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 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 »
well as end-user operational documentation. Scientific Software Developer – Essential Skills understanding of Python Development with scientific computing libraries and frameworks, such as NumPy, SciPy, Pandas, interest in the maritime industry TO BE CONSIDERED… Please either apply by clicking online or emailing me direct at daniel.jones@searchability.com. For further information … us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Python/NumPy/SciPy/Pandas/TensorFlow 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 »
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 »
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 »
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 »
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 8 that is responsible for an in-house built Fixed Income more »
skills (OOP) Experience working in a hardware-development context - Scientific Instrumentation/industrial process control/electronics/imaging Scientific application development experience - NumPy, SciPy etc Interfacing with hardware as serial, USB, CANbus or PLC networking devices Excellent technical communication skillsIf you are a Senior Python Software Engineer and you more »
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 »
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 »
