Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking and communication platform. More ❯
end technologies (React/Angular/Typescript) Exposure to Cloud platforms like Kubernetes/Cloud Foundry Proficient in coding in one or more languages and frameworks such as Python, Pandas, Django, Java, Spring, SQL, MQ/Kafka Demonstrated ability to problem-solve in real-time and handle technical issues with a sense of urgency. Strong communication skills and abilityto work More ❯
end technologies (React/Angular/Typescript) Exposure to Cloud platforms like Kubernetes/Cloud Foundry Proficient in coding in one or more languages and frameworks such as Python, Pandas, Django, Java, Spring, SQL, MQ/Kafka Demonstrated ability to problem-solve in real-time and handle technical issues with a sense of urgency. Strong communication skills and ability to More ❯
judged by the ability to deliver timely solutions to Portfolio and Risk Managers Required Skills/Experience Minimum 5 years of experience using Python and scientific python libraries (e.g., pandas, NumpPy, SciPy). Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure, or GCP). Prior experience in system design and data modeling, with the More ❯
and skills Minimum 15+ years of experience in software industry Hands-on practical experience delivering system design, application development, testing, and operational stability Proficient in Python programming, including numpy, pandas, scipy, etc. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, machine learning etc.) Ability to tackle design More ❯
London, England, United Kingdom Hybrid / WFH Options
Fitch Ratings
Fact and Dimension tables in Target D/W Hands-on experience with No-SQL DB, preferably MongoDB. Experience creating reusable code/scripts for Automated Framework using Python (Pandas, Numpy, Requests, Boto3) Experience creating automation frameworks using Selenium (Python) and tools to support test automation for web applications Experience working with Postman, SOAPUI, GraphQL or similar API testing tools More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
Snowflake, AWS, and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer More ❯
Snowflake, AWS, and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer More ❯
work independently in a fast-paced environment Detail oriented, organized, demonstrating thoroughness and strong ownership of work Desirable skills/experience: Experience working with python, and data analysis libraries (pandas/polars/numpy) Experience with financial mathematics, statistics, and broad understanding of financial services/instruments Experience in JavaScript development, especially in AngularJS or ReactJS AWS cloud services: EC2 More ❯
work independently in a fast-paced environment. Detail-oriented, organized, with a strong sense of ownership. Desirable skills/experience: Experience with Python and data analysis libraries such as pandas, polars, or numpy. Knowledge of financial mathematics, statistics, and financial instruments. Experience in JavaScript development, particularly with AngularJS or ReactJS. Familiarity with AWS services like EC2, S3, Aurora, Redshift, etc. More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Snowflake, AWS, and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer More ❯
Experience | Essential JavaScript (NodeJS, VueJS or similar framework) - Strong understanding of asynchronous programming, event-driven architecture, and modular frontend design. Python - Working knowledge of Python with libraries such as Pandas or Numpy. Database Experience - Experience with MongoDB or SQL Server for data modelling, queries, and integration. API Development - Building scalable RESTful APIs and data-processing pipelines. Containers - Hands-on experience More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
a bonus but not mandatory Desired Skills and Experience: Kafka and message bus/queue expertise Terraform and GitHub Actions skills Open Telemetry (OTEL) implementation Proficiency with NumPy and Pandas Systems integration experience Background in commodity trading (gas & power) Quantitative finance knowledge Understanding of compliance and regulation, particularly Sarbanes-Oxley (SOx) Role Responsibilities: Collaborate with both technical and business stakeholders More ❯
London, England, United Kingdom Hybrid / WFH Options
Aubay UK
a bonus but not mandatory Desired Skills and Experience: Kafka and message bus/queue expertise Terraform and GitHub Actions skills Open Telemetry (OTEL) implementation Proficiency with NumPy and Pandas Systems integration experience Background in commodity trading (gas & power) Quantitative finance knowledge Understanding of compliance and regulation, particularly Sarbanes-Oxley (SOx) Role Responsibilities: Collaborate with both technical and business stakeholders More ❯
WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems More ❯
Risk Engineering we run a mixture of Linux and Windows, and use Python as the primary language, 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 analytics in C#. We use Airflow More ❯
Please note that only applications with cover letters will be considered. Summary: digiLab is a pioneering AI company that helps enterprises transform complex challenges into innovation with uncertainty quantification, explainable AI and MLOps. Working with organisations in highly regulated or More ❯
preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and … Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM MLOps: MLflow, Weights & Biases, Kubeflow, Seldon Core Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud AI Platform, Azure ML Orchestration: Docker, Kubernetes, Airflow Databases: PostgreSQL, BigQuery More ❯
good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use … Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
utilising cloud platforms such as AWS, Azure and Snowflake for scalable deployment. Key Responsibilities: Develop and optimise quantitative models and analytical tools in Python Leverage statistical g packages (e.g., pandas, NumPy) for data analysis and modelling Work closely with portfolio managers, researchers, and technology teams to deploy robust, scalable solutions Design and implement data pipelines and workflows utilising AWS or More ❯
utilising cloud platforms such as AWS, Azure and Snowflake for scalable deployment. Key Responsibilities: Develop and optimise quantitative models and analytical tools in Python Leverage statistical g packages (e.g., pandas, NumPy) for data analysis and modelling Work closely with portfolio managers, researchers, and technology teams to deploy robust, scalable solutions Design and implement data pipelines and workflows utilising AWS or More ❯
South East London, England, United Kingdom Hybrid / WFH Options
SGI
utilising cloud platforms such as AWS, Azure and Snowflake for scalable deployment. Key Responsibilities: Develop and optimise quantitative models and analytical tools in Python Leverage statistical g packages (e.g., pandas, NumPy) for data analysis and modelling Work closely with portfolio managers, researchers, and technology teams to deploy robust, scalable solutions Design and implement data pipelines and workflows utilising AWS or More ❯
related field of study (either already graduated or in their final year of study). Proficiency in Python or similar language, ideally with an understanding of data manipulation (e.g. pandas, numpy) and visualization libraries (e.g. Plotly, Dash). Experience in designing and programming SQL databases. Experience of collaborating on codebases and using software development tools like git and Jenkins. Experience More ❯
Python Liaise daily with investment professionals to understand requirements and deliver solutions What we’re looking for: Strong Python developer with deep experience using statistical and numerical libraries (NumPy, pandas, SciPy etc.) Proven experience supporting quant or systematic investment strategies Good understanding of infrastructure – ideally AWS and Snowflake – and willingness to own setup and tooling Comfortable working in fast-paced More ❯
