ability and desire to learn new skills quickly Academic background in a relevant quantitative field, e.g. statistics, engineering, computer science, with an advanced degree (PhD/MSc) in one of these disciplines preferred For engineering, proficiency in testing, packaging and deployment in Python Education (if blank, degree and/or more »
guidance to team members, sharing best practices and staying at the forefront of machine learning advances Required qualifications, capabilities and skills Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field. Considerable experience in an applied Machine Learning or Data Science more »
guidance to team members, sharing best practices and staying at the forefront of machine learning advances Required qualifications, capabilities and skills Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field. Considerable experience in an applied Machine Learning or Data Science more »
advancements in machine learning, energy management, and demand response technologies to enhance the product's capabilities and educate stakeholders Required experience: Master's or PhD in Math, Statistics, or relevant field with a strong focus on machine learning, statistical analysis, and data manipulation Proven experience in developing, maintaining, and deploying more »
Manchester, England, United Kingdom Hybrid / WFH Options
Roku
work with large scale computing frameworks, data analysis systems and modeling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelors, Masters or PhD program in Computer Science/Statistics or a related field Ad-tech background is a plus #LI-PA1 Benefits Roku is committed to offering a more »
approach to measure and manage the risk of portfolio instruments Optimise the efficiency of research and trading using scientific methods The Candidate MSc/PhD in a quantitative discipline, such as mathematics, statistics, physics, electrical engineering, computer science, or operations research; from a top tier university Experience using mathematical tools more »
Conduct macro analysis and build predictive models Research and develop quantitative trading strategies across FI, FX and commodities Build tools for systematic trading Requirements: PhD or Master's degree in a quantitative discipline such as Mathematics, Physics, Computer Science, or Engineering At least 2 years of experience in finance Proficiency more »
/mentoring members of the team Always seeking new ways of utilizing data/providing solutions that make impact Qualifications (Hard Skills): • MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group) • 4+ years of hands-on experience in applying data science as a Data Scientist, Quant more »
in an ever-evolving market landscape. Essential Skills/Basic 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++ more »
of communication will be key as you will also have the opportunity to be client facing if you wish. You’ll need: MSc OR PHD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Solid knowledge & understanding of Machine Learning/Data more »
behaviour. Designing new technological applications to support the linear rates trading desk and risk management of the desk. Requirements Top tier Education – specifically a PhD or MSc from a global renowned (top 10) University in a highly quantitative subject (Maths, Stats, Physics, Computer Science etc) Working knowledge of derivative modelling more »
Software Engineer brings a top academic record which should include a 1st Class Masters and/or Bachelors Degree from a leading UK University, (PhD also highly beneficial) as well as grade A at Advanced level and GCSE. Due to the sensitive nature of some projects, applicants must be British more »
the latest biology/biophysics and machine learning developments for relevant applications. Write maintainable and modular code together with concise documentation. Required Skills Master, PhD degree or equivalent experience in Biophysics, Chemistry, Biochemistry, Computational Chemistry/Biology or any related scientific field. A proven track record of methods development/ more »
years’ experience in string tens of kW photovoltaic converter design, or at least 3 years’ experience in high efficiency high-power onboard EV charger; PhD degree with at least 3 years related experience, or a Master degree with at least 5 years’ experience Strong dissertation writing skills; Proficiency in programming more »
also take ownership of projects and be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages more »
eye for detail and accuracy. Experienced in working independently. An ability to demonstrate analysing data and looking for stories, patterns, trends, and insights. A PhD/master’s degree in a quantitative, mathematical, or scientific subject area. Alternatively, equivalent experience in a commercial and data science setting Proven track record more »
including Computer Vision, ML, Gen AI etc. AI, ML frameworks and Data Science Principles. Technical background with an undergraduate or advanced degree (Masters, MBA, PhD etc) in a technical field (sciences, computer science, mathematics, engineering, data science). Benefits Working at MA Methods Analytics (MA) exists to improve society by more »
and risk management. The team is focused on trading global equities mid-frequency long/short and statistical arbitrage strategies. Requirements: ➢ Master’s or PhD degree in a quantitative subject such as Econometrics, Computer Science, Applied Mathematics, Statistics, Physics, etc. ➢ 1-3 years of relevant work experience ➢ Experience with independent more »
such as Greeks; Experience in either development or validation would be relevant. Experience 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. more »
models in C++, C# and/or Python. You must have experience of model validation and curve calibration algorithms. 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. more »
Employment Type: Permanent
Salary: £75000 - £100000/annum Bonus + Full Benefits
split of technical work and leadership. Providing proof of concepts, proving value and creating scale up solutions more robust. Lead REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in stakeholder management with effective communication skills. Technical capability of LLMS and NLP with more »
the following experiance: Tech stack: Python, scikit-learn, pandas, Tensorflow, Pytorch, SQL, AWS Experiance in Natural Language Processing Experiance with AWS Master’s or PhD in Computer Science, or a related field, with a focus on AI/ML Sorry, no sponsorship for this role. If this sounds of interest more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
IC Resources
model performance on an AI processor Design and develop simulation tools to simulate AI model performance Develop benchmarking frameworks Essential experience BSc, MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware more »
leading the implementation of new AI features addressing complex problems Building semantic knowledge graphs along with engineers to create unique value. REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Extremely self-motivated and able to operate independently within a start-up environment Strong more »
research and engineering to continually improve existing strategies 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 more »
