51 to 75 of 178 Statistical Analysis Jobs

equities and futures. The ideal candidate will have a proven track record in systematic trading, with a deep understanding of financial markets and quantitative analysis techniques. Responsibilities: Conduct research to develop and enhance systematic trading strategies across equities and futures products. Utilize quantitative techniques and statistical analysis … or quantitative research within a hedge fund or proprietary trading firm. Strong programming skills in languages such as Python, R, or C++ for data analysis and model development. Deep understanding of financial markets, trading dynamics, and risk management principles. Excellent quantitative and analytical skills, with the ability to work more »

where the risk models, processes, or infrastructure can be improved and participate in the design and implementation of those enhancement initiatives Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with a group of colleagues on key policy and methodology development Build and maintain the … ability to balance trade-offs Must have prior experience in risk management as a risk analyst or relevant professional experience in risk management, data analysis, portfolio management, and/or risk systems. At least some of this experience will have been gained in an investment bank, hedge fund or more »

Senior Stakeholders alongside creating general reports. Requirements: Proficiency with Power BI and DAX or similar data visualisation and ETL tools. Proven experience in data analysis, minimum 2 years Advanced Expertise in Excel, including modern functions, Power Query and data visualisation Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using SSRS would be an advantage Responsibilities: Data Management: Work along with our team to engineer the best solutions for reports from a 'Single Source of the Truth'. Data Analysis and Modelling: Utilise ETL tools to analyse more »

lasting value for their clients. They are looking for an exceptional Senior BI Analyst to join the BI team and help provide insight and analysis into the performance of clients product suites. This is an exciting opportunity to join a team that works on a real variety of projects … will define and measure business success, quality metrics, standards and reporting. This reporting will include a range of things from data extraction (SQL) to statistical analysis (Python, R) and visualization (Tableau, PowerPoint and other visualizations). You will assist clients by generating insights on their market performance using more »

other financial institution Strong programming skills in C# and experience with SQL and database management systems Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of more »

other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of more »

designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to more »

PoC, Assets) We are looking for passionate and driven individuals with: Proficiency in R Programming: Mastery of R programming language, including data manipulation, visualization, statistical analysis, and package development. Advanced Shiny Development: In-depth understanding of Shiny framework, including reactivity, modules, layouts, and custom input/output components. more »

Data and Insights Expertise: Essential: Demonstrated proficiency in leveraging behavioural, marketing, and attitudinal data to inform client strategies. Strong command of Python for data analysis, with a minimum of two years' industry experience. Ability to work with diverse datasets, including structured, semi-structured, and unstructured data. Proficient in statistical analysis techniques such as clustering, regression, etc., and their application in solving real-world business challenges. Desirable: Experience with collecting and working with open data sources, including web scraping and APIs. Competency in SQL for data analysis. Familiarity with dashboard development, particularly utilizing PowerBI. Communication Skills: Essential: Adept … setting. Capable of thriving in an environment that fosters growth and support. In Summary: The ideal candidate will possess a solid foundation in data analysis, particularly in Python, along with the ability to translate insights into actionable recommendations. Exceptional communication skills are vital for effectively conveying complex findings to more »

. Description This role is part of the corporate and forensic compliance team and works closely with stakeholders to conduct risk assessments, deep-dive analysis, and fraud investigations. Core functions of the team will include gathering data, performing analysis, documenting results, developing work plans, and escalating to line … proficiency in Microsoft applications Preferred skills: • A professional qualification in risk management/fraud examination will be an added advantage. • Experience with data/statistical analysis tools such as Power BI, Tableau etc. • Proven ability to work collaboratively with cross-geographical teams. • Excellent time management and ability to more »

organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing new ways to analyze data to … delivery service partners. Partnering with other data engineers and analysts to build and automate central tools that will improve the quality of reporting and analysis in the organization. Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines. We are open to hiring candidates … with theory and practice of information retrieval, data science, machine learning and data mining Experience with theory and practice of design of experiments and statistical analysis of results PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership AWS Cloud Practitioner/AWS Solutions Architect/AWS more »

wide range of audiences. Extremely self-motivated and able to operate independently. Strong programming skills in languages such as Python Outstanding quantitative modelling and statistical analysis skills BENEFITS: Pension scheme Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply more »

of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership more »

we're looking for: A data wizard with a knack for storytelling and a passion for making a difference Experience using Python for data analysis, with a minimum of two years in the industry Experience of using ML models and NLP, webscraping for data collection Strong statistical analysis more »

Are you a commercially minded analyst? Do you have experience delivering analysis of portfolio performance, customer behaviour and process effectiveness to understand the drivers of business performance? If you’ve answered yes, then you could be the right person to join the Strategy and Analytics team. What you can … an Insight Analyst: Competitive salary Permanent contract Hybrid work from our Kings Hill office As an Insight Analyst you will be focused on delivering analysis of portfolio performance, customer behaviour and process effectiveness to understand the drivers of business performance and to support the Senior Insight Manager in making … recommendations to the Senior Management Team to develop the Customer Journey through data and analysis. Key responsibilities include: Project based delivery of statistical and empirical analytics. Data warehouse interrogation, extraction, collection, and manipulation using Python, SQL and Excel. Support the delivery of a Test and Learn environment for Collections more »

quality as they develop innovative solutions for various industries. Responsibilities for the Quality Technician: Develop and refine quality assurance processes Conduct thorough testing and analysis Investigate and address quality issues Maintain detailed documentation Collaborate with cross-functional teams Manage supplier quality standardsRequirements for the Quality Technician: Proven experience in … quality engineering, ideally in semiconductor or optoelectronics Strong understanding of manufacturing processes and reliability testing Hands-on experience with failure mode analysis Familiarity with statistical analysis (e.g., Lean Six Sigma) Excellent problem-solving skills Eligibility to work in the UKBenefits for the Quality Technician: Competitive salary and more »

hourly personnel Manage people, work schedule and budget. To ensure all technicians complete all assigned tasks in timely and efficient manner Conduct Root Cause Analysis of all environmental in-process and material issues which may impact reliability testing and implement follow-up corrective measures to resolve identified reliability issues … as required Preferred Requirements: Bachelor of Science or Master's degree in Statistics or Mathematics. (Bachelor's degree in Engineering with strong experience in Statistical Analysis and Reliability Methods) Bilingual English/Korean Master's degree in Statistics or Mathematics Experience in continuous improvement systems and lean manufacturing … Sigma/Shainin Red X Certification Experience with the AIAG Advanced Quality Planning and Control Plans, FMEA, Production Part Approval Process, MSA, and SPC (Statistical Process Control) Experience with quality certification and system such as ISO9001/IATF16949 is required Familiar with World Class Manufacturing pillar methodology and implementation more »

Trader will play a pivotal role in executing trading strategies, managing positions, and optimizing profitability in the gas and power markets. Key Responsibilities: Market Analysis: Conduct in-depth analysis of gas and power markets, including supply and demand dynamics, infrastructure constraints, regulatory developments, and market trends to identify … understanding of gas and power markets, including physical and financial products, market structures, trading protocols, and regulatory frameworks. Excellent quantitative skills, including proficiency in statistical analysis, quantitative modeling, and risk management techniques. Strong communication and interpersonal skills, with the ability to interact effectively with clients, colleagues, and stakeholders … in a fast-paced trading environment. Proficiency in trading systems and software, including experience with electronic trading platforms, market data analysis tools, and risk management systems. Knowledge of energy derivatives, options pricing, and volatility trading strategies is a plus. more »

for a B-Corp company. Friday afternoons off and excellent benefits. You’ll be coming into this agency to support their clients across insights, analysis and BI solutions! What you’ll be doing Join a friendly team, reporting to the Director of Data, where you can grow your career … stuck in from day one! What experience you’ll need to apply Strong background in business intelligence and analytics SQL experience Excellent PowerBI experience Statistical analysis experience using Python or R Appreciation of customer, marketing & digital analytics Able to spot opportunities for predictive analytics Excellent stakeholder management experience more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

Data Science, Materials Science, or a related field. Experience in data science and materials science is mandatory. Proven track record in computational modelling & or statistical analysis, and machine learning. Experience: Familiarity with materials manufacturing processes and characterisation techniques Excellent communication, team-building, and decision-making abilities. Demonstratable ability more »

supplier performance on quality and delivery and conducts supplier Audits. This position drives the development, implementation, and institutionalization of essential global processes through the analysis of global and regionally derived operational and supplier quality data, best practice, and benchmarking. Additionally, the SQDE will support the Dundee site in local … and 6-sigma certifications. Knowledge and utilization of quality management tools, such as; Value Stream Mapping, capability studies, MSA, SPC, Control Plans, Kaizen, 5S, Statistical Analysis, SMED, Root Cause analysis tools, Corrective Action Systems, VOC, QFD, Error Proofing, Robust Design, FMEA, and Cause and Effect Diagrams. Formal more »

information into engaging and informative stories that resonate with a national or global audience. Responsibilities Generate your own ideas for articles based on data analysis Handle large datasets using spreadsheets such as Google Sheets or Excel Explore data and extract meaningful insights for articles across a wide range of … subjects and sections Collaborate with a team of journalists and designers to create compelling data-driven stories Use statistical analysis and data visualisation tools to present complex information in an engaging way Help to improve data literacy of our reporters and collaborate to help upskill our teams Able more »

closely with our customers, supported by your colleagues across Ripjar, to ensure they have the best experience using our software (with a focus on statistical attributes). Collaborations with our customers are mostly remote, though can also be on-site when required. When not working directly with customers, you … being familiar with standard data science tools (e.g numpy, pandas, sklearn, visualisation packages) Working knowledge of machine learning and other algorithms. Confident in performing statistical analysis of large datasets, including evaluating the results of experiments you design and execute Understand the nuances of dealing with structured and unstructured … people from different backgrounds, genders and experiences ensures that we make decisions with a truly global perspective. Diversity gives us strength in our technology, analysis and relationships." - Maria Cox, Head of People Operations Links we think you might like!! Profile Summaries (generated using LLMs) - feature launch AI Risk Profiles more »

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 predictive and forecasting machine learning models Strong background in data clustering (correlation … bring structure to problems Ability to manage and prioritize multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience: Familiarity with energy data, smart grids, demand response, or related fields is a plus Experience with Airflow and/or more »