build and maintain manager relationships Desirable skills · Knowledge of python (experience with research in Jupyter is a plus) and their common libraries (esp. pandas, numpy, scipy and statsmodels) · Understanding of statistics · Experience working with timeseries datasets Please send your resume and cover letter to recruitment@antarcticaam.com detailing interest and experience. more »
Bash/Powershell - Experience IaC (Bicep, Terraform, ARM OR azCLI) - CICD experience - Any experience working with Open-Source Python data libraries such as Pandas, Numpy, or any Geospaitial frameworks - is highly desirable. This role will be paying £37,000 - £45,000 DOE You will need to be eligible for Security more »
principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving skills and attention to detail. Prior experience in a quantitative role at a hedge fund, proprietary trading firm, or financial more »
decisions. Stay abreast of industry trends and incorporate new technologies to enhance existing systems. Qualifications: Strong proficiency in Python and experience with relevant libraries (NumPy, pandas, etc.). Solid understanding of quantitative finance concepts and familiarity with financial instruments. Experience working in a hedge fund or similar quantitative environment is more »
data structures, algorithms, and software design principles. Experience in developing quantitative trading systems or financial models. Proficiency in numerical and statistical libraries such as NumPy, SciPy, or pandas. Familiarity with database technologies and SQL. Knowledge of financial markets, trading instruments, and order execution. Excellent problem-solving and analytical abilities. Effective more »
best practices. Knowledge of Python build systems (e.g. Bazel, Pants, Poetry, Conda build) Proficient with Git. Proficient with data science libraries such as pandas, numpy, scipy, etc. An understanding of machine learning. UI skills for interacting with dashboards constructed using Grafana, Apache Superset, etc. Experience with databases (e.g., SQL). more »
Leicester, England, United Kingdom Hybrid / WFH Options
Harnham
to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing more »
I have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the principles of Continuous Integration and Deployment (CI/CD 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 »
in mind you’ll need to have the following: Extensive software engineering/data engineering experience with Python and it's associated libraries - Pandas, Numpy, PySpark. A background in Java/C# would be beneficial to show programming aptitude. AWS, Kafka, Redis Experience within a trading technology environment would be more »
for collection of new alternate datasets Design and Build Market Data APIs Implementation of Fundamental Trading strategies Technical Skills required – Excellent Python (inc. Pandas, NumPy, SciPy, et al) skills Experience of AWS, (Azure/GCP) beneficial 3+ years experience as a Quantitative Developer working directly with Trading and Research 2+ more »
Investigate model performance issues (using your experience of debugging models). Requirements Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn). Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering. 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 »
least 5 years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, etc. Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements more »
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 »
in data analysis techniques, including statistical analysis, machine learning, data mining, and predictive modelling. Experience with tools such as R, Python (including libraries like NumPy, Pandas, scikit-learn), MATLAB, or SAS is often necessary. Proficiency in cartographic principles and map design, including symbolization, thematic mapping, and layout design. Familiarity with more »
Employment Type: Permanent
Salary: 25 days AL, buy / sell 5 days AL, birthday off, private healthcare
