11 of 11 NumPy Jobs in the City of London

toxicity to improve pricing performance 🧠 What We’re Looking For Strong experience in Java (5+ years) — high-performance, distributed systems Advanced Python skills (NumPy, Pandas, SciPy) for quantitative modelling Experience applying numerical optimisation or machine learning to trading/pricing problems Background in algorithmic trading, client pricing, or liquid markets ...

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 ...

programming languages such as Python, R, or SQL, and experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker ...

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 ...

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 ...

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 ...

StatArb platform. Live since 2021, trading 24/6 globally. Unified graph-based framework (DAG) across research, production, analytics, risk, and P&L. Deep Numpy/Numba work, processing vast historical datasets and real-time tick data. You'll contribute to shared tooling that researchers actually rely on. … lines. What you'll need: 5+ years as a Quant Dev in a systematic hedge fund (StatArb/equities experience ideal) Deep Python expertise (Numpy/Numba) Strong grasp of statistical methods, numerical optimisation, and equity market microstructure Experience with Unix internals and graph-based data processing frameworks What ...