1 to 25 of 392 Pandas Jobs

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 ❯

yrs' of blended exp. as both a Data Engineer and Software Engineer Advanced Python skills, inc. Data Analysis and ML libraries such as Pandas, NumPy, etc OO Python with expertise in Multiprocessing/Multithreading Solid SQL skills, experience with both SQL and NoSQL based DBs such as Postgres, MongoDB, Redis More ❯

yrs' of blended exp. as both a Data Engineer and Software Engineer Advanced Python skills, inc. Data Analysis and ML libraries such as Pandas, NumPy, etc OO Python with expertise in Multiprocessing/Multithreading Solid SQL skills, experience with both SQL and NoSQL based DBs such as Postgres, MongoDB, Redis More ❯

Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing More ❯

Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing More ❯

Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing 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 ❯

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 ❯

space 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 More ❯

years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office More ❯

years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office More ❯

including data 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 More ❯

including data 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 More ❯

including data 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 More ❯

SQL Server) and experience with modern data warehouse solutions (e.g., Snowflake, Fabric). o Expertise in Python for data engineering tasks, including data manipulation (Pandas, NumPy) and workflow management (Dask, PySpark, FastAPI). o Solid knowledge of cloud platforms (Azure, AWS) and big data technologies (Hadoop, Spark). o Hands 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 ❯

space 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 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 ❯

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 ❯

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 ❯

Software Engineering skills, include ETL/ELT pipelines for High throughput (and Low Latency Data) Expert Python skills including OO Python Intimate understanding of Pandas Strong SQL skills, and experience with both SQL and NoSQL based DBs such as Postgres, MongoDB, Redis, etc. Cloud experience with any of the major More ❯

Software Engineering skills, include ETL/ELT pipelines for High throughput (and Low Latency Data) Expert Python skills including OO Python Intimate understanding of Pandas Strong SQL skills, and experience with both SQL and NoSQL based DBs such as Postgres, MongoDB, Redis, etc. Cloud experience with any of the major More ❯