activities Lunch allowance for use within our subsidized onsite canteen Must have skills Degree educated or equivalent in a relevant subject e.g. Quantitative Finance, Statistics Significant experience within investment risk management within the asset management or financial services industry with a focus on equities Extensive knowledge of capital markets and more »
as we continue to build integrated solutions for our clients Skills and Attributes Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Minimum 2 years of relevant Life Insurance actuarial experience for Consultant and at least 5 for Senior Consultant and above more »
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 »
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 »
/Data Science team. The ideal candidate must have some programming experience (e.g Python, SAS, R etc) and have a numerate degree (e.g. Mathematics, Statistics, Operational Research, Economics, Physics etc). (No sponsorship available and must be able to work 3 days per week in the office near Macclesfield more »
team Have experience of large-scale training Experience in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field 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 »
with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. Strong understanding of statistics/econometrics for back-testing. Excellent analytical, problem-solving, and critical-thinking abilities. Creative thinker with attention to detail. Self-motivated, eager to learn, and more »
in machine learning and financial research. Present research findings to team members and contribute to strategy development. Requirements: PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a more »
LIVE SC CLEARANCE PREFFERED FOR THIS ROLE Qualifications PhD/Degree/MSc in a highly numerate subject (e.g. Data Science, Computer Science, Mathematics, Statistics, Physics) Mandatory Experience Experience experience using open-source tools, such as Python, R and Git. Awareness of the limitations and ethics around using data from more »
Employment Type: Contract
Rate: £20 - £20.47/hour Hybrid Working, Flexible Working
give business end-users access to information without direct IT involvement Requirements for the Data Engineer role; Hold qualifications in related disciplines such as Statistics, Mathematics and Data Sciences Experienced in working Microsoft Cloud Data and Automation technologies Experienced working with Tableau and or Power BI Experienced in data warehousing more »
Employment Type: Permanent
Salary: £50000 - £60000/annum Excellent Benefits and bonus
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 »
query language, Python. Develop visualizations within and outside the Splunk framework. About You The ideal candidate will have: Bachelors degree in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools more »
and compliance. An experience of data mapping and consolidating. Experience at working across multiple geographies. Ideally a degree in Sustainability, Engineering, Mathematics, Computer Science, Statistics or related discipline Key Competencies Excellent stakeholder management and communication skills Detailed, precise and quality focused Team player A self-starter who seeks ways to more »
and implement action plans to ensure on-going process improvements. Advanced knowledge of Microsoft Excel Experience of complex data analysis using advanced knowledge of statistics, database design and BI systems tools Understand basic concepts of BI Architecture such as ETL, Data Warehousing and Data Modelling Ability to manipulate, model and more »
data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »
and internal stakeholders, serving as a trusted advisor and thought leader in the field. Qualifications: Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or related field. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages more »
Hungerford, Berkshire, South East, United Kingdom Hybrid / WFH Options
In Technology Group Limited
Access to free perks and discounts through Perkbox Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced more »
Greater Leeds Area, United Kingdom Hybrid / WFH Options
In Technology Group
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 »
Somerset, South West, United Kingdom Hybrid / WFH Options
Reed Technology
Design ad hoc reports as required, maintaining consistent company formatting; Produce periodic reports as defined by the Management Team to include daily, weekly, monthly statistics, KPIs and progress reports; Produce regular reporting in accepted group format and assist in inter group data submission to meet certification requirements; Analyse reports and more »
