26 to 50 of 526 Pandas Jobs in London

Computer Science, Engineering, Mathematics, Physics, or related field Strong proficiency in Python and scalable backend systems Experience with cloud platforms such as GCP , AWS, or Azure Solid knowledge of Pandas for data analysis and manipulation Familiarity with software testing best practices and writing clean, testable code Experience with Git, CI/CD, and large codebases Experience with Infrastructure as Code More ❯

and adapt quickly and excellent 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 Strong differentiators: Previous Quant Dev experience Experience with Redis, Fast API, Dash, Streamlit, Rust Experience More ❯

knowledge of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Strong familiarity with Agile processes. Experience with Pandas, NumPy, Matlab, R or other mathematical/statistical languages/packages. Experience in leadership and mentoring. Excellent communication skills, both written and spoken. COMPETENCIES Communication Team work Customer focus Resilience More ❯

strong expertise in modern C++20. Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing clean, efficient, maintainable code and More ❯

Preferred Qualifications, Capabilities, and Skills Experience with FIX protocol, Market Data, Analytics, and OMS. Knowledge of market microstructure. Knowledge of equities, FX, options, and derivatives. Skills in Jupyter/Pandas, KDB+/Q, Python, and shell scripting. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to prominent clients worldwide. We prioritize building More ❯

or interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge of building and monitoring high-performance, concurrent services. Additional Information We offer a Friends of Voleon More ❯

of Python-based solutions. Person Specification.... - Masters in computer science or similar qualification - Numerous years of Python development experience - Expert proficiency in Python and its ecosystems (e.g., Flask, Django, Pandas, NumPy). - Experience in financial modelling, particularly using Python to optimise asset management systems and financial applications. - Expertise in cloud platforms, particularly Azure, and integration with Python for scalable, cloud More ❯

numerical methods. Experience with models like regression, tree-based models, support vector machines, PCA, clustering, matrix factorization, deep learning, etc. Proficiency in Python and its machine learning ecosystem (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch). Knowledge of SQL and experience with relational databases. Agile, action-oriented mindset. Nice to Have Experience with Apache Spark, cloud platforms (AWS, GCP, Azure), or More ❯

Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt More ❯

Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt More ❯

Experience or interest in mentoring junior engineers Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow) Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, data.table/R Experience working with AWS or other cloud platforms Knowledge of building and monitoring high-performance, concurrent services “Friends of Voleon” Candidate Referral Program If you have More ❯

a related technical field Preferred qualifications, capabilities, and skills Experience with FIX, Market Data, Analytics and OMS Market microstructure knowledge Equities, FX, options, derivatives asset class knowledge Jupyter/Pandas, KDB+/Q, Python, shell scripting About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments More ❯

both written and verbal Bonus Points: Experience of research and backtesting to evaluate the performance of trading strategies and models Proficiency in Rust and Python, statistical tools (e.g., NumPy, pandas, SciPy) Experience of development with relational and time series database technologies Knowledge of risk management infrastructure What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective More ❯

methodologies for analyzing and interpreting large 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 : Generous equity package, on More ❯

or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong proficiency in Python and commonly used libraries such as Pandas, NumPy, and Dask. Hands-on experience with DevOps tools such as Git, Bitbucket, and CI/CD pipelines (e.g. TeamCity). Proven experience in software development within a production environment More ❯

or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong proficiency in Python and commonly used libraries such as Pandas, NumPy, and Dask. Hands-on experience with DevOps tools such as Git, Bitbucket, and CI/CD pipelines (e.g. TeamCity). Proven experience in software development within a production environment More ❯

methodologies for analyzing and interpreting large 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: Generous equity package, on More ❯

Spark Streaming Proficiency with AWS services , including Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on with Python , especially in data handling (pandas, scikit-learn, etc.) Familiarity with RESTful web services and event-driven architectures Strong debugging, testing (JUnit or equivalent), and system design skills Passion for building scalable , reliable platforms that support More ❯

/NiFi Familiarity with data visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low-latency trading Knowledge of financial markets is desirable but experience of working in other "big data" or HPC environments is More ❯

growing organisation. Role Requirements Technical Expertise 4+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines Advanced Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding More ❯

analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong More ❯

analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong More ❯

platform development experience in the Python 3.x ecosystem Strong understanding of the fundaments of software engineering and design Awareness of data science concepts and technologies (Jupyter/Notebooks, numpy, pandas etc.) Financial markets experience preferred DevOps (CI/CD) Experience preferred Computer Science or relevant Engineering degree This is a £550-£600/day PAYE role (c.  More ❯

or any other scientific fields Experience with financial markets (rates/fx/credit) Experience with financial mathematics/modeling/statistics 3+ years of development experience with Python (pandas/numpy, etc.) or C Java Strong analytical skills Strong problem solving capabilities Experience working in a production environment Solid communication skills Able to work independently in a fast-paced More ❯

years of hands-on experience. You’ll help streamline client onboarding, build robust integrations, and play a key role in evolving the platform. 🛠 Tech Stack & Methodology Python (Dataclasses, Pandas, Asyncio) PostgreSQL , AWS (ECS, Lambda, SQS) Agile (XP), TDD, CI/CD, and strong automation culture If you're familiar with these tools—or eager to dive in—this is the More ❯