1 to 25 of 315 Pandas Jobs in England

ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built More ❯

in other programming language(s) - e.g., Java, JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. Experience specifically dealing with fixed income financial products in asset management Role Responsibilities: Innovate, design and deliver in terms More ❯

Kotlin Strong UI development experience using frameworks such as REACT 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 Commitment to Diversity, Equity, and Inclusion: We More ❯

models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL. Good understanding of machine learning techniques and statistical methods. Experience with A/B testing and experimental design. Hands-on experience with More ❯

models, and data transformation within data warehouses; knowledge of tools such as DBT is desired. Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL. Good understanding of machine learning techniques and statistical methods. Experience with A/B testing and experimental design. Hands-on experience with More ❯

models, and data transformation within data warehouses; knowledge of tools such as DBT is desired. Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL. Good understanding of machine learning techniques and statistical methods. Experience with A/B testing and experimental design. Hands-on experience with More ❯

Knowledge of Athena, Quartz, SecDb or equivalent platforms preferred. Concept of Risk, Markets - any knowledge in commodities markets is a plus. Expertise in Python, pandas, NumPy, SciPy is a plus. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's More ❯

of financial mathematics, statistical analysis, and machine learning as applied to financial markets. Strong Python development skills, including proficiency with libraries such as NumPy, Pandas, SciPy, and machine learning frameworks. Java experience is a bonus. Proficiency with time-series databases, modern version control and CI/CD pipelines. Familiarity with More ❯

of financial mathematics, statistical analysis, and machine learning as applied to financial markets. Strong Python development skills, including proficiency with libraries such as NumPy, Pandas, SciPy, and machine learning frameworks. Java experience is a bonus. Proficiency with time-series databases, modern version control and CI/CD pipelines. Familiarity with More ❯

Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles Experience with Git/GitHub and best practices More ❯

in a quantitative discipline (such as STEM subject or Economics). Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation and statistical modeling. A minimum of 5 years experience working with Futures order book market data, with strong More ❯

with tech staff and end users that are located globally. Experience in the trading industry. Knowledge with Anaconda. Familiarity with the scientific python stack (pandas, numpy, scipy, TensorFlow). For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at More ❯

Qualifications, Capabilities, and Skills Experience with FIX, Market Data, Analytics, and OMS Market microstructure knowledge Equities, FX, options, derivatives asset class knowledge Jupyter/Pandas, KDB+/Q, Python, shell scripting About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world More ❯

and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with pandas, numpy, SciKit, and other analytical packages. Experience designing distributed microservice based architectures. Strong background in mathematics, statistics, or mechanical engineering. Experience with QT Python thick More ❯

already graduated or in their final year of study). Proficiency in Python or similar language, ideally with an understanding of data manipulation (e.g. pandas, numpy) and visualization libraries (e.g. Plotly, Dash). Experience in designing and programming SQL databases. Experience of collaborating on codebases and using software development tools More ❯

projects and have outstanding communication skills with both financial and technical people. Skills and Experience Required 3-10 years' experience, ideally developing with Python (pandas/numpy), although open to a Python/C++/Java mix Solid analytical problem-solving skills Financial markets (rates/fx/credit) experience More ❯

Agile methodology . You have strong analytical skills You can communicate about complex subjects to non-technical stakeholders You are familiar with Terraform , Python , Pandas , and NumPy It is great if you have: Experience with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine More ❯

software engineering and analytics. What You Bring Extensive experience in analytics engineering or model/data engineering roles. Advanced Python coding skills (Numpy/Pandas) and SQL expertise. Proven ability to lead technical workstreams and mentor other engineers. Strong communication skills to navigate client relationships and translate technical insights into More ❯

set. Experience Required Essential A proven track record of programming in Python 3.x (up to latest version) and its supporting packages such as Numpy, Pandas, Multiprocessing and Scipy. A good understanding of programming in C++ and its Standard Template Library (STL). A fundamental understanding of software engineering subjects such More ❯

qualifications, capabilities, and skills Experience with FIX, Market Data, Analytics and OMS Market microstructure knowledge Equities, FX, options, derivatives asset class knowledge Jupyter/Pandas, KDB+/Q, Python, shell scripting About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to the More ❯

following database systems – DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of More ❯

stack Excellent communication and stakeholder management skills Nice to have Familiarity with the AWS environment (S3, Athena, Redshift) Experience with Python (Airflow, dbt, pySpark, Pandas) Experience with Snowflake Experience with Thoughtspot Familiarity with the command line Some understanding of Kafka Master's degree or equivalent in a quantitative field Previous More ❯

large datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience More ❯

experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering. Expertise in managing and optimising data architectures within data warehouse and lakehouse environments is a core requirement. More ❯

Math, Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with automation frameworks in software testing (e.g., PyTest, Cucumber More ❯