subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL Experience bringing predictive models into a production environment Possess vast more »
subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL Experience bringing predictive models into a production environment Possess vast more »
or data scientists, managing their priorities and development with a track record of leading them in a fast-paced environment.Extensive programming ability across Python, R and strong ability to use SQL, with a proven experience of analysing data in a corporate environment.Experience working at scale and in particular with cloud more »
and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »
or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience with data analysis and quantitative modeling in financial markets. Familiarity with futures markets and intraday more »
Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top more »
come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative more »
Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. Knowledge of statistical techniques and quantitative methods, including time series forecasting and predictive modelling. Excellent communication skills and ability to work collaboratively in more »
or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with more »
or industry A minimum of 3 years of experience in quantitative research, within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage more »
for the role.); Ideally have Advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be consider (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes; Experience writing technical documents that meet internal and regulatory standards. Experience more »
learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as Python, R, or SQL. • Excellent communication and collaboration skills, with the ability to translate technical findings into actionable insights for non-technical stakeholders. If this sounds like more »
reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as R or Python) is desirable. Broad and deep technical understanding of different analytics, tools and metrics and experience in communicating them to a wide audience. The more »
solving skills in probability and statistics.Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.Experience with scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus:Experience building machine learning models from scratch (e.g., built your own more »
particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML more »
or related field of educationExpertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAIStrong programming skills in Python, R, C#, or similar, with experience in cloud computing platforms (AWS, Azure, Google Cloud)Strong problem-solving skills, with an emphasis on consensus building and collaborationExcellent more »
strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working Superb leadership more »
on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a financial context. Strong programming skills in Python, R, or similar languages. Solid understanding of statistical methods and quantitative research methodologies. Strong communication skills and the ability to work collaboratively in a team environment. more »
Knowledge of SQL databases and experience in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to more »
using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills in languages such as Python, R, or SQL. Must have experience working with CRM systems. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious more »
and motivate teams to achieve ambitious goals and drive results. Expertise in software development methodologies, tools, and technologies, including but not limited to Python, R, SQL, cloud computing platforms (AWS, Azure), and big data technologies. Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all more »
prioritize tasks • Familiarity with marketing analytics tools and techniques • Advanced Excel, PowerPoint, and Eviews (or other modelling software) skills • Knowledge of programming languages (e.g., R, Python) is a plus Please apply more »
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 quantitative strategies and models. Exceptional communication skills, enabling the translation of complex quantitative concepts more »
decisions under time constraints in high pressure situations· Operational leadership and strong interest in trading and technology· Knowledge and proficiency in Python, SQL and R· Effective problem-solving skills and strategic decision-making· Detail oriented, excellent written and verbal communication skills· Self-starter, not afraid to question status quo· Bachelor more »
