8 of 8 Feature Engineering Jobs in the South East

teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry More ❯

SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the More ❯

deployment of cutting‑edge algorithmic strategies and quantitative models. The position blends deep hands‑on technical work with high‑level strategic oversight across research, engineering, and trading operations. Key Responsibilities Quantitative Strategy Development & Research Algorithm Design: Lead the creation and refinement of proprietary trading algorithms rooted in the firm … insights. Innovation: Continuously evaluate emerging research (deep learning, reinforcement learning, agent‑based modeling) to sharpen our edge. Technical Infrastructure & Implementation System Architecture: Partner with engineering to design high‑throughput trading systems that scale globally. Software Development: Oversee codebases in Python, C++, Java, or MATLAB; enforce best practices for testing … readable, well‑tested, version‑controlled code and transparent research notebooks. Qualifications Education: B.S. or M.S. in a quantitative field such as Mathematics, Computer Science, Engineering, Statistics, or Physics. Experience: Minimum 5 years building and deploying profitable algorithmic strategies at a hedge fund, bank, or proprietary trading firm. Programming: Advanced More ❯

Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development More ❯

delivering innovative, tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for More ❯

across major client projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client More ❯

for High-Frequency Strong proficiency in Python , C++, or other relevant languages. Deep understanding of AI and machine learning algorithms , including time series modeling, feature engineering, and model interpretability. Experience with market microstructure , order book dynamics, and execution strategies. Background in quantitative research , algorithmic trading, or data science. More ❯

junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯