2 jobs found

Data Engineer Full Time / Permanent 55,000 - 60,000 plus up to 20% bonus, private medical and other extensive benefits Hybrid - 1-2 days a week in the North Oxfordshire head office The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered in North Oxfordshire, UK. This would be a hybrid role requiring 1-2 days a week in the North Oxfordshire head office. The Role: I am looking for a driven and experienced Data Engineer to help to design, build and maintain a data lakehouse in databricks pulling data from core platforms and external sources and refining this into well curated analysis ready datasets. As a Data Engineer you will operate within an Agile delivery environment, working closely with other Data Engineers, Data Analysts and a Data Architect to deliver against the backlog; providing vital insight from a wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of business units domestically and internationally. The Person: The ideal candidate will possess a strong background in Data Engineering with a proven ability to design, build, and maintain scalable data pipelines and solutions. From a technical standpoint you will ideally possess: Proven experience with databricks Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms (Azure preferred) and related data services. Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka). Experience of Waterfall and Agile delivery methodologies Contact: Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with quantitative analysts to align ML models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML pipelines for large-scale financial data. Model Optimisation & Deployment Experience - Proven track record of deploying ML models at scale, with experience in hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborative & Business-Focused - Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals. Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics. Job Offer A competitive daily rate up to £1200 per day (inside IR35), depending on experience. The opportunity to work on cutting-edge machine learning projects in the financial services industry. A temporary role offering valuable exposure to a global organisation in London. BASED 4 DAYS PER WEEK IN THE OFFICE (Central London)