1 to 25 of 347 Permanent NumPy Jobs

Strong knowledge 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 More ❯

JavaScript, Typescript, 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 More ❯

understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing quantitative models More ❯

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 client More ❯

itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark More ❯

itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark More ❯

MSc 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 More ❯

Science, 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 More ❯

Proven experience with Apache Kafka and knowledge of event-driven architecture. Strong programming skills in Python, with experience in data processing libraries (e.g., Pandas, NumPy). Familiarity with data storage technologies (e.g., PostgreSQL, MongoDB, Hadoop). Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) is a plus. Knowledge More ❯

integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant More ❯

integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant More ❯

Message bus/queue OIDC, OAuth 2.0, JWTs. Preferred Technical Skills: Systems integration experience. Knowledge of Kubernetes, Kafka, Terraform, GitHub Actions, Open Telemetry (OTEL), Numpy, and Pandas. Required Soft Skills: Experience leading an agile software development team (preferably in a Scrum environment). Comfort in challenging assumptions, asking difficult questions More ❯

Message bus/queue OIDC, OAuth 2.0, JWTs. Preferred Technical Skills: Systems integration experience. Knowledge of Kubernetes, Kafka, Terraform, GitHub Actions, Open Telemetry (OTEL), Numpy, and Pandas. Required Soft Skills: Experience leading an agile software development team (preferably in a Scrum environment). Comfort in challenging assumptions, asking difficult questions More ❯

. 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 learning frameworks More ❯

or 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 More ❯

Experience with Software/Data Science Concepts: Understanding of data structures, algorithms, and common data science techniques. Experience with data science tools like Pandas, NumPy, or similar libraries for data manipulation. Experience with Cloud/Distributed Systems: Familiarity with cloud platforms (AWS, Azure, etc.) is a plus, especially if the More ❯

various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience with Python, R, and/or Java programming More ❯

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 Equity More ❯

itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark More ❯

itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark More ❯

itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark More ❯

itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark More ❯

as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

/services and their integration with databases (e.g. Postgres); You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn; Some experience with training and deploying ML models; You enjoy writing elegant, well-tested and maintainable code; You are a team player More ❯

efficiency and effectiveness. Technical Expertise: Advanced proficiency in Python with minimum demonstrable programming experience including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of More ❯