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 »
UAT/PROD deployment environments. Mandatory Requirements 3+ years of professional experience with python application development Knowledge on data intensive application development experience using Pandas, NumPy, etc. Experience developing web frontends using React and/or Angular Working knowledge of SQL and other database technologies Strong communication skills with the 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 »
of Linux and Windows, and use Python and C# as primary languages, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long-running services and analytics more »
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 more »
a strong 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 more »
advanced data visualisation applications. Requirements: Proficient in Software Python Development. 3-5 years experience in software engineering Experience with libraries/frameworks such as Pandas, Numpy, Scipy, etc. Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect). Experience with cloud infrastructure (AWS, GCP, Azure). DevOps skills (CI more »
staff and end users that are located globally. Bonus points: Experience in the trading industry. Knowledge with Anaconda. Familiarity with the scientific python stack (pandas, numpy, scipy, TensorFlow). #J-18808-Ljbffr more »
Python, such as Dask or Ray. Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks (e.g., Pandas, Plotly, SciPy). Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research. Solid understanding of the differences between L1 more »
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. more »
Quality and Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. Prima is a community made up of talented and ambitious individuals. We offer equal more »
AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake. Strong Python skills for data manipulation, scripting, and automating tasks using libraries like Pandas and NumPy. Expertise in managing data architecture and processing within data warehouses and lakehouse platforms like Databricks, Redshift and Snowflake. Experience using Git for version 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 »
Points: Experience of research and backtesting to evaluate the performance of trading strategies and models Proficiency in Rust and Python, statistical tools (e.g., NumPy, pandas, SciPy) Experience of development with relational and time series database technologies Knowledge of risk management infrastructure What We Offer: Competitive base salary and discretionary bonus 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 »
Quality and Data Governance techniques.- Knowledge on MLOps and Feature engineering.- Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM.- Exposure to tools like Apache Oozie, Apache Airflow.Prima is a community made up of talented and ambitious individuals. We offer equal employment 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 »
Quality and Data Governance techniques.- Knowledge on MLOps and Feature engineering.- Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM.- Exposure to tools like Apache Oozie, Apache Airflow.Prima is a community made up of talented and ambitious individuals. We offer equal employment more »
process 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 more »
process 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 more »
stacks and intuitive UX Strong grounding in best practices of software development Professional experience with python Proficiency with common data science libraries such as pandas, numpy and scipy Comfortable with quickly evolving requirements Additional Valuable Skills: Experience designing and building front end apps Understanding and appreciation of dev ops industry more »
Millennium, judged by the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database 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 »
