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 »
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 »
the latest research on algorithmic trading. Start: ASAP Duration: 6 or 12 months Key Requirements: Post graduate degree in a technical field (ie Engineering, Statistics, Physics, Applied Mathematics etc). Proficiency in an analytical programming language such as python, R or MATLAB to be used daily for research and analysis. more »
articulate complex concepts to diverse audiences. Strategic mindset with the ability to think critically and solve complex business problems. Advanced degree in Computer Science, Statistics, Mathematics, or a related field. Salary and Benefits: Competitive salary: Up to £150,000 per annum Bonus: 40% bonus based on performance Additional benefits: [Include more »
best in class data science services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in data science, analytics, or a related field, with the ability to deliver hands on projects as well as guide more »
and time management skills. Proficiency in industry-standard process methodologies (e.g., Agile) is required. University degree with an emphasis on Computer Science, Mathematics/Statistics, or equivalent demonstrable experience Great communication skills and an ability to build strong relationships across all organisational levels Flexible team player who understands the importance more »
London - LHR16 We are open to hiring candidates to work out of one of the following locations: London, GBR Basic qualifications Degree in mathematics, statistics, computer science, engineering, economics or related field Experience translating roadmaps and key performance indicators as well as recommendations to senior leaders Experience in quantitative research more »
data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL Qlik experience more »
years' of experience in quantitative analytics or data modeling Commodities background is a must Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience working on data sets, data analysis and basic modelling How to Apply: If you’re interested, submit your CV and more »
in class data and AI services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. A senior leadership profile, with demonstrable experience in realising commercial value from data assets Expert knowledge in data science and analytics, with more »
with data pipeline development and automation. coding skills (mainly with Python) knowledge (understanding of risk concepts such as VaR calculations) and good understanding of statistics with version control systems (Git) Experience with big data frameworks, databases, distributed systems, Cloud or Web development. Experience with any of these: SQL, JavaScript, TypeScript more »
London, England, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: computational, chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma more »
West London, London, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: computational, chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma more »
deliver with fast time-to-market, quality, and ownership. Desirable: Experience with Agile and SAFe frameworks for software development Experience in data science techniques, statistics, analysis, and visualization of data is always nice to have. At Kantar we have an integrated way of rewarding our people based around a simple 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 »
be involved with include, Full Body Inverse Kinematics, Motion Matching, Skeleton Retargeting, Data Pipeline and Compression, Events Editor, Real-Life Match Data 3D Viewer, Statistics and Generative AI. Collaborate with other disciplines, including animations, artists, QA, producers, and other engineering teams, on both development and future planning. Work closely with more »
line with business requirements YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Proven experience in software engineering and machine learning with a focus on APIs Extensive experience in Python, SQL and a cloud service more »
both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just more »
Qualifications: Experience in systematic equities trading, preferably statistical arbitrage strategies. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. A track record of successful alpha generation with a shape>2. Strong coding skills in languages such as Python, C++ more »
trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest job updates more »
expertise in Computer Vision and 3D Data. Experience in 3D data - LiDAR, Point Cloud etc MSc or PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics, or relevant fields. Track record of thriving in fast-paced startup settings. Proficiency in Python and C++ programming languages. NEXT STEPS: If you're excited more »
required for the role of Connected Car Analyst include : * Ideally Degree qualified or equivalent in a relevant engineering discipline * Proficient in MySQL, Tableau and Statistics * Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps * Knowledge of Data visualisation tools * Competent with PC applications including Microsoft Office more »
with data scientists, re-shape code, support towards some ML Ops principles, make the ML platform easy for users Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just more »
risk management, etc.) Preferred Technical Skillset Strong research and programming skills Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university Fluent in C++ or Python Demonstrate strong abstract reasoning and independent problem-solving skills Preferred more »
years or more of experience in a product and/or quantitative finance related role Advanced degree in a quantitative field such as mathematics, statistics or quantitative finance. Knowledge of developer workflows and an understanding of financial products and analytics. Knowledge of Fixed Income products and Credit Derivatives is preferred. more »
