desire to work with other software engineers. - A passion for learning new skills, including financial concepts and trading workflows. Candidate background - Python development, including: - Scientific libraries (eg, Pandas, Polars, NumPy, SciPy). - Web technologies (eg, Flask, FastAPI). - Data engineering experience. - Familiarity with cloud infrastructure (eg, AWS). Nice-to-Have - JavaScript UI frameworks (eg, React, Vue, Angular). - Docker More ❯
capabilities, 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 More ❯
capabilities, 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 More ❯
London, England, United Kingdom Hybrid / WFH Options
Fitch Ratings
and Dimension tables in Target D/W Hands-on experience with No-SQL DB, preferably MongoDB. Experience creating reusable code/scripts for Automated Framework using Python (Pandas, Numpy, Requests, Boto3) Experience creating automation frameworks using Selenium (Python) and tools to support test automation for web applications Experience working with Postman, SOAPUI, GraphQL or similar API testing tools Strong More ❯
in a fast-paced environment Detail-oriented, organized, demonstrating thoroughness and strong ownership of work Desirable skills/experience: Experience working with Python and data analysis libraries (pandas, polars, numpy) Experience with financial mathematics, statistics, and a broad understanding of financial instruments and services Experience in JavaScript development, especially with AngularJS or ReactJS AWS cloud services: EC2, S3, Aurora, Redshift More ❯
and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer with a More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer with a More ❯
fast-paced environment Detail oriented, organized, demonstrating thoroughness and strong ownership of work Desirable skills/experience: Experience working with python, and data analysis libraries (pandas/polars/numpy) Experience with financial mathematics, statistics, and broad understanding of financial services/instruments Experience in JavaScript development, especially in AngularJS or ReactJS AWS cloud services: EC2, S3, Aurora, Redshift, etc More ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer with a More ❯
related field. Professional experience with collaborative software development. Deep understanding of Python. Familiarity with Linux, bash, and the command line. Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas. Ability to write logical, consistent, self-explanatory code. Understanding of software design patterns, SOLID and DRY principles. Experience with Git/GitHub and best practices. Knowledge of More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
skills are a bonus but not mandatory Desired Skills and Experience: Kafka and message bus/queue expertise Terraform and GitHub Actions skills Open Telemetry (OTEL) implementation Proficiency with NumPy and Pandas Systems integration experience Background in commodity trading (gas & power) Quantitative finance knowledge Understanding of compliance and regulation, particularly Sarbanes-Oxley (SOx) Role Responsibilities: Collaborate with both technical and More ❯
London, England, United Kingdom Hybrid / WFH Options
Aubay UK
skills are a bonus but not mandatory Desired Skills and Experience: Kafka and message bus/queue expertise Terraform and GitHub Actions skills Open Telemetry (OTEL) implementation Proficiency with NumPy and Pandas Systems integration experience Background in commodity trading (gas & power) Quantitative finance knowledge Understanding of compliance and regulation, particularly Sarbanes-Oxley (SOx) Role Responsibilities: Collaborate with both technical and More ❯
London, England, United Kingdom Hybrid / WFH Options
Trudenty
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 a More ❯
YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with More ❯
YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python’s data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with More ❯
skills, 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 More ❯
Technology Within Risk Engineering we run a mixture of Linux and Windows, and use Python as the primary language, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long running services and analytics in C#. We More ❯
Quantitative Developer - Java (Risk Technology) Millennium is a top-tier global hedge fund committed to leveraging innovations in technology and data science to solve complex business problems. The Risk Technology team is seeking a Quantitative Developer who will utilize Java More ❯
Summary Of The Position As part of the engagement, we are seeking a Senior Software Engineer - Full Stack to work closely with the delivery teams to implement high-quality, cloud-ready solutions. This role will require hands-on development across More ❯
data quality for thousands of datasets in use across the firm. Their core systems almost all run on Linux and most code is in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java, and they use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. New tools and libraries are … university Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle Nice to have Proficient with a range of open-source frameworks and development tools e.g. NumPy/Pandas, Spark, Apache Kafka Previous experience of working with financial market data, especially tick data Experience with AWS Competitive salary + generous bonuses Extra perks including a personal development More ❯
Out in Science, Technology, Engineering, and Mathematics
and a good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. … Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
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 Azure More ❯
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 Azure More ❯
