1 to 25 of 3,787 Master's Degree Jobs in London

snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. More ❯

coordinate with key stakeholders. Collaborate with stakeholders to integrate advanced analytics and machine learning into risk modeling processes. Desired Qualifications and Skills: Education: Bachelor’s or master’s degree in finance, Economics, Mathematics, Engineering, or a related field. Qualified accountant (and >2 years post qualified). Experience: 2+ years of experience in financial risk More ❯

processes to efficiently load, transform, and distribute daily data. Employ agile development practices to develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience. Significant working experience in process automation, data analysis, and More ❯

Join to apply for the QA Equities and Hybrid role at Barclays Join to apply for the QA Equities and Hybrid role at Barclays We are seeking a skilled and motivated Quantitative Analyst to join our Equity & Hybrid Products team. More ❯

these solutions to ensure they meet the intended objectives. Work closely with various business units to understand their data needs and challenges. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in programming languages such as Python or R. Experience with SQL and More ❯

enhance skills and knowledge to improve analytical capabilities. Privacy and Compliance: Adhere to data privacy regulations and compliance requirements while handling sensitive and confidential data. QUALIFICATIONS Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Economics, or Computer Science. A master's degree is a plus. At least 5 years More ❯

by the Project/Account Manager or Principal Technical Consultant. Support client training services in custom development technologies. Required Skills, Experience and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Accounting, Economics, or a directly related IT field. 5+ years’ experience in Software Design and Development and/or deployment. More ❯

TensorFlow). Experience in Quantitative Finance or strong interest in mathematical/financial modeling, derivatives pricing, or algorithmic trading. Familiarity with ETRM platforms (e.g., OpenLink Endur). Master’s degree in computer science, Engineering, or a related technical field. Experience building highly scalable data applications in a cloud environment. Seniority level Seniority level Mid-Senior More ❯

through the full model lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark More ❯

through the full model lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark More ❯

and software engineering trends and technologies. • Troubleshoot and debug issues across the software stack, including ML model performance problems. 3. ROLE REQUIREMENTS, QUALIFICATIONS AND EXPERIENCE • MSc/PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience. • Professional software development experience using languages such as Python, C, Julia, C++, or similar. More ❯

London Quantitative Analyst (Portfolio and Credit Risk) London Discretionary Company Bonus Scheme 25 days holiday (rising to 28 after 3 years' service) pro rated, plus bank holidays, to take time to recharge and do something you love. Private Medical - via More ❯

We are seeking a skilled and motivated Quantitative Analyst to join our Equity & Hybrid Products team. You will work at the intersection of financial engineering and quantitative research, supporting pricing, risk management, and trading strategies for a wide range of More ❯

Senior Quantitative Analyst, Global Quantitative Research Senior Quantitative Analyst, Global Quantitative Research Job Purpose The selected candidate will join the Global Quantitative Research Group at ICE which designs, implements, and supports enterprise quantitative models and systems. The primary responsibility of More ❯

Job Description Job Purpose The selected candidate will join the Global Quantitative Research Group at ICE which designs, implements, and supports enterprise quantitative models and systems. The primary responsibility of this position will be to drive all quantitative model related More ❯

and performance of data and AI solutions. Work closely with other teams to ensure seamless integration of data and AI solutions with other systems. Requirements Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. At least 5 years of experience in data and AI consulting or a related field. Strong understanding of data … Python, R, or Java. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Preferred Qualifications: Master's degree in Computer Science, Data Science, or a related field. Experience with big data technologies such as Hadoop, Spark, or Kafka. Experience with data visualization tools More ❯

related analytical field experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel - Bachelor's degree in computer science, engineering, mathematics or equivalent - 6+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables), - Knowledge of data … visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control More ❯

on your constant evolution - Show a desire to learn and develop core analytical skills Understand your strengths and weaknesses and train accordingly YOUR SKILLS AND EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a … plus. Degree will not be required with appropriate work experience. 1 – 2 years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice. You will be expected to have an understanding and with guidance utilise our core technical skills: Core analytical languages and software (Excel, SQL, Python, Alteryx More ❯

Communicate complex IAG concepts and solutions to non-technical stakeholders in a clear and understandable manner. The following skills and experience are essential for this role Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field. A Master's degree or relevant certifications (e.g., CISSP, CISM, TOGAF) is a More ❯

convert that feedback into detailed product specifications and acceptance criteria • Maintain documentation, ensuring platform features meet Medtronic's governance standards Must Haves • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field • Proven experience (5+ years) as a Product Manager, with a focus on data platforms, big More ❯

within Fintech, Banking, or Telecom sectors. Degree: Degree in Business, Data Science, Statistics, Economics, Mathematics, Computer Science, or related fields. Certifications or a Master’s degree (e.g., MBA, MS in Business Analytics) are a plus. Tools: Experience with visualization and analysis tools like Tableau, Power BI, SQL, Excel, PowerPoint. #J More ❯

environment. Opportunities to collaborate with senior members of the firm and a wide variety of groups across all areas of the firm. SKILLS AND RELEVANT EXPERIENCE Preferred Master's Degree in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering. Deep knowledge in statistical modeling, such as regression, time series analysis, machine learning More ❯

Solving and Troubleshooting: Proactively identify and resolve issues related to ML model performance, data integrity, and infrastructure What You Bring To The Team Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field 3+ years of experience in machine learning operations, data engineering, or related roles AWS Proficiency More ❯

enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. More ❯

debt, prioritize backlogs, and ensure timely delivery of features and enhancements. Foster a culture of innovation, continuous improvement, and engineering excellence. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of software engineering experience, with at least 5 years in a leadership or managerial role. More ❯