11 of 11 NumPy Jobs in the City of London

ideally 5+ years Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market ...

approaches to analytics and data handling across multiple asset classes (Equities, Fixed Income, Credit, FX). Candidate Profile Strong programming skills in Python (Pandas, NumPy), with MATLAB experience required. Familiarity with other data analysis tools (R, Eviews) is an advantage. Experience managing projects from requirements gathering through to testing ...

Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful ...

with FRTB frameworks and calculations . Experience working with Front Office trading systems and stakeholders . Strong knowledge of data processing, numerical libraries (e.g., NumPy, Pandas), and performance optimization. Experience with distributed systems, APIs, and large financial datasets. ...

welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle ...

improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with ...

3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks ...

scratch in a commercial environment Strong commercial experience in Marketing Mix Modelling (MMM) Advanced Python skills for data manipulation, modelling, and analysis (e.g., pandas, NumPy, scikit-learn) Strong understanding of branding, brand positioning, and marketing strategy Ability to interpret brand language and translate it into measurable analytical frameworks Demonstrated customer ...

Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into ...

Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic ...

mathematical rigour sit at the heart of everything they do. The environment is intellectually stimulating, with real ownership, modern tooling (such as Pandas, SciPy, NumPy), and the chance to work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics modules that … 5+ years’ Python development experience • Strong mathematical or statistical modelling background • Experience building production-grade analytical software • Knowledge of tools such as Pandas, SciPy, NumPy, SQL and cloud platforms with tools such as Kubernetes and Docker. Why You’ll Love It • Flexible hybrid or fully remote working options • Opportunity ...