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 ❯
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 ❯
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 ❯
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 the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world 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 ❯
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 ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
Low Carbon Contracts Company
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 ❯
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 ❯
as AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake. Strong Python skills for data manipulation, scripting, and automation using libraries like Pandas and NumPy. Experience managing data architecture within data warehouses and lakehouse platforms like Databricks, Redshift, and Snowflake. Experience using Git for version control. Ability to 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 ❯
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 ❯
london, south east england, United Kingdom Hybrid / WFH Options
Xcede Group
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 ❯
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 ❯
degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled environment Knowledge of parallel computing More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Low Carbon Contracts Company
degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled environment Knowledge of parallel computing 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 ❯
experience, typically at a Senior Analyst or Analyst level role or external equivalent Experience in the following 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 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 ❯
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 a workplace 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 ❯
