degree 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 more »
a highly effective engineering team, building and supporting a portfolio management platform. Responsibilities: * Coding in JavaScript/TypeScript (React, Redux, NodeJS) and Python (pandas, numpy) * Writing and maintaining unit tests, integration tests, and E2E tests, promoting good testing standards * Using internal tooling to manage services running in AWS * Designing data more »
programming 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 more »
range: £50,000-£70,000 + benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a more »
or higher 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 more »
/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage more »
appropriate and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »
for 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+ more »
and Telco Networks is a plus Must have skills 1. Software development using Python and Django 2. Data manipulation with Postgres SQL, Pandas and Numpy 3. Logical thinking; Analyse a problem and define the solutions Good to have 1. Experience in working with industry standards/tools like Gitflow and more »
principles. Proficiency in working with large datasets and databases (e.g., SQL, NoSQL). Hands-on experience with data processing frameworks/libraries (e.g., Pandas, NumPy, Spark). Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with distributed computing platforms (e.g., Hadoop, Apache more »
You 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 more »
What's required for this Junior Python Developer position? MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries - NumPy, Pandas, Polars etc Bonus: Knowledge of financial markets or quantitative finance conceptsIf you are a Junior Python Developer and you are looking to join an more »
in mind you’ll need to have the following: Extensive software engineering/data engineering experience with Python and it's associated libraries - Pandas, Numpy, PySpark. A background in Java/C# would be beneficial to show programming aptitude. AWS, Kafka, Redis Experience within a trading technology environment would be more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're more »
Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »
Cambridge, England, United Kingdom Hybrid / WFH Options
Qureight
limit, or sponsorship 2+ years of industry experience in applied data science Thorough understanding of statistical techniques and modelling Python (Pandas, Jupyter, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Bokeh) Expert skills with data wrangling and cleaning large datasets Clear communication and presentation of datasets Optional Skills And Experience SQL more »
at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative environments more »
