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'sdegree 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 ❯
Ability to work independently on tasks and projects through to completion. Attention to detail, excellent communication skills, and a team-oriented mindset. Preferred Qualifications, Capabilities, and Skills Master'sdegree in Computer Science, ML, or related areas. Experience with Ray, MLFlow, and/or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems More ❯
impacting AI/ML in financial services Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects Requirements Bachelors or Mastersdegree in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field 5+ years of experience in data science, analytics or related roles within the financial services More ❯
on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master'sdegree in computer science, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking More ❯
execution, and analysis. You will also Implement and deploy models through complete Software Development Life Cycle (SDLC ) utilizing Python and DevOps tools following best practices Required A Master’sdegree in Mathematics, Physics, Computer Science, or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong More ❯
execution, and analysis. You will also Implement and deploy models through complete Software Development Life Cycle (SDLC ) utilizing Python and DevOps tools following best practices Required A Master’sdegree in Mathematics, Physics, Computer Science, or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong More ❯
London, England, United Kingdom Hybrid / WFH Options
Barclays
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 ❯
London, England, United Kingdom Hybrid / WFH Options
HipHopTune Media
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’sdegree 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'sdegree in a quantitative field, such as Mathematics, Statistics, Economics, or Computer Science. A master'sdegree 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’sdegree 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 ❯
Experience with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master'sdegree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯
London, England, United Kingdom Hybrid / WFH Options
Luupli
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'sdegree 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 ❯
London, England, United Kingdom Hybrid / WFH Options
H&P Executive Search
providing intuitive GUI tools for decision support. Collaborate with the Quant Technology team to build and enhance option pricing and volatility models. Skills: Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics. Minimum of 3 years’ experience in a professional role within Trading, Structuring, Risk, or More ❯
London, England, United Kingdom Hybrid / WFH Options
Harrington Starr
driven decision-making. Support marketing by leveraging data insights to drive engagement. What we're looking for: 5+ years of experience in quantitative analysis, preferably within finance. Master’sdegree in Mathematics, STEM, Economics, or a related quantitative discipline. Expertise in Python and key libraries for statistical modeling and data manipulation. Experience working with Futures More ❯
London, England, United Kingdom Hybrid / WFH Options
EXL Service
functions, constructors etc Strong ability to translate functional specifications/requirements to technical requirements Skills and Personal attributes we would like to have: Bachelor’s/Master'sdegree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields More ❯
Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast. Essential Skills: Master'sdegree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred). A proven record of a strong foundation in Machine Learning, data science, and 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’sdegree 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 ❯
East London, London, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
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 ❯
City of London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
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 ❯
London, England, United Kingdom Hybrid / WFH Options
NATO
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'sdegree 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'sdegree 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 ❯