSc degree or higher in Computer Science, Maths, Physics or a STEM-related subject 2+ years of industry experience with strong exposure to .Net or C# Knowledge of cloud tools such as AWS, Docker 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 »
exposure to a number of different complex platforms across the business, within engineering. What you need BSc degree or higher in Computer Science, Maths, Physics or a STEM-related subject 2+ years of industry experience with strong exposure to .Net or C# Knowledge of cloud tools such as AWS, Docker more »
of your trading team to use. Requirements: A degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc. Coding proficiency in at least one language, such as C++ or Python. At least three years of experience as a Quantitative 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 »
and help build and run their MLOps! What you would ideally have 🖥️: Degree from top Russell Group universities in a related field (i.e. Maths, Physics, Computer Science, etc.) Experience using Python and SQL Experience with data engineering, data cleaning, data pipelines A passion for pushing boundaries in technology Great problem more »
ambitions and achieve fantastic results Help students from disadvantaged backgrounds in an Outstanding School Looking for a Science Graduate who Has a degree in Physics, Chemistry or Biology from a Top 20 University Passionate about mentoring students from deprived areas Can be a role model for students wanting to go more »
latest developments in quantitative finance, technology, and financial markets. Qualifications: Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in Python and/or C++. Proven experience in quantitative research and model development, preferably within an 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 »
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 »
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 »
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 »
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 »
and develop new ones. Investigate and implement new trading products and strategies. Qualifications: Master's/PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on futures. Experience in alpha generation with a proven track record more »
