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 More ❯
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 More ❯
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 More ❯
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 More ❯
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 More ❯
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 More ❯
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 More ❯
a strong understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing More ❯
Math, Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with automation frameworks in software testing (e.g., PyTest, Cucumber More ❯
client needs shift. Role Requirements Technical Skills Substantial experience in data engineering, analytics engineering, or similar roles. Hands-on expertise with Python (Numpy/Pandas) and SQL. Proven experience designing and building robust ETL/ELT pipelines (dbt, Airflow). Strong knowledge of data pipelining, schema design, and cloud platforms More ❯
AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.) Strong skills in data exploration, cleansing, modelling and presentation Strong experience in testing data models and Machine Learning Models Strong experience in data More ❯
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 More ❯
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 More ❯
or senior role. Proven experience in a startup or fast-paced environment. Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch). Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure More ❯
field Strong proficiency in Python and writing scalable backend systems Experience working 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 Competency in Git, CI/CD, and working within More ❯
field Strong proficiency in Python and writing scalable backend systems Experience working 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 Competency in Git, CI/CD, and working within More ❯
big data tech Docker: both building but running too Wide AWS and infrastructure knowledge, including production support Scientific computing e.g. Numpy/scipy/pandas Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert. We aim to improve all our colleagues More ❯
big data tech Docker: both building but running too Wide AWS and infrastructure knowledge, including production support Scientific computing e.g. Numpy/scipy/pandas Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert. We aim to improve all our colleagues More ❯
big data tech Docker: both building but running too Wide AWS and infrastructure knowledge, including production support Scientific computing e.g. Numpy/scipy/pandas Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert. We aim to improve all our colleagues More ❯
big data tech Docker: both building but running too Wide AWS and infrastructure knowledge, including production support Scientific computing e.g. Numpy/scipy/pandas Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert. We aim to improve all our colleagues More ❯
ability to collaborate with both technical and non-technical teams This role is 70% hands on, 30% management Technical Expertise Required - Python - proficiency with Pandas, Numpy, SQLAlchemy, FastAPI, and Pydantic MySQL, PostgreSQL, and Redis Hands-on experience with Google Cloud Platform (GCP) services like Pub/Sub, Cloud Run, VMs More ❯
ability to collaborate with both technical and non-technical teams This role is 70% hands on, 30% management Technical Expertise Required - Python - proficiency with Pandas, Numpy, SQLAlchemy, FastAPI, and Pydantic MySQL, PostgreSQL, and Redis Hands-on experience with Google Cloud Platform (GCP) services like Pub/Sub, Cloud Run, VMs More ❯
ability to collaborate with both technical and non-technical teams This role is 70% hands on, 30% management Technical Expertise Required - Python - proficiency with Pandas, Numpy, SQLAlchemy, FastAPI, and Pydantic MySQL, PostgreSQL, and Redis Hands-on experience with Google Cloud Platform (GCP) services like Pub/Sub, Cloud Run, VMs More ❯
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 More ❯
