46 to 70 of 622 Pandas Jobs

platform development experience in the Python 3.x ecosystem Strong understanding of the fundaments of software engineering and design Awareness of data science concepts and technologies (Jupyter/Notebooks, numpy, pandas etc.) Financial markets experience preferred DevOps (CI/CD) Experience preferred Computer Science or relevant Engineering degree This is a £550-£600/day PAYE role (c.  More ❯

the finance space. Requirements for the Senior Python Software Engineer position: MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries such as NumPy, Pandas, Polars, etc. Bonus: Knowledge of financial markets or quantitative finance concepts If you are a Senior Python Software Engineer interested in joining an extremely talented development team, please apply to More ❯

one or more of the 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 design patterns and software architectures … one or more of the 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 design patterns and software architectures More ❯

multiple sources, ensuring consistency, accuracy, and performance Requirements: 1-2+ years of professional experience in a software development role Strong proficiency in Python, including data libraries such as pandas, numpy and scipy Experience building front-end applications in React or a similar framework Solid understanding of modern software engineering practices and clean code principles Comfortable working in a fast More ❯

or any other scientific fields Experience with financial markets (rates/fx/credit) Experience with financial mathematics/modeling/statistics 3+ years of development experience with Python (pandas/numpy, etc.) or C Java Strong analytical skills Strong problem solving capabilities Experience working in a production environment Solid communication skills Able to work independently in a fast-paced More ❯

years of hands-on experience. You’ll help streamline client onboarding, build robust integrations, and play a key role in evolving the platform. 🛠 Tech Stack & Methodology Python (Dataclasses, Pandas, Asyncio) PostgreSQL , AWS (ECS, Lambda, SQS) Agile (XP), TDD, CI/CD, and strong automation culture If you're familiar with these tools—or eager to dive in—this is the More ❯

years of hands-on experience. You’ll help streamline client onboarding, build robust integrations, and play a key role in evolving the platform. 🛠 Tech Stack & Methodology Python (Dataclasses, Pandas, Asyncio) PostgreSQL , AWS (ECS, Lambda, SQS) Agile (XP), TDD, CI/CD, and strong automation culture If you're familiar with these tools—or eager to dive in—this is the More ❯

applications. Experience with data engineering frameworks. Portfolio of past experience (e.g., demos of past work, contributions to open source, blogs, talks). Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting, ticket tracking) Hardware More ❯

applications. Experience with data engineering frameworks. Portfolio of past experience (e.g., demos of past work, contributions to open source, blogs, talks). Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting, ticket tracking) Hardware More ❯

Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly with data libraries (e.g., pandas, scikit-learn) Familiarity with RESTful APIs and event-driven architectures Strong debugging, system design, and testing skills (e.g., JUnit) Passion for building scalable, reliable platforms supporting real-world use cases More ❯

3+ years’ software engineering experience, where Python is your main language Bachelor’s degree in Computer Science or Engineering (or related field) Substantial experience with Python libraries: numpy, scipy, pandas, matplotlib, sklearn, etc. Passion for building clean, reliable and maintainable software Strong quantitative reasoning skills Highly skilled at multitasking and time management in a fast-paced environment Market-leading salary More ❯

Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly with data libraries (e.g., pandas, scikit-learn) Familiarity with RESTful APIs and event-driven architectures Strong debugging, system design, and testing skills (e.g., JUnit) Passion for building scalable, reliable platforms supporting real-world use cases More ❯

fields. Preferred Qualifications Experience with FIX, Market Data, Analytics, and OMS. Knowledge of market microstructure. Familiarity with equities, FX, options, and derivatives. Skills in Python, shell scripting, Jupyter/Pandas, KDB+/Q. About Us J.P. Morgan is a global leader in financial services, committed to building trusted, long-term partnerships and promoting diversity and inclusion. We serve clients worldwide More ❯

technical direction of the platform. What We’re Looking For 2+ years of hands-on experience in Python development (version 3.8 and higher) Strong knowledge of Python packages: numpy, pandas, SQLAlchemy Proficiency in working with databases (SQL/MySQL). Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD), such as Jenkins. Experience with More ❯

manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working More ❯

manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working More ❯

with workflow management tools (Airflow/Argo) Prior experience writing documentation for senior stakeholders; the ability to accurately abstract and summarize technical information is critical Python programming skills: PySpark, Pandas, Jupyter Notebooks (3+ years in a professional environment) Prior experience working with git in a professional environment Ability to work independently in a fast-paced environment; prioritize multiple tasks and More ❯

for software correctness BONUS POINTS Contributed code to open-source projects in the Web3 space Experience developing DeFi trading tools or frameworks Proficiency with Python scientific computing stack (NumPy, Pandas, Jupyter) Smart contract programming experience in Solidity Programming experience in a systems language like Go, Rust, or C++ Our compensation is blockchain competitive and dependent on your skills and experience. More ❯

one or more of the 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 design patterns and software architectures More ❯

issues in real-time, ensuring high availability and integrity. •3+ years of experience in data engineering, data architecture, or similar roles. •Expert proficiency in Python, including popular data libraries (Pandas, PySpark, NumPy, etc.). •Strong experience with AWS services—specifically S3, Redshift, Glue (Athena a plus). •Solid understanding of applied statistics. •Hands-on experience with large-scale datasets and More ❯

and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or More ❯

on the client AI Platform, ensuring their integration with advanced data solutions. Lead the architecture, development, and maintenance of comprehensive data integration systems, employing efficient ETL processes using Python, Pandas, and NumPy for large-scale data manipulation. Apply JavaScript or another object-oriented language (e.g., Python, C#) in client environments to seamlessly integrate various system functionalities. Proactively test, diagnose, and More ❯

experience in finance, with a focus on equities. A background in company research or quantitative research is a plus Experience with Python, in particular using standard libraries such as Pandas and Numpy. Python will be a core part of your development environment Experience working with financial datasets of various kinds. Experience carrying out independent and original research Strong econometric and More ❯

queries from clients and identifying and resolving issues. Contribute to new Finance Engineering initiatives. What We’re Looking For: Excellent programming skills in Python and strong working knowledge of Pandas and PySpark libraries. Excellent knowledge of relational databases and SQL. Experience with integration of multiple platforms. Experience with ETL processes. Experience providing first-line support for business clients. Full SDLC More ❯

OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD More ❯