environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks). Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau more »
modern version control and continuous deployment pipelines. The following are desirable but not essential requirements: · Knowledge of writing scientific applications in Python using NumPy, SciPy, matplotlib and similar. · Knowledge of writing numerical simulations of electromagnetic scattering in semiconductors. · Knowledge of working with event-driven, multi-threaded, parallel, or concurrent systems. more »
and model building to extract valuable insights from data. Proficient in Python and its core data science libraries (Pandas, Jupyter Notebook, Scikit-learn, NumPy, SciPy, etc.) for efficient data manipulation and analysis. Data Wrangling: You have the skills to tackle messy data sets with confidence, cleaning, wrangling, and preparing them more »
and performance to inform design and implementation decisions. Software development experience and knowledge of C++11/14/17. Working knowledge of Python (Numpy, Scipy, Jupyter Notebooks, etc). A measured, scientific approach to building complex engineering systems Extra kudos if you have: The ability to understand and debug complex more »
and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. Strong problem-solving abilities and attention to detail, with a passion for more »
Romsey, England, United Kingdom Hybrid / WFH Options
Signly
CircleCI for DevOps practices Competent working with: Microservices Architecture a Machine Learning framework and tools (we use TensorFlow, PyTorch, Keras, Azure, NVIDIA ML, Pandas, SciPy, Numpy and OpenPose) Computer Networking (protocols, load balancing, etc) Experience working with Monitoring and alerting toolkits, monitors and dashboards (e.g. Prometheus, Grafana, Azure Monitor) infrastructure more »
Proficiency in machine learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity more »
researchers use a constantly evolving set of systems, tools, and libraries. Most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput more »
collection of new alternate datasets Design and Build Market Data APIs Implementation of Fundamental Trading strategies Technical Skills required – Excellent Python (inc. Pandas, NumPy, SciPy, et al) skills Experience of AWS, (Azure/GCP) beneficial 3+ years experience as a Quantitative Developer working directly with Trading and Research 2+ years more »
Lead, Software Engineers, and other Data Scientists.The requirementsEssential skills:Strong numerate background, e.g. in Mathematics, Physics, or similar.Background in Probability & Statistics.Experience with Pandas, NumPy, SciPy, Scikit-learn, R, Matlab, and/or SQL.Experience using Machine Learning (ML) techniques.Self-starter with ability to work autonomously in an unstructured environment.Bonus skills:Experience more »
standard Person specification: Masters or PhD in a relevant field such as Applied Mathematics, Biomedical Engineering, Chemistry, Physics, Bioinformatics, or related Proficient in Python, SciPy, NumPy, Pandas. Experienced with a range of programming packages including R, SQL and Matlab Proven demonstrated background working with raw signal processing, data analysis and more »
Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin 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 Experience of front office software development more »
scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding standards more »
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 • Experience more »
