microstructure experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in more »
demonstrated by a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships with more »
to help shape the team going forward. What they are looking for: 3+ years of experience in Python, will consider C++. Ideally experience with Pandas and Numpy. Financial experience is preferred but not necessary. A strong Comp. Sci (or related degree) from a top university. Salary depends on experience. more »
a substantial public sector implementation of IT solutions and systems, facilitating the development of tailored software. Tech Stack: Python Java JavaScript React (Desirable) Docker Pandas Flask Tkinter Go Gradle SQL Linux Bash Shell Scripting go gin This is a very brief outline of the role, and a full job description more »
required for this Senior Python Software Engineer position? MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries - NumPy, Pandas, Polars etc Bonus: Knowledge of financial markets or quantitative finance concepts If you are a Senior Python Software Engineer and you are looking to join more »
Utilize existing and new datasets to develop significant insights and decision support tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets more »
Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model more »
analysts and stakeholders to translate their needs into robust, scalable software solutions. Ideal Experience: Extensive Python experience, adept at data manipulation and analysis with Pandas and data frames. Experience building APIs with FAST API and interacting with databases using SQL. Cloud-based development is ideal, particularly in AWS services. Containerisation more »
in using quantitative methods for strategy parameter optimization Prior experience at a top tier hedge fund, proprietary trading house or investment bank Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries more »
bonds) and modern OIS/Libor techniques. Preferred experience in US Treasury and European government bond markets. Proficient in Python and data manipulation libraries (Pandas, NumPy, SciPy). Experience with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. more »
environment Exceptional SQL skills including an appreciation for performance tuning on a variety of database engines Data pipeline development experience in Python (especially using pandas, parsing API responses, posting data to API’s etc.) Excellent analytical and problem-solving skills An appreciation for the big picture while delivering short/ more »
candidate should have the majority of the following: Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within more »
Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven more »
Have a Bachelor's or Master's degree in Computer Science or related field. 3+ years of data engineering experience with strong Python (including Pandas) skills. Strong proficiency in Object-Oriented Programming. Have strong problem-solving and communication skills. Experience working in Commodities, Trading or Financial Services markets. For more more »
for improvement. Qualifications Maths/Computer Science/Engineering Masters or PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest more »
a Server Side language with experience in web development frameworks like Angular. Understanding of in Python, with some experience of popular libraries such as Pandas and NumPy. Knowledge of design software like Adobe InDesign is beneficial Understanding of integration of many data sources into a single system. Ability to work more »
quality, performance, and scalability. Qualifications Bachelor’s Degree in Computer Science, Information Systems, Mathematics, etc. 7+ years in Python and libraries like PyTorch, NumPy, Pandas, Matplotlib, QuantLib, etc Experience in Systems that handle high-throughput, low-latency data Experience with multi-threading, concurrency, and high-frequency trading (HFT). Experience more »
in machine learning for marketing analytics, including MMM or econometrics. Track record of creating products for marketing teams or stakeholders. Proficiency in SQL, Python (pandas, NumPy, scikit-learn), and translating technical insights. Experience with A/B testing, segmentation analysis, and propensity modelling. Strong communication skills for creating user-friendly more »
as a Python Developer, with a strong portfolio of relevant projects. Technical Skills: Proficiency in Python and its libraries/frameworks (e.g., Django, Flask, Pandas, NumPy). Experience with data processing and analysis. Familiarity with database systems (SQL and NoSQL). Knowledge of version control systems (e.g., Git). Understanding more »
microservices, workflow orchestration, relatively straightforward but with an unusual set of constraints). Knowledge of one of more of the following technologies: Python (sqlalchemy, pandas, fastapi); Javascript/Typescript (React, Vue); SQL (MSSQL).All profiles will be reviewed against the required skills and experience. Due to the high number of more »
as a Data Scientist, with a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing more »
and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various data sources within enterprise tools (python, pandas, or SQL) to enable application of Data Science methods Create metrics and analytical reports to ensure data quality and business value. Clean, structure and normalize more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
respective expertise and requirements. You have A BSc or MSc in computer science or related fields. Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis). Strong more »
results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure
results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s more »
