to 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 more »
management 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 more »
trade instrument types Energy trading lifecycle/activities and teams Technology & tools Workflow management tools e.g. JIRA, MS Azure DevOps Analytical tools – Python (including Pandas), SQL, Jupyter Notebooks MS Office applications If you are interested and to learn more, please send your CV for immediate consideration,. more »
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 preferred. more »
Job Description Job Title: Quantitative Developer (Contractor) Location: London, United Kingdom Job Description: We are seeking a highly skilled and experienced Quantitative Developer to join our team on a contractor basis. As a Quantitative Developer, you will work closely with more »
software systems that incorporate various data backends, query languages and ORM frameworks. Experience designing and building ETL pipelines built around libraries and frameworks like Pandas and Apache Spark. Strong API design skills and a familiarity with building web applications. A proponent of great testing, first-class observability and automating everything. more »
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 Familiarity with more »
that 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 more »
Pipelines 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 more »
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. Strong more »
ABS 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 more »
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 »
oral communication skills Candidates with the following will be given preference: Financial Markets experience Fluent with core data science libraries like Numpy, Scipy, and Pandas Working knowledge of databases and SQL Object-Oriented Programming Version control and Git Financial time series data analysis This role is to be based in more »
and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various data sources within enterprise tools (python, pandas, or SQL) to enable application of Data Science methods Create metrics and analytical reports to ensure data quality and business value. Clean, structure and normalize more »
control, and debugging. Experience of mentoring and supporting development of junior engineers. Data Analysis and Processing: Skilled in analytics, data manipulation with frameworks like Pandas and PySpark. Architectural Proficiency: Deep understanding of data architecture, modelling, and warehousing concepts, coupled with experience in big data technologies and distributed computing. Cloud and more »
to help shape the team going forward. What they are looking for: 3+ years of experience in Python, will consider C++. Ideally experience with Pandas and Numpy. Financial experience is preferred but not necessary. A strong Comp. Sci (or related degree) from a top university. Salary depends on experience. more »
Required Experience: 4+ year's commercial experience in a similar role, Data Engineer, ML Engineer, etc Extensive commercial experience with Python and relevant ecosystem; Pandas, Tensorflow, etc Commercial experience delivering AI/Machine Learning algorithms Commercial experience with cloud computing platforms - GCP or AWS ideally Comfortable working in cross functional more »
