growth, marketing, or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing More ❯
and guide this 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 More ❯
actionable insights. Capability to manage projects end-to-end and produce good outcomes without much supervision. 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. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing More ❯
actionable insights. Capability to manage projects end-to-end and produce good outcomes without much supervision. 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. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing More ❯
environments and HPC scheduling software. Software development including version control using GitWith open-source tools and software. Python and data analysis modules such as Pandas, NumPy, and Dask. Developing software in C/C++, Fortran or other programming languages. DESIRED QUALIFICATIONS In-depth understanding of HPC architectures and their optimization More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated More ❯
skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. More ❯
Arlington, Virginia, United States Hybrid / WFH Options
G2 Ops, Inc
Concentration) or related degree Technical Skills: Programming & Data Tools Proficiency in Python and R for machine learning and data analysis. Experience with libraries like Pandas, NumPy, and scikit-learn for data manipulation and model building. Familiarity with data visualization tools such as Matplotlib or Plotly. Machine Learning & Model Development Experience More ❯
team, and requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products More ❯
team, and requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products More ❯
execute trades in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯
execute trades in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯
/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data). Stack: Python, Pandas, SQL, AWS The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If More ❯
/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data). Stack: Python, Pandas, SQL, AWS The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If More ❯
Top Skills: - Python - Machine Learning - JavaScript - Numpy and Pandas is a plus - This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret) - Because an active or interim DoD clearance is required, U.S. Citizenship is More ❯
management. Minimum Requirements: 2+ years of experience as a data scientist. Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. Strong statistical and modeling skills. Strong communication and collaboration skills. Experience in the energy industry is a plus. Benefits: Competitive salary and More ❯
Front Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well More ❯
london, south east england, united kingdom Hybrid / WFH Options
VirtueTech Recruitment Group
Front Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well More ❯
for 'ARIMA models.' Qualifications: A strong background in mathematics, statistics, or a related field Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn Familiarity with high-frequency trading strategies and market microstructure A passion for solving complex problems and generating profits through clever trading strategies More ❯
Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯
Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯
Solid understanding of open banking, bank transaction data, or personal finance categorisation. Hands-on experience with Python (and relevant libraries such as scikit-learn, pandas, spaCy, or similar) and SQL. Experience working with raw, messy transactional data and transforming it into structured outputs. Strong background in model training, and validation. More ❯
improve the efficiency of testing, implementing, and monitoring trading pipelines. The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is More ❯
improve the efficiency of testing, implementing, and monitoring trading pipelines. The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is More ❯
