knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with more »
higher degree in a highly numerate subject is essential • Minimum 2 years' experience in Python development, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) • Solid understanding of object-oriented software engineering design principles for usability, maintainability and extensibility • Experience working with Git in a version-controlled environment more »
algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. Strong problem-solving abilities and attention to detail, with a passion for solving more »
of a highly effective engineering team, building and supporting a portfolio management platform. Responsibilities: * Coding in JavaScript/TypeScript (React, Redux, NodeJS) and Python (pandas, numpy) * Writing and maintaining unit tests, integration tests, and E2E tests, promoting good testing standards * Using internal tooling to manage services running in AWS * Designing more »
in machine learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity with more »
experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. · Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. · Machine Learning and Data Science Tools - Any experience in more »
where appropriate and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good more »
Mathematics/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We more »
s proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis) Able to take high level requirements and lead with constructing the engineering concept to underpin more »
or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark more »
Cambridge, England, United Kingdom Hybrid / WFH Options
Qureight
UK without restriction, time limit, or sponsorship 2+ years of industry experience in applied data science Thorough understanding of statistical techniques and modelling Python (Pandas, Jupyter, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Bokeh) Expert skills with data wrangling and cleaning large datasets Clear communication and presentation of datasets Optional more »
production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative more »
Pipelines for collection of new alternate datasets Design and Build Market Data APIs Implementation of Fundamental Trading strategies Technical Skills required – Excellent Python (inc. Pandas, NumPy, SciPy, et al) skills Experience of AWS, (Azure/GCP) beneficial 3+ years experience as a Quantitative Developer working directly with Trading and Research more »
DevOps for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn. Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc). Experience with Vertex AI Understanding of CI/CD pipelines more »
CSS3, JavaScript) and Telco Networks is a plus Must have skills 1. Software development using Python and Django 2. Data manipulation with Postgres SQL, Pandas and Numpy 3. Logical thinking; Analyse a problem and define the solutions Good to have 1. Experience in working with industry standards/tools like more »
start-up environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks). Experience with data visualization tools (e.g., Matplotlib more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you more »
design principles. Proficiency in working with large datasets and databases (e.g., SQL, NoSQL). Hands-on experience with data processing frameworks/libraries (e.g., Pandas, NumPy, Spark). Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with distributed computing platforms (e.g., Hadoop more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Ordnance Survey Limited
testable code, Design Patterns) ? Experience mentoring or advocating best practice to team members. Technologies We Use : Python (including Data Science libraries such as NumPy, Pandas, Matplotlib, PyTorch), AzureML, QGIS. Our wider team also uses Esri ArcPro and geoprocessing tools, FME, Bicep, Azure Batch, Azure Pipelines, YAML, SQL. Remember, you don more »