1 to 25 of 44 Pandas Jobs in the South East

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 in terms More ❯

and 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 More ❯

and 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 More ❯

Software Engineering skills, include ETL/ELT pipelines for High throughput (and Low Latency Data) Expert Python skills including OO Python Intimate understanding of Pandas Strong SQL skills, and experience with both SQL and NoSQL based DBs such as Postgres, MongoDB, Redis, etc. Cloud experience with any of the major 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 ❯

way of working. Required Skills 8+ years of experience in data engineering, data architecture, or related roles, with technical expertise in AWS, Python, Pyspark, Pandas, Snowflake, Airflow Strong domain experience, working with Quant groups or Portfolio Managers with large investment banks or in the Hedge Fund Industry Proven track record More ❯

on experience in developing and deploying AI solutions in a business environment. Proficiency in Python and familiarity with AI frameworks and libraries such as Pandas, NumPy, PyTorch, Scikit-Learn, Streamlit, and SciPy. Strong understanding of software development principles, AI engineering, and MLOps. Experience working with cloud-based AI solutions on 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 ❯

hands-on, with the opportunity to step into a leadership role as the team scales. Tech Stack - Python, FastAPI, AWS, Typescript, PostgreSQL, NumPy, Pandas What You’ll Be Doing - Designing, building, and maintaining scalable backend systems for AI-driven healthcare solutions. Working closely with the ML engineers to integrate AI More ❯

Desired Skills & Experience: 5+ years of experience in Python development, ideally within financial services Strong knowledge of Python frameworks (e.g. Flask, Django), data libraries (Pandas, NumPy) Cloud-native experience, especially Microsoft Azure (Functions, Data Lake, etc.) Familiarity with DevOps practices (Git, CI/CD, testing frameworks) Experience with SQL/ More ❯

e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model More ❯

for a Python Engineer to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/Jupyter notebooks OpenTelemetry Git/Github Github actions Docker Microservices and/or lambdas Postgresql Streamlit Desirable skills include: The Fast API More ❯

complex issues Beneficial experience • Experience in trading or execution roles • Experience with equity/credit markets • Research using large, messy datasets • Familiarity with Linux • Pandas Benefits: Working alongside other extremely talented and driven engineers Extremely lucrative salary, bonus and benefits More ❯

decisions. Key Responsibilities Develop and implement quantitative analytics for balance sheet and risk management Design and code models in Python using libraries such as Pandas and Numpy Work with Technology teams to operationalise analytics and ensure production readiness Ensure models comply with risk governance frameworks and policy standards Contribute to More ❯

markets Experience with testing methodologies such as TDD (Test-Driven Development) and BDD (Behavior-Driven Development) Familiarity with technologies including PostgreSQL, Jenkins, Django, and Pandas Understanding of Microservices Architecture and development of RESTful API services Exposure to event-driven architectures, message queues, or event-streaming platforms Experience with cloud technologies More ❯

problem-solving skills Technical: · Five years Python core development experience working in an enterprise environment. · Experience in creating libraries, restful services, websockets · Libraries: Polars, Pandas, AMPS, Asyncio, Threading, multiprocessing · Two years’ experience SQL Databases (PostGreSQL desirable) – preferred but not essential More ❯

Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS, or Azure). Proven track record of writing testable code and following modern testing More ❯

standards. What you will bring: Essential: 5+ years of experience in data science, machine learning, or AI innovation. Strong coding skills in Python (e.g., Pandas, NumPy, TensorFlow, PyTorch) and SQL. Proven experience deploying ML models in production environments. 3+ years in a leadership or mentorship role within AI or data More ❯

developing custom optimization solvers or algorithms for power grid problems on top of standard optimization libraries. Familiarity with data science libraries such as NumPy, Pandas, and visualization tools (e.g., Matplotlib, Seaborn). Experience with cloud computing platforms (e.g., Google Cloud Platform, AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes). More ❯

Technical Skills: Proficient user of SQL databases, with experience in one or more programming languages (e.g., Python, R) and data analysis libraries (e.g., NumPy, Pandas, scikit-learn). Analytical Techniques: Solid understanding of statistics, including descriptive statistics, regression analysis, probability, sampling, and hypothesis testing. Web Analytics Tools: Competency in using More ❯

team, and requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products More ❯

tools and working on ad hoc projects as per the demands of the PM. Tech Stack: Python, C++ (can be either or both), AWS, Pandas, ETL, SQL, Linux Comp is very flexible and there is a chance to get a cut on PnL long term. Please apply if this is More ❯

/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data). Stack: Python, Pandas, SQL, AWS The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If More ❯

Front Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well More ❯

improve the efficiency of testing, implementing, and monitoring trading pipelines. The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is More ❯