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 »
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 »
/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 »
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 »
s or Master's degree in Computer Science, Mathematics, or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience 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 »
integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant more »
Proficient with data structures and algorithms, with good experience handling unstructured data. Sound knowledge and experience of core Python, data science libraries such as Numpy, Pandas and Scipy and deep learning frameworks Keras, TensorFlow and/or PyTorch. Strong analytical and problem-solving skills, with the ability to tackle complex more »
the following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 12 month contract 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 »
Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and 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 »
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 »
with data structures and algorithms, with good experience handling unstructured data. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Understanding of CI/CD & Devops principles. Familiarity 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 »
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 »
XCCY swaps. Government Bonds & Bond Futures. FX – Linear and Vanilla. Data Strategy Engineer Tech Stack: A minimum of 1.5 years experience using Python (pandas, numpy, requests etc). Excel. Databases: an understanding of SQL and NoSQL databases (postgress, mongo). REST API. Bloomberg API (Excel and python). Data Strategy 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 »
