BI Analyst position with fully funded training and progression plans in place. Experience/Duties A degree or equivalent in a relevant subject (Mathematics, Statistics, Computer Science etc.) Ability to use R (or other data mining tools) Ability to build & interpret PowerBI reports Strong analytical skills, with the ability to more »
AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »
enable companies in the entertainment industry to significantly increase profit margins. You ll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You ll likely come from a strong quantitative degree background in Science or Maths and have worked more »
the team through teamwork, training and leading by example. Key Candidate's Skills: A degree in numerate or hazard-related subjects, ideally Applied Maths, Statistics or Engineering, Computer Science or relevant scientific subject such as Physics, Seismology, Atmospheric Science, Geo-Sciences. Alternatively, relevant industry experience would be considered Working knowledge more »
data engineering teams to deploy and integrate deep learning models into our trading infrastructure. Qualifications: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such more »
investment 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 more »
for model risk management (SR11-7, SS 1/23, SS 3/18). Strong analytical background and numerical skills. Educational background in statistics, mathematics, data science, or engineering. Hands-on experience with statistical data programs such as SAS, SQL, R, or Python. Proactive, able to act on own more »
in Scrum/Agile development environments. Familiarity with IT service management software (ITSM), PaaS, and SaaS. A Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Due to the volume of applications received for positions, it will not be possible to respond more »
detailed reports and presentations to communicate research findings and strategy performance. Requirements: PhD or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Proven experience in quantitative research, preferably within the financial industry. Strong programming skills in languages such as C++. Deep understanding more »
*Intega IT Recruitment Ltd*I.T & Technology Recruitment Experts*
go out of the comfort zone, who possess ironclad judgment and integrity around confidential information. Basic qualifications • Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance or related technical field. • 7+ years of relevant work experience in analytics, financial systems, data engineering or business intelligence. • Solid experience using SQL, ETL more »
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Confidential
projects. Produce reports outlining findings and communicating key results to stakeholder Requirements: Numerical based degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS/SQL language Experience in using specialist pricing software (i.e. Emblem more »
like bagging and boosting. Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data). Knowledge of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes. Cloud and Deployment : Proven experience in delivering high-quality AI-based products and productionising machine learning more »
capacity. Preference is given to candidates with buy-side experience. Bachelor's and/or Master's degree in a quantitative field such as statistics, mathematics, engineering, financial engineering/economics, or a related discipline. Proficiency and practical experience in credit investments and fixed income, encompassing the development and maintenance more »
reservoir of experience in quantitative research within a trading environment, notably in digital assets or traditional market spaces. A strong academic background in Mathematics, Statistics, Financial Engineering, or a related field. Proficiency in programming languages such as Python, R, or MATLAB is foundational. A demonstrable track record of developing profitable more »
and best practices in data analytics, particularly within the omni-channel fashion, luxury, and sports industries. Required Qualifications: Bachelor's degree in Data Science, Statistics, Business Analytics, or a related field. Proven track record in data analytics roles, preferably within the omni-channel fashion, luxury, or sports industries. Experience using more »
Language Models. Expertise in NLP, with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience. Experience with Large Language Models, BERT, Embeddings, and similar technologies. Experience with cloud computing platforms such as AWS, Azure more »
mid to senior levels) || Sports Data Stack - Python, Scala, SQL, AWS Salary - Up to £75k per year The company is a specialist in developing statistics and analytics for sporting data across the globe. In essence, they hand-select their own raw data through in-house match analysts and transform this more »
date records of examination-related information, including candidate details, results, and feedback. Generate reports as required for internal and external stakeholders. Generate and organise statistics on assessment records for all ESL students. Collaboration: Collaborate with academic departments, faculty, and other relevant stakeholders to coordinate examination activities. Liaise with external examination more »
roles. This multi-modal training program combines instructor-led training, lab exercises, scenario-based project sprints, and more to develop and hone Data analysis, statistics, SQL, Data visualisation, Data protection, Microsoft Azure and professional development skills. The instructor will be provided with a curriculum and teaching framework. There may also more »
points: Experience prototyping ideas discussed in research papers into code that can be assessed and benchmarked Experience with Deep Learning/Reinforcement Learning/Statistics applied to Machine Learning Experience with A/B testing Experience with data processing pipeline frameworks (e.g., Luigi or Airflow) Experience working with teams of more »
on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting more »
quality deliverables, which will provide a deeper understanding of the firm's client base, competition and market A Bachelor's degree in Marketing or Statistics along with demonstrable experience in market analyst/research positions. Secure analytical and numerical skills, comfortable working with quantitative data and a desire to problem more »
and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with Machine Learning and Statistics a plus Excellent problem-solving and analytical skills. Experience working in an Agile development environment. Our Amazing Benefits Hybrid/Flexible working model 25 days more »
