Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience. Equity: Generous equity package, on a standard vesting schedule. Impact & Exposure: Work more »
Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience. Equity: Generous equity package, on a standard vesting schedule. Impact & Exposure: Work more »
and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics more »
and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics more »
working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion for uncovering actionable insights from complex datasets. more »
london, south east england, United Kingdom Hybrid / WFH Options
Sea
working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion for uncovering actionable insights from complex datasets. more »
record of building and deploying models in a real-world setting. Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly. The ability to choose the right machine learning model for the job (linear/logistic regression, RFs, xgboost, NNs, etc.). Experience with more »
hedge fund, bank or buy side client) producing quantitative research A demonstrable proficiency in Python 3.10+, the standard library, as well as numpy, pandas, matplotlib, and scikit-learn An understanding of machine learning processes, and their applications to investment- this could be various algorithms (i.e., logistic regression, neural networks), and more »
MSc, PhD) in Computer Science, Physics, Bioengineering, or a related field. Strong Python programming skills , with experience using libraries such as NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, or PyTorch . Hands-on experience with GUI development (e.g., PySide, Tkinter, or web-based frameworks ) or a keen interest in learning, with more »
MSc, PhD) in Computer Science, Physics, Bioengineering, or a related field. Strong Python programming skills , with experience using libraries such as NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, or PyTorch . Hands-on experience with GUI development (e.g., PySide, Tkinter, or web-based frameworks ) or a keen interest in learning, with more »
developing and deploying machine learning models in production. Strong programming skills in Python and SQL. Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such more »
above Python skillset, familiar with object-oriented development and software development best practices Working knowledge of the Python modules: GDAL, OpenCV, Numpy, Scikit-Learn, Matplotlib, Pandas, GeoPandas Excellent communication skills, experience working alongside and presenting to senior leadership Desirable Skills Practical experience with geographical data analysis and GIS software Experience more »
a team with fast turnarounds, manage workloads effectively and readily assume additional responsibilities Exposure to data analysis libraries (e.g., pandas, numpy) and visualisation tools (Matplotlib, plotly) Understanding software testing principles and frameworks Preferred skills Knowledge of financial instruments and equity markets Familiarity with cloud services Familiarity with quantitative research methodologies more »
Create visually appealing and interactive charts, graphs, and dashboards to represent data analysis results. Use tools like Tableau, Power BI, or Python libraries like Matplotlib or Seaborn. Problem-Solving: Identify business problems or challenges and formulate data-driven solutions. Collaborate with cross-functional teams to understand requirements and provide analytical more »
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a more »
