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 »
demonstrated by a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships 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 »
microstructure experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in 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. Strong problem-solving abilities and attention to detail, with a passion for solving more »
strong preference for Python In-depth knowledge of distributed systems and public cloud technologies Familiarity with various elements of our technology stack (Flask, SQLAlchemy, Pandas, REST APIs, MySQL and NoSQL Databases, RabbitMQ, Docker, Linux, AWS ECS Serverless, AWS Lambda) For a confidential discussion on this role, please contact Ciara Clarke 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 »
work very closely with the Head of Data. The best-matched Senior Data Scientist would have the following experiance: Tech stack: Python, scikit-learn, pandas, Tensorflow, Pytorch, SQL, AWS Experiance in Natural Language Processing Experiance with AWS Master’s or PhD in Computer Science, or a related field, with a 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 »
CSS3, JavaScript) and Telco Networks is a plus Must have skills 1. Software development using Python and Django 2. Data manipulation with Postgres SQL, Pandas and Numpy 3. Logical thinking; Analyse a problem and define the solutions Good to have 1. Experience in working with industry standards/tools like 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 »
production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative more »
in Large Language Models, GenAI, Natural language Processing and Neural Network Architectures Advanced Python coding skills with experience in traditional data science packages (Numpy, Pandas) Basic SQL. Knowledge of other databases a plus Mid-level knowledge of PyTorch or TensorFlow Track record of Project Management and delivering positive outcomes with 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 »
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 »
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 »
multi-layered "location" data. The Tools You'll Be Using: You'll be working in a cloud-first Google Cloud Platform environment. Using Python (Pandas) for Data Manipulation. Leveraging Python further for ML-based algorithms. The Experience You Need: You will bring 2-3 years of experience as a Data more »
performance of all trading systems. Provide support for deployed systems, diagnosing and resolving issues rapidly. Requirements: Strong proficiency in Python, with experience in NumPy, Pandas, or similar libraries. Understanding of multi-threaded applications and performance optimization. Background in computer science, engineering, mathematics, or a related field. Experience with real-time more »
London, England, United Kingdom Hybrid / WFH Options
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in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
trading systems and taking charge of infra tooling. 4+ years' of platform engineering or trading system experience Commodities experience Strong architecture skillset Tech: Python, Pandas, APIs, Dash, React Statistics/probabilities understanding The client are conducting interviews from later this week, with the view of an offer being made to more »
