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, Cucumber More ❯
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 a workplace More ❯
process 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 More ❯
looking for 1-5 years experience, excellent STEM degree and competency in both data engineering and software engineering. STRONG Python a MUST. Tech: Python, Pandas, ETL, SQL, Spark, AWS Please apply for more information More ❯
looking for 1-5 years experience, excellent STEM degree and competency in both data engineering and software engineering. STRONG Python a MUST. Tech: Python, Pandas, ETL, SQL, Spark, AWS Please apply for more information More ❯
Data Scientists 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 More ❯
Azure, GCP) to store and process data. Document workflows, pipelines, and transformation logic for transparency. Key Skills & Experience: Strong hands-on experience in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding More ❯
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 interview performance. More ❯
optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing More ❯
optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing More ❯
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-skill and More ❯
deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience More ❯
our data systems outside of standard business hours. What we are looking for: 5+ years' experience building ETL/ELT pipelines using Python and pandas within a financial environment. Strong knowledge of relational databases and SQL. Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg. Proficiency working with large More ❯
phases of engagements; advisory, design & implementation. Contribute to internal initiatives such as blogs & technical forums. Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow). Experience driving ML & data science solutions into production. You can put the numbers into a business perspective - you're More ❯
Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD pipelines More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Hunter Bond
Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD pipelines More ❯
spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling More ❯
machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks). Technical Skills: Experience with data manipulation and analysis using tools like Pandas and NumPy. Basic knowledge of cloud platforms like AWS, Azure, or Google Cloud. Desirable: Contributions to open-source projects, particularly in the AI/ML More ❯
of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks. Technical Skills: • Experience with data manipulation and analysis using tools like Pandas and NumPy. • Basic knowledge of cloud platforms like AWS, Azure, or Google Cloud. Desirable: • Contributions to open-source projects, particularly in the AI/ML More ❯
Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and More ❯
focused (recent graduate or up to 2 years of experience) to help accelerate client implementations and improve integration processes. Our stack includes Python (Dataclasses, Pandas, Asyncio), Postgres, AWS (ECS, Lambda, SQS) —experience with these or similar tech is a plus. Agile (XP), TDD, CI/CD, and automation are central More ❯
focused (recent graduate or up to 2 years of experience) to help accelerate client implementations and improve integration processes. Our stack includes Python (Dataclasses, Pandas, Asyncio), Postgres, AWS (ECS, Lambda, SQS) —experience with these or similar tech is a plus. Agile (XP), TDD, CI/CD, and automation are central More ❯
Analytics, 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 More ❯
Analytics, 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 More ❯
Analytics, 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 More ❯
