26 to 50 of 716 Pandas Jobs in the UK

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 ❯

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 ❯

or related scientific fields. Experience with financial markets (rates, FX, credit). Knowledge of financial mathematics, modeling, and statistics. At least 3 years of development experience with Python (e.g., pandas, numpy) or C Java. Strong analytical and problem-solving skills. Experience working in a production environment. Solid communication skills. Ability to work independently in a fast-paced environment. Detail-oriented More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

on practical experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark). Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying. Overall knowledge of the Software Development Life Cycle. 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 ❯

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 ❯

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 ❯

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 ❯

interfaces for interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such as (in order of importance) TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents Some experience of designing, developing and deploying scalable infrastructure (eg Apache Airflow, Luigi or other cluster More ❯

reshaping, and joining messy datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering 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 ❯