Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking and communication platform. More ❯
end technologies (React/Angular/Typescript) Exposure to Cloud platforms like Kubernetes/Cloud Foundry Proficient in coding in one or more languages and frameworks such as Python, Pandas, Django, Java, Spring, SQL, MQ/Kafka Demonstrated ability to problem-solve in real-time and handle technical issues with a sense of urgency. Strong communication skills and ability to More ❯
from scouting to trading. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus … knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Spark, Jupyter Advantageous Prior experience of working with financial market data or alternative data Relevant mathematical knowledge e.g. statistics, time-series analysis Experience in data visualisation and building web apps More ❯
judged by the ability to deliver timely solutions to Portfolio and Risk Managers Required Skills/Experience Minimum 5 years of experience using Python and scientific python libraries (e.g., pandas, NumpPy, SciPy). Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure, or GCP). Prior experience in system design and data modeling, with the More ❯
London, England, United Kingdom Hybrid / WFH Options
Fitch Ratings
Fact 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 More ❯
work independently 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 broad understanding of financial services/instruments Experience in JavaScript development, especially in AngularJS or ReactJS AWS cloud services: EC2 More ❯
work independently in a fast-paced environment. Detail-oriented, organized, with a strong sense of ownership. Desirable skills/experience: Experience with Python and data analysis libraries such as pandas, polars, or numpy. Knowledge of financial mathematics, statistics, and financial instruments. Experience in JavaScript development, particularly with AngularJS or ReactJS. Familiarity with AWS services like EC2, S3, Aurora, Redshift, etc. More ❯
complex financial products. Deep understanding of financial mathematics, statistical analysis, and machine learning as applied to financial markets. Strong Python development skills, including proficiency with libraries such as NumPy, Pandas, SciPy, and machine learning frameworks. Java experience is a bonus. Proficiency with time-series databases, modern version control, and CI/CD pipelines. Familiarity with cloud-based technologies and scalable More ❯
London, England, United Kingdom Hybrid / WFH Options
Aubay UK
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 business stakeholders More ❯
WHAT 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 More ❯
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 use Airflow More ❯
Please note that only applications with cover letters will be considered. Summary: digiLab is a pioneering AI company that helps enterprises transform complex challenges into innovation with uncertainty quantification, explainable AI and MLOps. Working with organisations in highly regulated or More ❯
client pricing and flow analysis. At least 5 years of advanced Java development experience, including: Strong understanding of object-oriented programming and design patterns. Proficiency in Python (NumPy, SciPy, Pandas) for data analysis and prototyping. Experience with SQL and/or time-series databases. Strong Linux skills and experience working in globally distributed environments. Solid understanding of financial markets and … years of advanced Java development experience, including: Strong understanding of object-oriented programming and design patterns. Proven experience building high-performance, low-latency systems. Proficiency in Python (NumPy, SciPy, Pandas) for data analysis and prototyping. Experience with SQL and/or time-series databases. Strong Linux skills and experience working in globally distributed environments. Solid understanding of financial markets and … years of advanced Java development experience, including: * Strong understanding of object-oriented programming and design patterns. * Proven experience building high-performance, low-latency systems. * Proficiency in Python (NumPy, SciPy, Pandas) for data analysis and prototyping. * Experience with SQL and/or time-series databases. * Strong Linux skills and experience working in globally distributed environments. * Solid understanding of financial markets and More ❯
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 constantly assessed … 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 allowance and More ❯
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++. We use … 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 markets and instruments An 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
SGI
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 ❯
South East London, England, United Kingdom Hybrid / WFH Options
SGI
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 ❯
DEV/UAT/PROD deployment environments following DevOps principles Mandatory Requirements At least 2 years of professional experience in Python application development Experience with data-intensive applications using pandas and numpy Web frontend development experience with React and/or Angular Working knowledge of SQL and databases Experience with unit testing Preferred Requirements Experience in financial institutions, preferably in 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 ❯
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 ❯
