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 »
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 »
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 »
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 »
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 »
to make a tangible impact in our organization. What experience you’ll need to apply: Solid Python skills with exposure to libraries such as NumPy, PANDAS, spaCy, HuggingFace. Exposure to SQL Experience working in start-up/scale up businesses or small teams. Data visualization experience with either Tableau, Looker more »
collaboration and communication. Strong understanding of Linear algebra, Complex numbers, Optimisation theory, and Machine learning algorithms. Hands on experience with Python, (Django a plus) NumPy/SciPy/OpenCV or similar frameworks, CI/CD tools and working on Linux OS. This is an immediate hire and my client is more »
London, England, United Kingdom Hybrid / WFH Options
Client Server
office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series more »
Greater London, England, United Kingdom Hybrid / WFH Options
Elliott Wood
a UK Engineering firm as a structural or civil engineer You have experience developing applications with Python and an understanding of tools such as Numpy, Pandas, Jinja and PyNiteFEA You have experience of connecting to APIs for commonly used industry software products from providers such as Autodesk, Tekla, CSI or more »
Senior Backend Engineer – FinTech – London Hybrid 1/2 Days a Week – Python/NumPy/Distributed Systems/AWS I am working with a exciting London based FinTech start-up. The company who were founded a little over 5 years ago and have secured multiple $M of funding to … working with on the core analytics and dependency graph services. Requirements Very Strong Python Experience (expected minimum 3+ Years) Strong Experience With Numerical Python (NumPy/Pandas) Experience with Distributed Systems Strong AWS experience (Lambdas ideally) STEM degree (preferred) On Offer Salary up to £90,000 Hybrid working arrangement bonus … please send a copy of your CV to sam.smith@amicusjobs.co.uk Senior Backend Engineer – FinTech – London Hybrid 1/2 Days a Week – Python/NumPy/Distributed Systems/AWS more »
My client is looking for a Back End Python Developer to join their team. They will be primarily developing our trading systems under the management of a Senior Developer. This includes the code that deploys our models and executes our 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 »
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 »
markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and more »
