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 »
Income, Futures and Options, and their respective market microstructures Superb programming skills inc. Python expertise inc. expert understanding of the scientific stack (Pandas, NumPy, SciPy), and knowledge of advanced concepts inc. multiprocessing and asyncio , plus some exposure to high performance languages such as Golang, C++, C# Expert understanding of advanced more »
mixture of Linux and Windows, and use Python and C# as primary languages, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long running services and more »
Engineering, or a related field. Strong programming skills, particularly in languages such as Python and C++ Experience with quantitative libraries and tools (e.g., NumPy, SciPy, Pandas, TensorFlow). Solid understanding of financial markets, instruments, and trading strategies. Experience with database technologies and data management (e.g., SQL, NoSQL). Knowledge of more »
Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with Front End development using HTML, CSS, and JavaScript. Familiarity with database technologies such as more »
following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 6 month contract with more »
opportunities for improvement. Qualifications Maths/Computer Science/Engineering Masters or PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable more »
development using SwiftUI. Desirable experience C/C++ or other OO programming language Signal processing Image processing algorithms Data processing libraries e.g. Pandas, NumPy, SciPy ML & Big Data libraries e.g. TensorFlow or SKLearn Data communication with external devices using UDP/TCP sockets on POSIX compliant systems. TDD CI/ more »
modern OIS/Libor techniques. Preferred experience in US Treasury and European government bond markets. Proficient in Python and data manipulation libraries (Pandas, NumPy, SciPy). Experience with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. Strong understanding more »
in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you’ll get more »
in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you'll get 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 »
experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code Must have the more »
Opportunity to collaborate with industry-leading experts. What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear Programming more »
ML - About You: Top academics in a relevant field (Computer Science, Statistics, Mathematics) Strong command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in more »
and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is more »