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 ❯
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 ❯
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 ❯
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 ❯
and business intelligence A good understanding of Python, including fundamental knowledge and a willingness to learn, along with familiarity with packages such as NumPy, pandas, and scikit-learn. Proficiency in SQL is required, along with experience in Unix and familiarity with scheduling tools like Tidal and Airflow. Good understanding of More ❯
and business intelligence A good understanding of Python, including fundamental knowledge and a willingness to learn, along with familiarity with packages such as NumPy, pandas, and scikit-learn. Proficiency in SQL is required, along with experience in Unix and familiarity with scheduling tools like Tidal and Airflow. Good understanding of More ❯
field Strong proficiency in Python and writing scalable backend systems Experience working with cloud platforms such as GCP , AWS, or Azure Solid knowledge of Pandas for data analysis and manipulation Familiarity with software testing best practices and writing clean, testable code Competency in Git, CI/CD, and working within More ❯
field Strong proficiency in Python and writing scalable backend systems Experience working with cloud platforms such as GCP , AWS, or Azure Solid knowledge of Pandas for data analysis and manipulation Familiarity with software testing best practices and writing clean, testable code Competency in Git, CI/CD, and working within 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 ❯
Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD pipelines More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Hunter Bond
Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD pipelines 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 ❯
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 ❯
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 ❯
