Strong knowledge in other programming language(s) - e.g., Java, JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. Experience specifically dealing with fixed income financial products in asset management Role Responsibilities: Innovate, design and deliver More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
CommuniTech Recruitment Group
Strong knowledge in other programming language(s) – e.g., Java, JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. Experience specifically dealing with fixed income financial products in asset management Role Responsibilities Innovate, design and deliver More ❯
JavaScript, Typescript, Kotlin Strong UI development experience using frameworks such as REACT Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Commitment to Diversity, Equity, and More ❯
MSc in a quantitative discipline (such as STEM subject or Economics). Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation and statistical modeling. A minimum of 5 years experience working with Futures order book market data, with More ❯
Woking, Surrey, United Kingdom Hybrid / WFH Options
Arrow McLaren IndyCar
oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with pandas, numpy, SciKit, and other analytical packages. Experience designing distributed microservice based architectures. Strong background in mathematics, statistics, or mechanical engineering. Experience with QT Python thick client More ❯
. You have strong analytical skills You can communicate about complex subjects to non-technical stakeholders You are familiar with Terraform , Python , Pandas , and NumPy It is great if you have: Experience with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks More ❯
practices in software engineering and analytics. What You Bring Extensive experience in analytics engineering or model/data engineering roles. Advanced Python coding skills (Numpy/Pandas) and SQL expertise. Proven ability to lead technical workstreams and mentor other engineers. Strong communication skills to navigate client relationships and translate technical More ❯
datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity More ❯
services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering. Expertise in managing and optimising data architectures within data warehouse and lakehouse environments is a core requirement. Proficiency in More ❯
Science, Math, Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with automation frameworks in software testing (e.g., PyTest More ❯
as hands-on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯
/services and their integration with databases (e.g. Postgres); You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn; Some experience with training and deploying ML models; You enjoy writing elegant, well-tested and maintainable code; You are a team player More ❯
efficiency and effectiveness. Technical Expertise: Advanced proficiency in Python with minimum demonstrable programming experience including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of More ❯
and even have the ability to be client facing! Requirements 5+ years experience with Backend Engineering Strong working knowledge with Python/Pandas/NumPy/ETL pipelines Strong AWS experience (ideally Lambda & Step Functions) Strong ETL Experience Beneficial : Experience or interest in the financial markets Experience in client facing More ❯
judged by the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database technologies More ❯
at least one other programming language (e.g. C/C++, Java, Scala) Familiarity with ML frameworks (Pytorch, Tensorflow etc.) and usual scientific libraries (e.g. Numpy, Scipy, sklearn) Proficiency with Linux environments Proficiency with containerised software development (e.g. Docker) Proficiency with cloud computing environments (e.g. AWS, Google Cloud Platform) Experience with More ❯
Engineering, or a related field. 3+ years of experience developing financial tools, particularly in credit-related products. Strong Python skills, with experience using Pandas, NumPy, and Python-Dash. Knowledge of fixed income risk, P&L attribution analysis, and credit derivatives. Experience with SQL for querying databases and integrating data sources. More ❯
using Python and TypeScript, writing clean, well-structured, and maintainable code. Design and implement high-performance solutions for processing large datasets using tools like NumPy and Pandas. Assess and select the best tools, frameworks, and technologies to support evolving business and technical requirements. Develop and maintain cloud-based infrastructure, ensuring More ❯
Message bus/queue OIDC, OAuth 2.0, JWTs. Preferred Technical Skills: Systems integration experience. Knowledge of Kubernetes, Kafka, Terraform, GitHub Actions, Open Telemetry (OTEL), Numpy, and Pandas. Required Soft Skills: Experience leading an agile software development team (preferably in a Scrum environment). Comfort in challenging assumptions, asking difficult questions More ❯
priority. Development and maintenance of Continuous Integration (CI) pipelines. Complex deployments on AWS. Docker or comparable containerization technologies. Nice to have experience: Experience using numpy/pandas/torch/etc. Experience with Golang. Our salary range for the role is £70,000 to £130,000, depending on experience and More ❯
stakeholders to deliver impactful solutions. Ensure data quality, security, and governance. About You Experience in analytics or model/data engineering. Advanced Python skills (Numpy/Pandas). Strong SQL and relational database design expertise. Excellent communication skills. Benefits £6,000 per annum training & conference budget to help you up More ❯
parallel processing) databases. Experienced with data warehousing fundamentals and concepts. Database migration and ETL experience. Familiarity with Data Manipulation and Analysis such as pandas, NumPy, scipy. Knowledge of authentication and authorization protocols (OAuth, JWT, etc.). SPECIAL REQUIREMENTS: Participate in pager duty rotations during nights, weekends, and holidays. Ability to More ❯
Wakefield, Yorkshire, United Kingdom Hybrid / WFH Options
Flippa.com
experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important More ❯
and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯
