with software design and development methodologies PREFERRED QUALIFICATIONS Technical knowledge and experience with any of the following: gRPC, Python, C++, C#, Jupyter Notebooks, Pandas, NumPy, continuous integration/continuous deployment. Technical knowledge and experience with CUDA or OpenGL. Experience in a large-scale commercial software development environment Good communication and more »
with software design and development methodologies PREFERRED QUALIFICATIONS Technical knowledge and experience with any of the following: gRPC, Python, C++, C#, Jupyter Notebooks, Pandas, NumPy, continuous integration/continuous deployment. Technical knowledge and experience with CUDA or OpenGL. Experience in a large-scale commercial software development environment Good communication and more »
with software design and development methodologies PREFERRED QUALIFICATIONS Technical knowledge and experience with any of the following: gRPC, Python, C++, C#, Jupyter Notebooks, Pandas, NumPy, continuous integration/continuous deployment. Technical knowledge and experience with CUDA or OpenGL. Experience in a large-scale commercial software development environment Good communication and 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 »
Python Developer, Hedge Fund, Fixed Income, Trading, Angular, Risk, PnL, Pricing, Python, Pandas, NumPy, SciPy, Linux There is a new role with a Hedge Fund in London, looking for a senior Python Developer on a contract basis to join their Front Office Fixed Income Trading Technology group. The team are 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 »
least 5 years of professional experience as a python software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge more »
Strong problem-solving skills in probability and statistics.Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.Experience with scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus:Experience building machine learning models from scratch (e.g., built more »
and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g. more »
Senior Data Scientist (German speaking) - UK Remote - Permanent Python (Pandas, NumPy), SQL, Machine Learning, Battery Storage, Renewables ***Please note this role does not offer sponsorship, and you must be based in the UK to apply*** I'm currently working with an exciting global energy storage business. They operate in the … and fits your skill-set, please apply below and I'll be in touch! Senior Data Scientist (German speaking) - UK Remote - Permanent Python (Pandas, NumPy), SQL, Machine Learning, Battery Storage, Renewables 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 »
United Kingdom (On-site) Key Skills and Experience 5+ years of professional full-stack development experience (Python, Angular) Experience with libraries such as Pandas, NumPy etc Good knowledge of database creation and manipulation in SQL. Excellent communication skills and be able to comfortably work with front office teams (Quants, Researchers more »
range: £60,000-£65,000 + 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 »
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 »
using quantitative methods for strategy parameter optimization Prior experience at a top tier hedge fund, proprietary trading house or investment bank Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries 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 »
and modern OIS/Libor techniques. Preferred experience in US Treasury and European government bond markets. Proficient in Python and data manipulation libraries (Pandas, NumPy, SciPy). Experience with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. Strong more »
a Python Developer, with a strong portfolio of relevant projects. Technical Skills: Proficiency in Python and its libraries/frameworks (e.g., Django, Flask, Pandas, NumPy). Experience with data processing and analysis. Familiarity with database systems (SQL and NoSQL). Knowledge of version control systems (e.g., Git). Understanding of more »
uses our own image recognition algorithm to instantly find things in the digital soup that is construction industry PDFs. It's built with Python (numpy), Postgres and React and has interesting backend scaling challenges due to the large amount of data we need on every request. For our most recent more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
ARCA
commitment. Opportunity to collaborate with industry-leading experts. What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear more »
machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep more »
5+ years of experience as a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and experience more »
8+ years of experience as a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and experience more »
8+ years of experience as a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience more »
