London, England, United Kingdom Hybrid / WFH Options
Client Server
Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc/PhD level - Computer Science or similar discipline Salary more »
with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical more »
including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience more »
to an open role. Essential Qualifications : Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages more »
problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity models, time-series, ensemble methods and neural networks more »
datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability, and enhance operational efficiency. Big Data Management: Utilise big data technologies to process and analyse vast amounts of more »
its core mission-led strategic objectives. The platform will be designed to be iterative and adaptive, allowing exploration of new data sources, models, and algorithms over time, ensuring that BHF stays current and leverages the latest advancements in data intelligence. You'll work closely with our Health Insights Team, the more »
work experience, training, military experience, educationDevelopment experience.Extensive hands-on experience of building large scale Java applications is needed.Computer Science education backgroundIn-depth knowledge of algorithms and data structures.Solid background in Linux commands, Linux system calls, Linux operating system features, and low latency system tuning is desired.Solid knowledge in threading, thread more »
Excellent communication skills and ability to work in a team Have experience of large-scale training Experience in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »
will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »
models for avatars using audio, video, and text cues. Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code more »
You will need: Strong C/C++ programming language skills SQL experience Knowledge of Capital Markets and/or Interest rates Working exposure to algorithms and data structures Computer Science or similar type degree Apply now for an immediate interview in what is promised to be a fluid and quyick more »
will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »
interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »
/full proficiency in C++; Some familiarity with Python Ability to architect and implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master’s/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Excellent communication and interpersonal more »
side or sell-side) Back-end development expertise at least 4 years of working experience (2 years minimum experience in Golang) Strong data structures & algorithms knowledge Excellent communication and teamwork skills Bonus points for: Trading experience (digital assets or traditional) Cloud platforms (AWS, GCP, Azure) Containerization (Docker) & caching technologies (Redis more »
depth understanding of or strong knowledge in either C#, C++ or other object orientated languages such as Java or Python Good familiarity with common algorithms and data structures and their performance trade-offs An ability to own all aspects of development projects from start to finish A desire to understand more »
Preference is for the individual to be based in London, but they are open to Paris. Key Responsibilities: Develop and refine quantitative models and algorithms for intraday futures alpha generation. Conduct rigorous data analysis to identify patterns, trends, and trading opportunities. Back-test and validate trading strategies using historical data. more »
infrastructure for simulation, optimization, and transaction cost modeling. Key Responsibilities: Develop and maintain Python-based infrastructure for portfolio optimization and simulation. Implement custom execution algorithms and trade targeting strategies to optimize trading performance. Build and refine transaction cost models to minimize market impact and enhance profitability. Collaborate with cross-functional more »
preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. Qualifications Degree in Computer Science, Engineering, or related field. Excellent communication skills, adept at remote collaboration. more »
and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). more »
projectYou will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes.You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists.You will be able to have more »
the ability to understand technology. This development team is not huge and is very technical.The Head of Software Engineering Must Have:· Strong knowledge of algorithms and data structures.· Degree in Computer Science or a STEM Subject· Strong knowledge of trading and high demand systems· Ability to read code Java, C++ more »
of the best Financial Technology companies to be part of, with a key focus on artificial intelligence, machine learning and products based around mathematical algorithms and risk assessment products there is a great environment to learn and develop. A background in finance or insurance is desirable! Leading from example whilst more »
