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 Income more »
Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development more »
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 »
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). Deep more »
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. No more »
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 Familiarity more »
scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding standards more »
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+ years more »
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 communication more »
models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as PyTorch, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in building speech recognition, machine translation and natural language processing systems (e.g. more »
written and 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 more »
Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and insight more quickly more »
then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience, including DS libraries such as NumPy, SciPy, Pandas, Seaborne/MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial more »
skills (OOP) Experience working in a hardware-development context - Scientific Instrumentation/industrial process control/electronics/imaging Scientific application development experience - NumPy, SciPy etc Interfacing with hardware as serial, USB, CANbus or PLC networking devices Excellent technical communication skillsIf you are a Senior Python Software Engineer and you more »
environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks). Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau more »
digital communication systems will be highly valued. · Signal Processing : Knowledge of signal processing algorithms and proficiency in tools such as MATLAB or Python (NumPy, SciPy) for the simulation and analysis of communication systems. · Regulatory Knowledge : Familiarity with international regulatory standards and compliance requirements for wireless systems (e.g., FCC, ETSI) is more »
Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for learning more »
