Vue 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 more »
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. 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 »
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 »
/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 »
of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Experience with Pandas, NumPy, Matlab , R or other mathematical/statistical languages/packages. Excellent communication skills, both written and spoken . ? CMC Markets is an equal opportunities employer 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 »
data structures, algorithms, and software design principles. Experience in developing quantitative trading systems or financial models. Proficiency in numerical and statistical libraries such as NumPy, SciPy, or pandas. Familiarity with database technologies and SQL. Knowledge of financial markets, trading instruments, and order execution. Excellent problem-solving and analytical abilities. Effective more »
to £300pd Outside IR35 for an initial 6 months. You need to be experienced in the following Python JavaScript SQL AWS Bonus skills Pandas NumPy Ansible/Terraform/Jenkins What you need to do now If you feel like this Python Developer contract position based around Bournemouth is a more »
including data 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 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 »
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 »
experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a 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 »
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 »
using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python with one more »
modeling, Pricing, and optimization. Day to day you will focus on creating new models and building and implementing new libraries in Python (Pandas and Numpy), you will contribute to a large-scale codebase. Requirements: - Production-level coding in Python with scientific stack, Pandas (C++ is a plus!) - Mathematically minded - Quantitative more »
