1 to 25 of 205 NumPy Jobs

Income Credit Rates Bonds 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 order tracking and communication platform. It More ❯

Science, Engineering, AI, or related field. 7+ years of professional software development experience, with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP More ❯

Technology, or a related field. Minimum of 3 years of experience in data engineering or a related role. Proficiency in Python programming and experience with libraries such as Pandas, NumPy, and FastAPI. Experience with weather and climate datasets and tooling (e.g., Copernicus, Xarray, Zarr, NetCDF). Experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend). Strong More ❯

or a related role. Experience with weather and climate datasets and tooling (e.g., Copernicus, Xarray, Zarr, NetCDF). Proficiency in Python programming and experience with libraries such as Pandas, NumPy, and FastAPI. Experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend). Strong understanding of relational databases and SQL. Experience with cloud platforms (e.g., AWS, GCP, Azure More ❯

and live trading Requirements: Bachelor's degree or higher in CS, Engineering or other technical discipline Demonstrated ability to program in a scientific computing environment, preferably in Python/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or More ❯

YOU'LL BRING: 5+ years of software development experience in quantitative trading, with strong skills in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn) with solid debugging and analytical capabilities. Demonstrated experience implementing trading algorithms and working on large-scale distributed systems. Familiarity with transactional systems using modern databases like Aurora or More ❯

process automation, and insight generation-using both proprietary and third-party/foundational models Strong Python skills, with expertise in core data science and AI/ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc) Familiarity with additional programming languages such as Java, JavaScript/TypeScript, or C++ is beneficial, but your core expertise is in the Python ecosystem Skilled More ❯

Trading terminology and concepts (incl. financial derivatives), gained from experience working in a Trading or Finance environment Expert in core Python with Python scientific stack/ecosystem (including pandas, numpy, scipy, stats), and a second strongly typed language (e.g.: C#, C++, Rust or Java) Expert in application design, security, release, testing and packaging Mastery of SQL/no-SQL databases More ❯

between technology initiatives and business objectives. Required Qualifications: 6+ years of experience in full stack software development. Proficiency in sever side Python programming. Proficiency in data analysis using Pandas, Numpy, SciPy etc. Experience with object oriented design, distributed systems architecture, performance tuning. Experience with designing and programming relational database such as MySQL, RedShift, Oracle SQL Server, or Postgres. Experience with More ❯

Python, Django, Javascript, Cloud, Pandas, NumPy A leading London Investment Manager is currently seeking a Python Web Developer (mid level) for a new initiative: The team is currently building a new, bespoke application for the Operations function of the fund. You'll be developing automation systems for trade processing workflows, creating custom data visualization tools, and architecting web applications using More ❯

Experience with CSS frameworks and responsive design. Strong problem-solving skills and attention to detail. Nice to Have Experience with ML and/or computer vision frameworks like PyTorch, Numpy or OpenCV. Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow). Knowledge of WebGL, Canvas API, or other graphics programming technologies. Familiarity with big data technologies (Kafka, Spark More ❯

or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack - pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity More ❯

statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge More ❯

activities. Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. Proficient in SQL and Git. Ability to drive projects from initiation to completion. Keen interest in emerging More ❯

databases and data stores to support organizational requirements. Skills/Qualifications: 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar cloud More ❯

GenAI, LLM, etc. as well 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 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on More ❯

data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy Strong analytical skills with the ability to design efficient data pipelines and workflows Excellent communication skills, able to convey complex concepts to both technical and non-technical stakeholders Preferred Qualifications More ❯

data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy Strong analytical skills with the ability to design efficient data pipelines and workflows Excellent communication skills, able to convey complex concepts to both technical and non-technical stakeholders Preferred Qualifications More ❯

data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy Strong analytical skills with the ability to design efficient data pipelines and workflows Excellent communication skills, able to convey complex concepts to both technical and non-technical stakeholders Preferred Qualifications More ❯

data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy Strong analytical skills with the ability to design efficient data pipelines and workflows Excellent communication skills, able to convey complex concepts to both technical and non-technical stakeholders Preferred Qualifications More ❯

data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy Strong analytical skills with the ability to design efficient data pipelines and workflows Excellent communication skills, able to convey complex concepts to both technical and non-technical stakeholders Preferred Qualifications More ❯

maintaining cutting-edge quantitative tools and infrastructure used by our front-office traders and quants. Requirements Responsibilities: Design, develop, and implement quantitative applications using Python, leveraging libraries such as NumPy, Pandas, SciPy, and others. Partner with quants and traders to understand their needs and translate them into efficient and robust software solutions. Develop and maintain test frameworks to ensure the More ❯

and operational efficiency. Ensure data ethics and preparation are integral to projects. Develop machine learning models and algorithms for complex challenges. Code in R or Python, utilizing libraries like numpy, scipy, and pandas. Conduct exploratory data analysis, model development, and evaluation. Work with both RDBMS and distributed datasets, demonstrating strong SQL skills. Design cloud-based data pipelines for scalable and More ❯

quantitative emphasis in mathematics, engineering, or computer science. Minimum of 5 years of experience in Python development, with a strong understanding of object-oriented programming principles. Experience with pandas, numpy, matplotlib, scipy, and web frameworks like Flask or FastAPI is a plus. Good understanding of relational databases such as Oracle and MS SQL Server. Previous experience in front-office roles More ❯

developing and deploying production machine learning applications on cloud platforms (GCP preferred, AWS and Azure acceptable) Familiarity with Python ML packages such as PyTorch, TensorFlow, XGBoost, scikit-learn, SciPy, NumPy, pandas Strong SQL skills for data preparation and feature engineering Knowledge of MLOps principles, including automated retraining, monitoring, and deployment strategies Basic understanding of containerization and tools like Docker Nice More ❯